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Wyszukujesz frazę ""Big data"" wg kryterium: Temat


Tytuł :
My Data, My Choice? - German Patient Organizations' Attitudes towards Big Data-Driven Approaches in Personalized Medicine. An Empirical-Ethical Study.
Autorzy :
Rauter CM; Department of Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany. .
Wöhlke S; Department of Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany.; Hamburg University of Applied Science, HAW Hamburg, Germany.
Schicktanz S; Department of Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany.
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Źródło :
Journal of medical systems [J Med Syst] 2021 Feb 22; Vol. 45 (4), pp. 43. Date of Electronic Publication: 2021 Feb 22.
Typ publikacji :
Journal Article
MeSH Terms :
Attitude*
Big Data*
Ownership*
Precision Medicine/*ethics
Empirical Research ; Humans ; Interviews as Topic
Czasopismo naukowe
Tytuł :
A cross-sectional study of the epidemic situation on COVID-19 in Gansu Province, China - a big data analysis of the national health information platform.
Autorzy :
Yan X; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Wang J; School of Public Health, Lanzhou University, Lanzhou, China.; WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou, China.; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou University, Lanzhou, China.
Yao J; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China. .
Estill J; Institute of Global Health, University of Geneva, Geneva, Switzerland.; Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland.
Wu S; School of Public Health, Lanzhou University, Lanzhou, China.
Lu J; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Liang B; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Li H; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Tao S; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Bai H; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Liu H; Health Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Chen Y; School of Public Health, Lanzhou University, Lanzhou, China. .; WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou, China. .; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou University, Lanzhou, China. .
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Corporate Authors :
COVID-19 evidence and recommendations working group
Źródło :
BMC infectious diseases [BMC Infect Dis] 2021 Feb 05; Vol. 21 (1), pp. 146. Date of Electronic Publication: 2021 Feb 05.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
SARS-CoV-2*
COVID-19/*epidemiology
Adolescent ; Adult ; Aged ; Aged, 80 and over ; COVID-19/etiology ; Child ; Child, Preschool ; China/epidemiology ; Cross-Sectional Studies ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Risk Factors ; Sex Factors ; Young Adult
Czasopismo naukowe
Tytuł :
Predicting In-Hospital Mortality at Admission to the Medical Ward: A Big-Data Machine Learning Model.
Autorzy :
Soffer S; DeepVision Lab, Tel-Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: .
Klang E; DeepVision Lab, Tel-Hashomer, Israel; Department of Diagnostic Imaging, Tel-Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Barash Y; DeepVision Lab, Tel-Hashomer, Israel; Department of Diagnostic Imaging, Tel-Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York.
Grossman E; Internal Medicine, Tel-Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Zimlichman E; Hospital Management, Sheba Medical Center, Tel-Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
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Źródło :
The American journal of medicine [Am J Med] 2021 Feb; Vol. 134 (2), pp. 227-234.e4. Date of Electronic Publication: 2020 Aug 15.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Inpatients*
Machine Learning*
Hospital Mortality/*trends
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Risk Factors ; Young Adult
Czasopismo naukowe
Tytuł :
How wide is the application of genetic big data in biomedicine.
Autorzy :
Liu Y; Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, China; Guangdong Key Laboratory for Research and Development of Natural Drugs, The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China.
Li N; College of Basic Medicine, Chongqing Medical University, Chongqing, China.
Zhu X; Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, China; Guangdong Key Laboratory for Research and Development of Natural Drugs, The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China; The Key Lab of Zhanjiang for R&D Marine Microbial Resources in the Beibu Gulf Rim, Guangdong Medical University, Zhanjiang, China; The Marine Biomedical Research Institute of Guangdong Zhanjiang, Zhanjiang, China. Electronic address: .
Qi Y; Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, China; Guangdong Key Laboratory for Research and Development of Natural Drugs, The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China; The Key Lab of Zhanjiang for R&D Marine Microbial Resources in the Beibu Gulf Rim, Guangdong Medical University, Zhanjiang, China; The Marine Biomedical Research Institute of Guangdong Zhanjiang, Zhanjiang, China. Electronic address: .
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Źródło :
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie [Biomed Pharmacother] 2021 Jan; Vol. 133, pp. 111074. Date of Electronic Publication: 2020 Dec 09.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Big Data*
Biomedical Research*
Genomics*
Precision Medicine*
Animals ; Cardiovascular Diseases/diagnosis ; Cardiovascular Diseases/genetics ; Cardiovascular Diseases/therapy ; Data Mining ; Humans ; Mental Disorders/diagnosis ; Mental Disorders/genetics ; Mental Disorders/therapy ; Neoplasms/diagnosis ; Neoplasms/genetics ; Neoplasms/therapy
Czasopismo naukowe
Tytuł :
A false promise of COVID-19 'big' health data? Health data integrity and the ethics and realities of Australia's health information management practice.
