Development and validation of HBV surveillance models using big data and machine learning.

Autor: Dong W; Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China., Da Roza CC; Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China., Cheng D; Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China., Zhang D; Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China., Xiang Y; Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China., Seto WK; Department of Medicine and State Key Laboratory of Liver Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.; Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China., Wong WCW; Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.; Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.

Publikováno v: Annals of medicine [Ann Med] 2024 Dec; Vol. 56 (1), pp. 2314237. Date of Electronic Publication: 2024 Feb 10.

Moving ecological tree-ring big data forwards: Limitations, data integration, and multidisciplinarity.

Autor: Manzanedo RD; Plant Ecology, Institute of Integrative Biology, D-USYS, ETH Zürich, Zürich, Switzerland; Institute of Plant Sciences, University of Bern, Bern, Switzerland. Electronic address: ruben.manzanedo@unibe.ch., Chin ARO; Plant Ecology, Institute of Integrative Biology, D-USYS, ETH Zürich, Zürich, Switzerland; Dpt. of Biological Sciences, California State Polytechnic University - Humboldt, Arcata, USA., Ettinger AK; The Nature Conservancy, Seattle, WA, USA., Pederson N; Harvard Forest, Harvard University, Petersham, MA, USA., Pradhan K; Biology Dpt., University of Washington, Seattle, USA., Guiterman CH; CIRES, University of Colorado Boulder and NOAA's NCEI, USA., Su J; School of Ecology, Sun Yat-sen University, Shenzhen, China., Baumgarten F; Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, Canada., Hille Ris Lambers J; Plant Ecology, Institute of Integrative Biology, D-USYS, ETH Zürich, Zürich, Switzerland; Biology Dpt., University of Washington, Seattle, USA.

Publikováno v: The Science of the total environment [Sci Total Environ] 2024 Dec 10; Vol. 955, pp. 177244. Date of Electronic Publication: 2024 Nov 02.

Can big data policy drive urban carbon unlocking efficiency? A new approach based on double machine learning.

Autor: Shen N; School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China., Zhang G; School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China. Electronic address: zgp27182@163.com., Zhou J; School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China., Zhang L; School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China., Wu L; School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China., Zhang J; School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China., Shang X; School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China.

Publikováno v: Journal of environmental management [J Environ Manage] 2024 Dec; Vol. 372, pp. 123296. Date of Electronic Publication: 2024 Nov 22.

Big data research is everyone's research-Making epilepsy data science accessible to the global community: Report of the ILAE big data commission.

Autor: Josephson CB; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.; O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada.; Centre for Health Informatics, University of Calgary, Calgary, Alberta, Canada.; Institute for Health Informatics, University College London, London, UK., Aronica E; Department of (Neuro)Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands.; Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands., Beniczky S; Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.; Department of Neurophysiology, Danish Epilepsy Center, Dianalund, Denmark.; Department of Clinical Medicine, Aarhus University and Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark., Boyce D; Tufts University School of Medicine, Boston, Massachusetts, USA.; Johns Hopkins University Biomedical Informatics and Data Science Section, Baltimore, Maryland, USA.; West Chester University Department of Public Policy and Administration, West Chester, Pennsylvania, USA., Cavalleri G; School of Pharmacy and Biomolecular Sciences, The Royal College of Surgeons in Ireland, Dublin, Ireland.; FutureNeuro SFI Research Centre, The Royal College of Surgeons in Ireland, Dublin, Ireland., Denaxas S; Institute for Health Informatics, University College London, London, UK.; British Heart Foundation Data Science Center, Health Data Research UK, London, UK., French J; Department of Neurology, Grossman School of Medicine, New York University, New York, New York, USA., Jehi L; Epilepsy Center, Cleveland Clinic, Cleveland, Ohio, USA.; Center for Computational Life Sciences, Cleveland, Ohio, USA., Koh H; Harvard Brain Science Initiative, Harvard University, Boston, Massachusetts, USA., Kwan P; Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.; Department of Neurology, Alfred Health, Melbourne, Victoria, Australia.; Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia., McDonald C; Department of Radiation Medicine and Applied Sciences & Psychiatry, University of California, San Diego, California, USA., Mitchell JW; Institute of Systems, Molecular and Integrative Biology (ISMIB), University of Liverpool, Liverpool, UK.; Department of Neurology, The Walton Cetnre NHS Foundation Trust, Liverpool, UK., Rampp S; Department of Neurosurgery and Department of Neuroradiology, University Hospital Erlangen, Department of Neurosurgery, University Hospital Halle (Saale), Halle (Saale), Germany., Sadleir L; Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand., Sisodiya SM; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG and Chalfont Centre for Epilepsy, London, UK., Wang I; Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA., Wiebe S; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.; O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada.; Clinical Research Unit, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada., Yasuda C; Department of Neurology, University of Campinas, Campinas, Brazil., Youngerman B; Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.

Publikováno v: Epileptic disorders : international epilepsy journal with videotape [Epileptic Disord] 2024 Dec; Vol. 26 (6), pp. 733-752. Date of Electronic Publication: 2024 Oct 24.

Big data from population surveys and environmental monitoring-based machine learning predictions of indoor PM 2.5 in 22 cities in China.

Autor: Du Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China. Electronic address: duyanjun@nieh.chinacdc.cn., Zhang Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Li Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Huang Q; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Wang Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Wang Q; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Ma R; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Sun Q; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Wang Q; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China., Li T; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China. Electronic address: litiantian@nieh.chinacdc.cn.

Publikováno v: Ecotoxicology and environmental safety [Ecotoxicol Environ Saf] 2024 Nov 15; Vol. 287, pp. 117285. Date of Electronic Publication: 2024 Nov 05.