Chatbots and Scholarly Databases: Impressions from Trying Out Scopus AI.

Autorzy: Nogueira, Leticia Antunes¹ leticia.a.nogueira@ntnu.no

Źródło: Information Technology & Libraries. Mar2025, Vol. 44 Issue 1, p1-8. 8p.

Hasła: *COMMUNICATIVE competence, *NATURAL language processing, *MISINFORMATION, *DATABASE management software, *INFORMATION retrieval, *INFORMATION literacy, *ADULT education workshops, *CHATBOTS, *CRITICAL thinking

Real-world insights of patient voices with age-related macular degeneration in the Republic of Korea and Taiwan: an AI-based Digital Listening study by Semantic-Natural Language Processing.

Autorzy: Jeon H; Roche Product Development Safety Risk Management, Roche Products Pty Limited, Sydney, Australia., Yu SY; Department of Pharmacy, College of Pharmacy, Kangwon National University, Chuncheon, Republic of Korea. suyeon.yu@kangwon.ac.kr., Chertkova O; Roche Product Development Safety Risk Management, Roche Products Limited, Welwyn Garden City, UK., Yun H; Roche Product Development Safety Risk Management, Roche Korea Company Ltd, Seoul, Republic of Korea., Ng YL; Roche Product Development Safety Risk Management, Roche (Malaysia) Sdn. Bhd., Subang Jaya, Malaysia., Lim YY; Roche Product Development Safety Risk Management, Roche Hong Kong Limited, Kowloon Bay, Hong Kong SAR., Efimenko I; Semantic Hub SA, Lausanne, Switzerland., Makhlouf DM; Roche Product Development Safety Risk Management, F. Hoffmann-La Roche AG, Basel, Switzerland.

Źródło: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Mar 18; Vol. 25 (1), pp. 137. Date of Electronic Publication: 2025 Mar 18.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Hasło MeSH: Macular Degeneration*/therapy , Natural Language Processing* , Artificial Intelligence*, Humans ; Taiwan ; Republic of Korea ; Semantics

Integration of large-scale community-developed causal loop diagrams: a Natural Language Processing approach to merging factors based on semantic similarity.

Autorzy: Valdivia Cabrera M; Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC, Australia. melissa.v@research.deakin.edu.au., Johnstone M; Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC, Australia., Hayward J; Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia., Bolton KA; Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia.; Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia., Creighton D; Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Geelong, VIC, Australia.

Źródło: BMC public health [BMC Public Health] 2025 Mar 08; Vol. 25 (1), pp. 923. Date of Electronic Publication: 2025 Mar 08.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , Semantics* , Causality*, Humans ; Victoria ; Child

Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification.

Autorzy: Arends B; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands. b.k.o.arends-4@umcutrecht.nl., Vessies M; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands., van Osch D; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands., Teske A; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands., van der Harst P; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands., van Es R; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands., van Es B; Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht, The Netherlands.

Źródło: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Mar 07; Vol. 25 (1), pp. 115. Date of Electronic Publication: 2025 Mar 07.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Hasło MeSH: Echocardiography*/classification , Machine Learning* , Natural Language Processing*, Humans ; Netherlands

Identifying opioid relapse during COVID-19 using natural language processing of nationwide Veterans Health Administration electronic medical record data.

Autorzy: Livingston NA; National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System., Mandavia AD; National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System., Banducci AN; Department of Psychiatry, Boston University, Chobanian & Avedisian School of Medicine., Sistad Hall R; Minneapolis VA Healthcare System., Loeffel LB; Department of Psychiatry, Boston University, Chobanian & Avedisian School of Medicine., Davenport M; Boston CSPCC, VA Boston Healthcare System., Mathes-Winnicki B; Department of Psychiatry, Boston University, Chobanian & Avedisian School of Medicine., Ting M; National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System., Roth CE; National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System., Sarpong A; Boston VA Research Institute., Newberger N; National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System., Hinds Z; National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System., Fonda JR; Department of Psychiatry, Boston University, Chobanian & Avedisian School of Medicine., Chen D; Boston CSPCC, VA Boston Healthcare System., Meng F; Boston CSPCC, VA Boston Healthcare System.

Źródło: Journal of psychopathology and clinical science [J Psychopathol Clin Sci] 2025 May; Vol. 134 (4), pp. 448-457. Date of Electronic Publication: 2025 Mar 20.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: American Psychological Association Country of Publication: United States NLM ID: 9918351179206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2769-755X (Electronic) Linking ISSN: 27697541 NLM ISO Abbreviation: J Psychopathol Clin Sci Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , COVID-19*/epidemiology , Electronic Health Records*/statistics & numerical data , Opioid-Related Disorders*/epidemiology , Opioid-Related Disorders*/diagnosis , Veterans*/statistics & numerical data, Humans ; United States/epidemiology ; United States Department of Veterans Affairs/statistics & numerical data ; Male ; Female ; Recurrence ; Middle Aged ; Adult ; SARS-CoV-2

Verbal behavior and the future of social science.

Autorzy: Boyd RL; Department of Computer Science, Stony Brook University., Markowitz DM; Department of Communication, Michigan State University.

Źródło: The American psychologist [Am Psychol] 2025 Apr; Vol. 80 (3), pp. 411-433. Date of Electronic Publication: 2024 May 30.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: American Psychological Association Country of Publication: United States NLM ID: 0370521 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1935-990X (Electronic) Linking ISSN: 0003066X NLM ISO Abbreviation: Am Psychol Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , Social Sciences*/trends , Verbal Behavior*, Humans ; Forecasting

Optimising window size of semantic of classification model for identification of in-text citations based on context and intent.

Autorzy: Iqbal A; Institute of Computing Kohat University of Science and Technology, Kohat, Pakistan., Shahid A; National College of Ireland, Dublin, Ireland., Roman M; Institute of Computing Kohat University of Science and Technology, Kohat, Pakistan., Afzal MT; Shifa School of Computing, Shifa Tameer-e-Millat University, Islamabad, Pakistan., Hassan UU; JE Cairnes School of Business and Economics, University of Galway, Galway, Ireland.; Insight SFI Research Centre for Data Analytics, University of Galway, Galway, Ireland.

Źródło: PloS one [PLoS One] 2025 Mar 24; Vol. 20 (3), pp. e0309862. Date of Electronic Publication: 2025 Mar 24 (Print Publication: 2025).

Typ publikacji: Journal Article

Opis czasopisma: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Hasło MeSH: Semantics* , Natural Language Processing*, Deep Learning ; Machine Learning ; Humans

Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing.

Autorzy: Gil-Clavel S; Department of Multi-Actor Systems, Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan, Delft, The Netherlands., Wagenblast T; Department of Multi-Actor Systems, Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan, Delft, The Netherlands., Filatova T; Department of Multi-Actor Systems, Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan, Delft, The Netherlands.

Źródło: PloS one [PLoS One] 2025 Mar 19; Vol. 20 (3), pp. e0318784. Date of Electronic Publication: 2025 Mar 19 (Print Publication: 2025).

Typ publikacji: Journal Article; Comparative Study

Opis czasopisma: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Hasło MeSH: Climate Change* , Agriculture* , Natural Language Processing* , Adaptation, Physiological*, Humans ; Farmers

A corpus-based analysis of noun modifiers in L2 writing: The respective impact of L2 proficiency and L1 background.

Autorzy: Bozdağ FÜ; Faculty of Science and Humanities, Osmaniye Korkut Ata University, Fakiusagi Mah, Merkez Osmaniye, Turkey., Mo J; School of Foreign Languages, Soochow University, Suzhou, China., Morris G; Centre for English Language Education, University of Nottingham, Ningbo, China.

Źródło: PloS one [PLoS One] 2025 Mar 18; Vol. 20 (3), pp. e0320092. Date of Electronic Publication: 2025 Mar 18 (Print Publication: 2025).

Typ publikacji: Journal Article

Opis czasopisma: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Hasło MeSH: Multilingualism* , Writing* , Natural Language Processing*, Humans ; Bayes Theorem ; Linguistics ; Language ; Learning

A study on large-scale disease causality discovery from biomedical literature.

Autorzy: Yu S; National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu, 610041, China.; Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, China., Dong P; Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China., Li J; Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China., Tang X; Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China. tang.xiaoli@imicams.ac.cn., Li X; Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China. lixiaoying@imicams.ac.cn.

Źródło: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Mar 18; Vol. 25 (1), pp. 136. Date of Electronic Publication: 2025 Mar 18.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Hasło MeSH: Semantics* , Data Mining*/methods , Causality* , Knowledge Discovery*/methods , Natural Language Processing*, Humans

Integrative diagnosis of psychiatric conditions using ChatGPT and fMRI data.

Autorzy: Li R; Vanderbilt University, 2301 Vanderbilt Place, Nashville, 37235, TN, USA. Runda.li@vanderbilt.edu.

Źródło: BMC psychiatry [BMC Psychiatry] 2025 Feb 19; Vol. 25 (1), pp. 145. Date of Electronic Publication: 2025 Feb 19.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 100968559 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-244X (Electronic) Linking ISSN: 1471244X NLM ISO Abbreviation: BMC Psychiatry Subsets: MEDLINE

Hasło MeSH: Magnetic Resonance Imaging*/methods , Mental Disorders*/diagnosis , Mental Disorders*/diagnostic imaging , Natural Language Processing*, Humans ; Male ; Female ; Adult ; Neural Networks, Computer ; Reproducibility of Results ; Brain/diagnostic imaging ; Generative Artificial Intelligence

A series of natural language processing for predicting tumor response evaluation and survival curve from electronic health records.

Autorzy: Takeuchi T; Xcoo, Inc. Hongo-Sanchome TH Bldg., 6F, 2-40-8, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. take@xcoo.jp., Horinouchi H; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Takasawa K; Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan., Mukai M; Division of Medical Informatics, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan., Masuda K; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Shinno Y; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Okuma Y; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Yoshida T; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Goto Y; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Yamamoto N; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Ohe Y; Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan., Miyake M; Department of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan., Watanabe H; Department of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan., Kusumoto M; Department of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan., Aoki T; Xcoo, Inc. Hongo-Sanchome TH Bldg., 6F, 2-40-8, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan., Nishimura K; Xcoo, Inc. Hongo-Sanchome TH Bldg., 6F, 2-40-8, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan., Hamamoto R; Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.

Źródło: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Feb 17; Vol. 25 (1), pp. 85. Date of Electronic Publication: 2025 Feb 17.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , Electronic Health Records*/statistics & numerical data , Lung Neoplasms*/drug therapy , Lung Neoplasms*/mortality , Antineoplastic Agents*/therapeutic use, Humans ; Japan ; Survival Analysis

De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT.

Autorzy: An J; Graduate School of Data Science, Seoul National University, Seoul, South Korea., Kim J; Graduate School of Data Science, Seoul National University, Seoul, South Korea., Sunwoo L; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea., Baek H; Healthcare ICT Research Center, Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea., Yoo S; Healthcare ICT Research Center, Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea. yoosoo0@snubh.org., Lee S; Graduate School of Data Science, Seoul National University, Seoul, South Korea. lee7801@snu.ac.kr.

Źródło: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Feb 17; Vol. 25 (1), pp. 82. Date of Electronic Publication: 2025 Feb 17.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Hasło MeSH: Electronic Health Records*/standards , Data Anonymization* , Natural Language Processing* , Confidentiality*, Humans ; Republic of Korea

A foundation systematic review of natural language processing applied to gastroenterology & hepatology.

Autorzy: Stammers M; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK. m.stammers@soton.ac.uk.; Southampton Emerging Therapies and Technologies (SETT) Centre, Southampton, SO16 6YD, UK. m.stammers@soton.ac.uk.; Clinical Informatics Research Unit (CIRU), Coxford Road, Southampton, SO16 5AF, UK. m.stammers@soton.ac.uk.; University of Southampton, Southampton, SO17 1BJ, UK. m.stammers@soton.ac.uk., Ramgopal B; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK., Owusu Nimako A; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK., Vyas A; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK., Nouraei R; Clinical Informatics Research Unit (CIRU), Coxford Road, Southampton, SO16 5AF, UK.; University of Southampton, Southampton, SO17 1BJ, UK.; Queen's Medical Centre, ENT Department, Nottingham, NG7 2UH, UK., Metcalf C; University of Southampton, Southampton, SO17 1BJ, UK.; School of Healthcare Enterprise and Innovation, University of Southampton, University of Southampton Science Park, Enterprise Road, Chilworth, Southampton, SO16 7NS, UK., Batchelor J; Clinical Informatics Research Unit (CIRU), Coxford Road, Southampton, SO16 5AF, UK.; University of Southampton, Southampton, SO17 1BJ, UK., Shepherd J; Southampton Health Technologies Assessment Centre (SHTAC), Enterprise Road, Alpha House, Southampton, SO16 7NS, England., Gwiggner M; University Hospital Southampton, Tremona Road, Southampton, SO16 6YD, UK.; University of Southampton, Southampton, SO17 1BJ, UK.

Źródło: BMC gastroenterology [BMC Gastroenterol] 2025 Feb 06; Vol. 25 (1), pp. 58. Date of Electronic Publication: 2025 Feb 06.

Typ publikacji: Journal Article; Systematic Review

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 100968547 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-230X (Electronic) Linking ISSN: 1471230X NLM ISO Abbreviation: BMC Gastroenterol Subsets: MEDLINE

Hasło MeSH: Gastroenterology*/methods , Natural Language Processing*, Humans

Scalable information extraction from free text electronic health records using large language models.

Autorzy: Gu B; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Suite 3030-R, Boston, MA, 02120, USA.; Department of Otorhinolaryngology - Head & Neck Surgery, Mayo Clinic, Rochester, MN, USA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA., Shao V; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Suite 3030-R, Boston, MA, 02120, USA., Liao Z; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA., Carducci V; Department of Otorhinolaryngology - Head & Neck Surgery, Mayo Clinic, Rochester, MN, USA., Brufau SR; Department of Otorhinolaryngology - Head & Neck Surgery, Mayo Clinic, Rochester, MN, USA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA., Yang J; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Suite 3030-R, Boston, MA, 02120, USA., Desai RJ; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Suite 3030-R, Boston, MA, 02120, USA. rdesai@bwh.harvard.edu.

Źródło: BMC medical research methodology [BMC Med Res Methodol] 2025 Jan 28; Vol. 25 (1), pp. 23. Date of Electronic Publication: 2025 Jan 28.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

Hasło MeSH: Electronic Health Records*/statistics & numerical data , Social Determinants of Health*/statistics & numerical data , Natural Language Processing* , Information Storage and Retrieval*/methods , Data Mining*/methods, Humans ; Cross-Sectional Studies ; Language ; Large Language Models

Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder.

Autorzy: Vance LA; Holmusk Technologies, Inc, 54 Thompson St, New York, NY, 10012, USA. alex.vance@holmusk.com., Way L; Holmusk Technologies, Inc, 54 Thompson St, New York, NY, 10012, USA., Kulkarni D; KKT Technologies, Pte. Ltd, Blk 71, Ayer Rajah Crescent, #06-07/08/09 and #07-08/09, Singapore, 139951, Singapore., Palmer EOC; Holmusk Europe, Ltd, 414 Linen Hall, 162-168 Regent St, London, W1B 5TE, UK., Ghosh A; KKT Technologies, Pte. Ltd, Blk 71, Ayer Rajah Crescent, #06-07/08/09 and #07-08/09, Singapore, 139951, Singapore., Unruh M; Holmusk Technologies, Inc, 54 Thompson St, New York, NY, 10012, USA., Chan KMY; KKT Technologies, Pte. Ltd, Blk 71, Ayer Rajah Crescent, #06-07/08/09 and #07-08/09, Singapore, 139951, Singapore., Girdhari A; KKT Technologies, Pte. Ltd, Blk 71, Ayer Rajah Crescent, #06-07/08/09 and #07-08/09, Singapore, 139951, Singapore., Sarkar J; KKT Technologies, Pte. Ltd, Blk 71, Ayer Rajah Crescent, #06-07/08/09 and #07-08/09, Singapore, 139951, Singapore.

Źródło: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Jan 13; Vol. 25 (1), pp. 20. Date of Electronic Publication: 2025 Jan 13.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , Anhedonia* , Depressive Disorder, Major*/psychology , Depressive Disorder, Major*/diagnosis , Suicidal Ideation* , Electronic Health Records*, Humans ; Female ; Male ; Adult ; Middle Aged ; Reproducibility of Results

Hybrid natural language processing tool for semantic annotation of medical texts in Spanish.

Autorzy: Campillos-Llanos L; ILLA - CSIC (Spanish National Research Council), C/Albasanz 26-28, 28037, Madrid, Spain. leonardo.campillos@csic.es., Valverde-Mateos A; Medical Terminology Unit, Spanish Royal Academy of Medicine, C/Arrieta 12, 28013, Madrid, Spain., Capllonch-Carrión A; Centro de Salud Retiro, Hospital Universitario Gregorio Marañon, C/Lope de Rueda, 43, 28009, Madrid, Spain.

Źródło: BMC bioinformatics [BMC Bioinformatics] 2025 Jan 08; Vol. 26 (1), pp. 7. Date of Electronic Publication: 2025 Jan 08.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , Semantics*, Humans ; Electronic Health Records ; Deep Learning ; Data Mining/methods ; Language ; Spain

Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.

Autorzy: Ma J; Center of Clinical Pharmacology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China., Chen H; Department of Pharmacy, The First Hospital of Changsha, Central South University, Changsha, Hunan, China., Sun J; Department of Pharmacy, The First Hospital of Changsha, Central South University, Changsha, Hunan, China., Huang J; Department of Pharmacy, The First Hospital of Changsha, Central South University, Changsha, Hunan, China., He G; Department of Pharmacy, The First Hospital of Changsha, Central South University, Changsha, Hunan, China. 326366726@qq.com.; The First Hospital of Changsha, No 311, Yingpan Road, Kaifu District, Changsha, 410005, Hunan, China. 326366726@qq.com., Yang G; Center of Clinical Pharmacology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China. ygp9880@126.com.; The Third Xiangya Hospital of Central South University, No 138, Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, China. ygp9880@126.com.

Źródło: BMC medical research methodology [BMC Med Res Methodol] 2024 Dec 20; Vol. 24 (1), pp. 312. Date of Electronic Publication: 2024 Dec 20.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , Machine Learning* , Chemical and Drug Induced Liver Injury*/diagnosis , Chemical and Drug Induced Liver Injury*/etiology , Drug Interactions* , Isoniazid*/adverse effects , Antitubercular Agents*/adverse effects, Humans ; Retrospective Studies ; Female ; Male ; Middle Aged ; Case-Control Studies ; Electronic Health Records/statistics & numerical data ; Drug-Related Side Effects and Adverse Reactions/diagnosis ; Adult ; Logistic Models

Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences.

Autorzy: Walsh J; Warwick Medical School, University of Warwick, Coventry, United Kingdom., Cave J; Department of Economics, University of Warwick, Coventry, United Kingdom., Griffiths F; Warwick Medical School, University of Warwick, Coventry, United Kingdom.; Centre for Health Policy, University of the Witwatersrand, Johannesburg, South Africa.

Źródło: Journal of medical Internet research [J Med Internet Res] 2024 Dec 11; Vol. 26, pp. e54321. Date of Electronic Publication: 2024 Dec 11.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

Hasło MeSH: Modafinil*/therapeutic use , Natural Language Processing* , Linguistics*, Humans ; Social Media ; Data Mining/methods ; Internet

Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models.

Autorzy: Zhang X; Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA. xiz261@pitt.edu., Wang Y; Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA., Jiang Y; School of Nursing, University of Michigan, Ann Arbor, MI, USA., Pacella CB; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Zhang W; Knight Foundation School of Computing & Information Sciences, Florida International University, Miami, USA. wenbinzhang2008@gmail.com.

Źródło: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Dec 05; Vol. 24 (1), pp. 372. Date of Electronic Publication: 2024 Dec 05.

Typ publikacji: Journal Article

Opis czasopisma: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Hasło MeSH: Natural Language Processing* , Emergency Service, Hospital* , Triage*/methods , Severity of Illness Index*, Humans ; Adult ; Male ; Female ; Middle Aged ; Machine Learning ; Aged