Autorzy :
Robinson K; Department of Public Health, School of Psychology & Public Health, 97586La Trobe University, Australia.
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Źródło :
Health information management : journal of the Health Information Management Association of Australia [Health Inf Manag] 2021 Jan-May; Vol. 50 (1-2), pp. 9-12. Date of Electronic Publication: 2020 Jul 17.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
COVID-19*/drug therapy
Health Information Management/*ethics
Access to Information ; Administrative Personnel ; Australia ; Bioethics ; Computer Security ; Data Interpretation, Statistical ; Electronic Health Records ; Health Information Management/legislation & jurisprudence ; Humans ; Hydroxychloroquine/therapeutic use ; Privacy ; Research ; SARS-CoV-2
Czasopismo naukowe
Tytuł :
Beyond MRI: on the scientific value of combining non-human primate neuroimaging with metadata.
Autorzy :
Poirier C; Biosciences Institute & Centre for Behaviour and Evolution, Faculty of Medical Sciences, Newcastle 6, UK. Electronic address: .
Hamed SB; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Université de Lyon - CNRS, France.
Garcia-Saldivar P; Instituto de Neurobiología, UNAM, Campus Juriquilla. Boulevard Juriquilla No. 3001 Querétaro, Qro. 76230 México.
Kwok SC; Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics Ministry of Education, Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), Shanghai Changning Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan, Jiangsu, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai, China.
Meguerditchian A; Laboratoire de Psychologie Cognitive, UMR7290, Université Aix-Marseille/CNRS, Institut Language, Communication and the Brain 13331 Marseille, France.
Merchant H; Instituto de Neurobiología, UNAM, Campus Juriquilla. Boulevard Juriquilla No. 3001 Querétaro, Qro. 76230 México.
Rogers J; Human Genome Sequencing Center and Dept. of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA 77030.
Wells S; Centre for Macaques, MRC Harwell Institute, Porton Down, Salisbury, United Kingdom.
Fox AS; California National Primate Research Center, Department of Psychology, University of California, Davis, Davis, CA, 95616, USA.
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Źródło :
NeuroImage [Neuroimage] 2021 Mar; Vol. 228, pp. 117679. Date of Electronic Publication: 2021 Jan 06.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms :
Big Data*
Metadata*
Neuroimaging*
Primates*
Information Dissemination/*methods
Animals ; Behavior, Animal ; Genotype ; Magnetic Resonance Imaging ; Phylogeny
Czasopismo naukowe
Tytuł :
Unprecedented need and recommendations for harnessing data to guide future policy and practice for opioid use disorder treatment following COVID-19.
Autorzy :
Livingston NA; National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, United States of America; U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, United States of America; Department of Psychiatry, Boston University School of Medicine, Boston, MA, United States of America. Electronic address: .
Ameral V; Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States of America.
Banducci AN; U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, United States of America; Department of Psychiatry, Boston University School of Medicine, Boston, MA, United States of America; National Center for PTSD, Women's Health Sciences Division, VA Boston Healthcare System, Boston, MA, United States of America.
Weisberg RB; U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, United States of America; Department of Psychiatry, Boston University School of Medicine, Boston, MA, United States of America; Department of Family Medicine, Alpert Medical School, Brown University, Providence, RI, United States of America.
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Źródło :
Journal of substance abuse treatment [J Subst Abuse Treat] 2021 Mar; Vol. 122, pp. 108222. Date of Electronic Publication: 2020 Dec 03.
Typ publikacji :
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms :
Big Data*
COVID-19/*therapy
Health Policy/*legislation & jurisprudence
Opioid-Related Disorders/*drug therapy
Buprenorphine/therapeutic use ; Drug Overdose/drug therapy ; Health Policy/trends ; Humans ; Methadone/therapeutic use ; Narcotic Antagonists/therapeutic use ; Narcotics/therapeutic use ; Opiate Substitution Treatment ; Pandemics ; United States
Czasopismo naukowe
Tytuł :
[Epidemiological research in the big data era: opportunities, challenges and prospectives].
Autorzy :
Wang YZ; School of Public Health, Nanjing Medical University/Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Ma HX; School of Public Health, Nanjing Medical University/Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Jin GF; School of Public Health, Nanjing Medical University/Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Hu ZB; School of Public Health, Nanjing Medical University/Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Shen HB; School of Public Health, Nanjing Medical University/Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
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Źródło :
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [Zhonghua Liu Xing Bing Xue Za Zhi] 2021 Jan 10; Vol. 42 (1), pp. 10-14.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Big Data*
China/epidemiology ; Epidemiologic Studies ; Humans ; Prospective Studies
Czasopismo naukowe
Tytuł :
[THE IMPACT OF ARTIFICIAL INTELLIGENCE AND BIG DATA ON HEALTHCARE].
Autorzy :
Hemmo Lotem M; Osheya- Woman lead wellness, Health leaders forum.
Tzezana R; Yuval Ne'eman Workshop for Science, Technology and Security, Tel Aviv University, Ramat Aviv.
Levtzion-Korach O; Medical Executive Offices, Shamir Medical Center (Assaf Harofeh), Zerifin, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv.
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Źródło :
Harefuah [Harefuah] 2021 Jan; Vol. 160 (1), pp. 24-29.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Big Data*
Delivery of Health Care ; Humans
Czasopismo naukowe
Tytuł :
Big Data Analytics + Virtual Clinical Semantic Network (vCSN): An Approach to Addressing the Increasing Clinical Nuances and Organ Involvement of COVID-19.
Autorzy :
Rahman F; From the Biomedical Engineering, University of Arizona, Tucson, Arizona.
Meyer R; Goldblatt Systems, Tucson, Arizona.
Kriak J; Goldblatt Systems, Tucson, Arizona.
Goldblatt S; Goldblatt Systems, Tucson, Arizona.
Slepian MJ; From the Biomedical Engineering, University of Arizona, Tucson, Arizona.; Departments of Medicine, University of Arizona, Tucson, Arizona.; Sarver Heart Center, University of Arizona, Tucson, Arizona.; Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, Arizona.
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Źródło :
ASAIO journal (American Society for Artificial Internal Organs : 1992) [ASAIO J] 2021 Jan 01; Vol. 67 (1), pp. 18-24.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Big Data*
Data Science*
Semantic Web*
COVID-19/*diagnosis
COVID-19/*physiopathology
Symptom Assessment/*methods
Humans ; Machine Learning ; Medical Informatics/methods ; Models, Theoretical ; Reproducibility of Results ; Semantics
Czasopismo naukowe
Tytuł :
[Evaluation of a future scenario concerning the use of big data applications to improve the care of people with rare diseases].
Autorzy :
Sedlmayr B; Zentrum für Evidenzbasierte Gesundheitsversorgung, Universitätsklinikum und Medizinische Fakultät Carl Gustav Carus der Technischen Universität Dresden, Dresden, Deutschland; Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Deutschland. Electronic address: .
Knapp A; Zentrum für Evidenzbasierte Gesundheitsversorgung, Universitätsklinikum und Medizinische Fakultät Carl Gustav Carus der Technischen Universität Dresden, Dresden, Deutschland.
Kümmel M; Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Deutschland.
Bathelt F; Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Deutschland.
Sedlmayr M; Institut für Medizinische Informatik und Biometrie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Deutschland.
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Transliterated Title :
Evaluation eines Zukunftsszenarios zur Nutzung von Big-Data-Anwendungen für die Verbesserung der Versorgung von Menschen mit seltenen Erkrankungen.
Źródło :
Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen [Z Evid Fortbild Qual Gesundhwes] 2020 Dec; Vol. 158-159, pp. 81-91. Date of Electronic Publication: 2020 Nov 26.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Rare Diseases*/therapy
Delivery of Health Care ; Germany ; Humans ; Surveys and Questionnaires
Czasopismo naukowe
Tytuł :
Deeper Spatial Statistical Insights into Small Geographic Area Data Uncertainty.
Autorzy :
Griffith DA; School of Economic, Political and Policy Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA.
Chun Y; School of Economic, Political and Policy Sciences, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA.
Lee M; Memory Business Division, Samsung Electronics Co. Ltd., 1, Samsungjeonja-ro, Hwaseong-si, Gyeonggi-do 18448, Korea.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Dec 30; Vol. 18 (1). Date of Electronic Publication: 2020 Dec 30.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms :
Big Data*
Geography*
Spatial Analysis*
Florida ; Humans ; Population Density ; Uncertainty
Czasopismo naukowe
Tytuł :
[Application of healthy big data in prevention and control of chronic diseases].
Autorzy :
Liu Y; National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China; Tobacco Control office, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Li H; