Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects.

Auteurs: Chen X; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. xiang.chen@kaust.edu.sa., Moraga P; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.

Source: BMC public health [BMC Public Health] 2025 Mar 12; Vol. 25 (1), pp. 973. Date of Electronic Publication: 2025 Mar 12.

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Dengue*/epidemiology , Neural Networks, Computer* , Forecasting* , Climate*, Brazil/epidemiology ; Humans ; Spatial Analysis

Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry.

Auteurs: Idrees M; Department of Economics and Quantitative Methods, Dr. Hasan Murad School of Management (HSM), University of Management and Technology (UMT), Lahore, Pakistan., Hussain Sial M; Department of Economics and Quantitative Methods, Dr. Hasan Murad School of Management (HSM), University of Management and Technology (UMT), Lahore, Pakistan., Ul Hassan N; Department of Economics, Thal University, Bhakkar, Pakistan.

Source: PloS one [PLoS One] 2025 Mar 18; Vol. 20 (3), pp. e0319679. Date of Electronic Publication: 2025 Mar 18 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Investments*/economics , Neural Networks, Computer* , Forecasting*/methods , Models, Economic* , Commerce*, Humans ; Memory, Short-Term ; Deep Learning ; Industry/economics

Global Burden of substance use disorders among adolescents during 1990-2021 and a forecast for 2022-2030: an analysis for the Global Burden of Disease 2021.

Auteurs: Yu C; Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China., Chen J; Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China. jianhua.chen@smhc.org.cn.; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China. jianhua.chen@smhc.org.cn.; Shanghai Institute of Traditional Chinese Medicine for Mental Health, Shanghai, China. jianhua.chen@smhc.org.cn.; Yueyang Hospital of Integrated Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. jianhua.chen@smhc.org.cn.; The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China. jianhua.chen@smhc.org.cn.

Source: BMC public health [BMC Public Health] 2025 Mar 14; Vol. 25 (1), pp. 1012. Date of Electronic Publication: 2025 Mar 14.

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Substance-Related Disorders*/epidemiology , Global Burden of Disease*/trends , Forecasting* , Global Health*/statistics & numerical data, Humans ; Adolescent ; Male ; Female ; Child ; Young Adult ; Bayes Theorem ; Disability-Adjusted Life Years/trends ; Prevalence ; Incidence

Exploring a long short-term memory for mountain flood forecasting based on watershed-internal knowledge graph and large language model.

Auteurs: Wang S; School of Computer Science and Technology, Zhejiang University of Water Resources and Electric Power, Hangzhou, China.; College of Engineering, Ocean University of China, Qingdao, China., Xu O; School of Computer Science and Technology, Zhejiang University of Water Resources and Electric Power, Hangzhou, China.

Source: PloS one [PLoS One] 2025 Mar 13; Vol. 20 (3), pp. e0318644. Date of Electronic Publication: 2025 Mar 13 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Floods* , Forecasting*/methods, China ; Neural Networks, Computer ; Models, Theoretical ; Memory, Short-Term

Advancing pearl millet yield forecasting: Comparative analysis of individual and ensemble machine learning approaches over Rajasthan, India.

Auteurs: Alsaber A; Department of Management, College of Business and Economics, American University of Kuwait, Salmiya, Kuwait., Setiya P; Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India., Satpathi A; Division of Agrometeorology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir Shalimar campus, Srinagar, India., Aljamaan A; College of Art and Science, American University of Kuwait, Slamiya, Kuwait., Pan J; Department of Mathematics and Statistics, University of Strathclyde, Glasgow, United Kingdom.

Source: PloS one [PLoS One] 2025 Mar 11; Vol. 20 (3), pp. e0317602. Date of Electronic Publication: 2025 Mar 11 (Print Publication: 2025).

Type de publication: Journal Article; Comparative Study

Informations sur la revue: 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

Termes MeSH: Pennisetum*/growth & development , Machine Learning* , Forecasting*/methods, India ; Droughts

Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

Auteurs: Molla MM; Department of Statistics, Pirojpur Science and Technology University, Pirojpur, Bangladesh., Hossain MS; Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh., Ali MA; Department of Statistics, University of Barishal, Barishal, Bangladesh., Islam MR; Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh., Sultana MP; Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh., Roy DC; Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.

Source: PloS one [PLoS One] 2025 Mar 04; Vol. 20 (3), pp. e0314466. Date of Electronic Publication: 2025 Mar 04 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Machine Learning* , Sustainable Development*/trends , Forecasting*/methods , Infant Mortality*/trends, Bangladesh/epidemiology ; Humans ; Algorithms ; Female ; Maternal Mortality/trends ; Neural Networks, Computer ; Infant, Newborn ; Infant ; Accidents, Traffic/mortality ; Accidents, Traffic/statistics & numerical data ; Accidents, Traffic/prevention & control ; Child Mortality/trends ; Child, Preschool

Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting.

Auteurs: Irhuma M; Institute of Social Sciences, University of Mediterranean Karpasia, Mersin, Turkey., Alzubi A; Institute of Social Sciences, University of Mediterranean Karpasia, Mersin, Turkey., Öz T; Institute of Social Sciences, University of Mediterranean Karpasia, Mersin, Turkey., Iyiola K; Institute of Social Sciences, University of Mediterranean Karpasia, Mersin, Turkey.

Source: PloS one [PLoS One] 2025 Mar 03; Vol. 20 (3), pp. e0318851. Date of Electronic Publication: 2025 Mar 03 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Neural Networks, Computer* , Algorithms* , Forecasting*/methods, Humans

ANOTHER GOOD YEAR FOR STOCKS. (cover story)

Auteurs: SMITH, ANNE KATES (AUTHOR) Anne.Smith@futurenet.com

Source: Kiplinger Personal Finance. Jan2025, Vol. 79 Issue 1, p22-30. 8p. 2 Color Photographs, 1 Chart.

Mots-clés sujets: *ECONOMIC forecasting, *INTEREST rates, *BUSINESS cycles, *MID-capitalization stocks, *MORTGAGE-backed securities, *CENTRAL banking industry, *PETROLEUM sales & prices, *REAL estate investment trusts, *EXCHANGE traded funds

Entreprise/Institution: BANK of America Corp. 055169452

Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan.

Auteurs: Qureshi M; Govt Degree College TangoJam, Hyderabad 70060, Sindh, Pakistan.; Department of Statistics, Quaid-i-Azam University, 45320, Islamabad, Pakistan., Ishaq K; Ibn-e-Sina Medical University Mirpurkhas, Sindh, Pakistan., Daniyal M; Department of Statistics, Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur, Pakistan., Iftikhar H; Department of Statistics, Quaid-i-Azam University, 45320, Islamabad, Pakistan. hasnain@stat.qau.edu.pk.; Al-Barkaat Institute of Management Studies, Aligarh 202122, Dr. A. P. J. Abdul Kalam Technical University, Lucknow 226010, India. hasnain@stat.qau.edu.pk., Rehman MZ; Department of Finance, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia., Salar SAA; Al-Barkaat Institute of Management Studies, Aligarh 202122, Dr. A. P. J. Abdul Kalam Technical University, Lucknow 226010, India.

Source: BMC public health [BMC Public Health] 2025 Jan 04; Vol. 25 (1), pp. 34. Date of Electronic Publication: 2025 Jan 04.

Type de publication: Journal Article; Research Support, Non-U.S. Gov't

Informations sur la revue: 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

Termes MeSH: Cardiovascular Diseases*/mortality , Neural Networks, Computer* , Forecasting*, Pakistan/epidemiology ; Humans ; Male ; Female

Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM.

Auteurs: Niako N; School of Mathematical & Statistical Sciences, University of Texas Rio Grande Valley, One West University Boulevard, Brownsville, TX, 78520, USA., Melgarejo JD; Rio Grande Valley Alzheimer's Disease Resource Center for Minority Aging Research (RGV AD-RCMAR), The University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA.; Institute for Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX, USA.; Institute of Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, South Texas Alzheimer's Disease Center, University of Texas Rio Grande Valley, Harlingen, TX, USA., Maestre GE; Rio Grande Valley Alzheimer's Disease Resource Center for Minority Aging Research (RGV AD-RCMAR), The University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA.; Institute for Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX, USA.; Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.; Institute of Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, South Texas Alzheimer's Disease Center, University of Texas Rio Grande Valley, Harlingen, TX, USA., Vatcheva KP; School of Mathematical & Statistical Sciences, University of Texas Rio Grande Valley, One West University Boulevard, Brownsville, TX, 78520, USA. Kristina.Vatcheva@utrgv.edu.; Rio Grande Valley Alzheimer's Disease Resource Center for Minority Aging Research (RGV AD-RCMAR), The University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA. Kristina.Vatcheva@utrgv.edu.

Source: BMC medical research methodology [BMC Med Res Methodol] 2024 Dec 26; Vol. 24 (1), pp. 320. Date of Electronic Publication: 2024 Dec 26.

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Forecasting*/methods , Blood Pressure*/physiology , Algorithms*, Humans ; Neural Networks, Computer ; Models, Statistical

Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting.

Auteurs: Lv Z; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Sun R; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Liu X; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Wang S; Changsha University of Science and Technology, Changsha, Hunan, 410114, China., Guo X; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Lv Y; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Yao M; Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, 410005, China. yaomin1984@126.com., Zhou J; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China. zhoujunhua@hunnu.edu.cn.

Source: BMC infectious diseases [BMC Infect Dis] 2024 Dec 03; Vol. 24 (1), pp. 1377. Date of Electronic Publication: 2024 Dec 03.

Type de publication: Journal Article

Informations sur la revue: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE

Termes MeSH: Tuberculosis*/epidemiology , Forecasting*, Humans ; China/epidemiology ; Models, Statistical

Does Financial Statement Line-Item Comparability Affect Analysts' Forecasts?

Auteurs: Henry, Elaine¹ (AUTHOR) ehenry1@stevens.edu, Liu, Fang-Chun² (AUTHOR), Yang, Steve¹ (AUTHOR), Zhu, Xiaodi³ (AUTHOR)

Source: Journal of Accounting, Auditing & Finance. Apr2025, Vol. 40 Issue 2, p337-369. 33p.

Mots-clés sujets: *FINANCIAL statements, *BUSINESS forecasting, *ECONOMIC indicators, *FORECASTING, *BUSINESS enterprises, *EARNINGS forecasting

Revolutionize cold chain: an AI/ML driven approach to overcome capacity shortages.

Auteurs: Jackson, Ilya¹ (AUTHOR) ilyajack@mit.edu, Namdar, Jafar² (AUTHOR), Saénz, Maria Jesús¹ (AUTHOR), Elmquist III, Richard Augustus¹ (AUTHOR), Dávila Novoa, Luis Rodrigo¹ (AUTHOR)

Source: International Journal of Production Research. Mar2025, Vol. 63 Issue 6, p2190-2212. 23p.

Mots-clés sujets: *BOX-Jenkins forecasting, *FORECASTING methodology, *ARTIFICIAL intelligence, MACHINE learning, DEMAND forecasting

Exploring different modelling approaches to forecast the community acute respiratory infections burden in children: an Italian epidemiological time series study.

Auteurs: Boracchini R; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, Laboratory of Healthcare Research and Pharmacoepidemiology, University of Milan-Bicocca, Via Bicocca Degli Arcimboldi, 8, Milan, 20126, Italy. riccardo.boracchini@unimib.it.; Department of Medicine and Surgery, University of Milan-Bicocca, Via Cadore 48, Monza, 20900, Italy. riccardo.boracchini@unimib.it., Canova B; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, Laboratory of Healthcare Research and Pharmacoepidemiology, University of Milan-Bicocca, Via Bicocca Degli Arcimboldi, 8, Milan, 20126, Italy., Ferrara P; Center for Public Health Research, University of Milan-Bicocca, Via Cadore 48, Monza, 20900, Italy.; Laboratory of Public Health, IRCCS Istituto Auxologico Italiano, Via Ariosto 13, Milan, 20145, Italy., Barbieri E; Department of Women's and Children's Health, University of Padova, Via Giustiniani, 3, Padua, 35128, Italy., Lovaglio PG; Department of Statistics and Quantitative Methods and CRISP, University of Milan-Bicocca, Via Bicocca Degli Arcimboldi, 8, Milan, 20126, Italy., Scamarcia A; Società Servizi Telematici (SoSeTe), Pedianet Project, Via Giacomo Medici 9/A, Padua, 35138, Italy., Corrao G; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, Laboratory of Healthcare Research and Pharmacoepidemiology, University of Milan-Bicocca, Via Bicocca Degli Arcimboldi, 8, Milan, 20126, Italy., Donà D; Department of Women's and Children's Health, University of Padova, Via Giustiniani, 3, Padua, 35128, Italy., Giaquinto C; Department of Women's and Children's Health, University of Padova, Via Giustiniani, 3, Padua, 35128, Italy., Di Chiara C; Department of Women's and Children's Health, University of Padova, Via Giustiniani, 3, Padua, 35128, Italy., Cantarutti A; Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, Laboratory of Healthcare Research and Pharmacoepidemiology, University of Milan-Bicocca, Via Bicocca Degli Arcimboldi, 8, Milan, 20126, Italy.

Source: BMC public health [BMC Public Health] 2025 Feb 28; Vol. 25 (1), pp. 810. Date of Electronic Publication: 2025 Feb 28.

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Respiratory Tract Infections*/epidemiology , Forecasting*, Humans ; Italy/epidemiology ; Child ; Infant ; Child, Preschool ; Adolescent ; Infant, Newborn ; Seasons ; Male ; Acute Disease ; Female ; COVID-19/epidemiology ; Incidence ; Models, Statistical ; Cost of Illness

Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

Auteurs: Naznin S; Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh., Uddin MJ; Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.; Faculty of Graduate Studies, Daffodil International University, Dhaka, Bangladesh., Ahmad I; FCPS (Internal Medicine) Part-II Trainee, Medicine Unit-2, Shaheed Suhrawardy Medical College Hospital, Dhaka, Bangladesh., Kabir A; Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.

Source: PloS one [PLoS One] 2025 Feb 07; Vol. 20 (2), pp. e0317715. Date of Electronic Publication: 2025 Feb 07 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Machine Learning* , Child Mortality*/trends , Forecasting*/methods, Bangladesh/epidemiology ; Humans ; Infant ; Child, Preschool ; Female ; Infant Mortality/trends ; Male ; Bayes Theorem ; Infant, Newborn ; Linear Models

Global, regional, and national burden of blindness and vision loss attributable to smoking from 1990 to 2021, and forecasts to 2030: findings from the Global Burden of Disease Study 2021.

Auteurs: Zeng Y; Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.; Hunan Key Laboratory of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Key Specialty of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), Central South University, Changsha, Hunan, 410008, P.R. China., Liu Y; Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.; Hunan Key Laboratory of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Key Specialty of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), Central South University, Changsha, Hunan, 410008, P.R. China., Chen X; Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.; Hunan Key Laboratory of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Key Specialty of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), Central South University, Changsha, Hunan, 410008, P.R. China., Kenny J; Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.; Hunan Key Laboratory of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Key Specialty of Ophthalmology, Changsha, Hunan, 410008, P.R. China.; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), Central South University, Changsha, Hunan, 410008, P.R. China., Rong R; Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China. rrong99@csu.edu.cn.; Hunan Key Laboratory of Ophthalmology, Changsha, Hunan, 410008, P.R. China. rrong99@csu.edu.cn.; National Clinical Key Specialty of Ophthalmology, Changsha, Hunan, 410008, P.R. China. rrong99@csu.edu.cn.; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), Central South University, Changsha, Hunan, 410008, P.R. China. rrong99@csu.edu.cn., Xia X; Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China. xbxia21@csu.edu.cn.; Hunan Key Laboratory of Ophthalmology, Changsha, Hunan, 410008, P.R. China. xbxia21@csu.edu.cn.; National Clinical Key Specialty of Ophthalmology, Changsha, Hunan, 410008, P.R. China. xbxia21@csu.edu.cn.; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital), Central South University, Changsha, Hunan, 410008, P.R. China. xbxia21@csu.edu.cn.

Source: BMC public health [BMC Public Health] 2025 Feb 04; Vol. 25 (1), pp. 440. Date of Electronic Publication: 2025 Feb 04.

Type de publication: Journal Article; Research Support, Non-U.S. Gov't

Informations sur la revue: 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

Termes MeSH: Global Burden of Disease*/trends , Blindness*/epidemiology , Blindness*/etiology , Smoking*/epidemiology , Smoking*/adverse effects , Global Health*/statistics & numerical data , Forecasting*, Humans ; Male ; Female ; Middle Aged ; Aged ; Adult ; Aged, 80 and over ; Young Adult ; Adolescent ; Macular Degeneration/epidemiology ; Cataract/epidemiology ; Vision Disorders/epidemiology ; Vision Disorders/etiology

Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

Auteurs: Morbey RA; Real-time Syndromic Surveillance Team, Field Services, Health Protection Operations, UK Health Security Agency, Birmingham, United Kingdom., Todkill D; Real-time Syndromic Surveillance Team, Field Services, Health Protection Operations, UK Health Security Agency, Birmingham, United Kingdom.; Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom., Moura P; Department of Health and Social Care, London, United Kingdom., Tollinton L; Health Analytics and Automation, Data Analytics and Surveillance, UK Health Security Agency, London, United Kingdom., Charlett A; Statistics, Modelling and Economics Division, UK Health Security Agency, London, United Kingdom., Watson C; Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, London, United Kingdom., Elliot AJ; Real-time Syndromic Surveillance Team, Field Services, Health Protection Operations, UK Health Security Agency, Birmingham, United Kingdom.

Source: PloS one [PLoS One] 2025 Jan 27; Vol. 20 (1), pp. e0292829. Date of Electronic Publication: 2025 Jan 27 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Machine Learning* , Seasons* , Respiratory Syncytial Virus Infections*/epidemiology , Forecasting*/methods, Humans ; England/epidemiology ; Pilot Projects ; Child, Preschool ; Infant ; Health Services Needs and Demand

Unveiling the future: Wavelet- ARIMAX analysis of climate and diarrhea dynamics in Bangladesh's Urban centers.

Auteurs: Waliullah M; Department of Applied Mathematics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh., Hossain MJ; Department of Applied Mathematics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh. z_math_du@yahoo.com., Hasan MR; Department of Applied Mathematics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh., Hannan A; Department of Applied Mathematics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh., Rahman MM; School of Business, University of Southern Queensland, Queensland (QLD), 4350, Australia.

Source: BMC public health [BMC Public Health] 2025 Jan 24; Vol. 25 (1), pp. 318. Date of Electronic Publication: 2025 Jan 24.

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Diarrhea*/epidemiology , Wavelet Analysis* , Forecasting*, Bangladesh/epidemiology ; Humans ; Climate ; Incidence ; Weather ; Urban Population/statistics & numerical data ; Models, Statistical ; Climate Change

An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection.

Auteurs: Sakib M; Department of Computer Science, Aligarh Muslim University, Aligarh, UP, India., Siddiqui T; Department of Computer Science, Aligarh Muslim University, Aligarh, UP, India.; Department of Information Technology, Imam Mohammad Ibn Saud Islamic University, Riyadh, KSA., Mustajab S; Department of Computer Science, Aligarh Muslim University, Aligarh, UP, India., Alotaibi RM; Department of Information Technology, Imam Mohammad Ibn Saud Islamic University, Riyadh, KSA., Alshareef NM; Department of Information Technology, Imam Mohammad Ibn Saud Islamic University, Riyadh, KSA., Khan MZ; Department of Information Systems and Cybersecurity, University of Bisha, Bisha, KSA.

Source: PloS one [PLoS One] 2025 Jan 15; Vol. 20 (1), pp. e0310465. Date of Electronic Publication: 2025 Jan 15 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Deep Learning* , Forecasting*/methods , Algorithms*, Humans

Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy.

Auteurs: Zeng X; School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China., Liang C; School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China., Yang Q; School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China., Wang F; School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China., Cai J; School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China.

Source: PloS one [PLoS One] 2025 Jan 14; Vol. 20 (1), pp. e0310296. Date of Electronic Publication: 2025 Jan 14 (Print Publication: 2025).

Type de publication: Journal Article

Informations sur la revue: 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

Termes MeSH: Neural Networks, Computer* , Forecasting*/methods , Algorithms*, Machine Learning ; Investments ; Models, Economic ; Humans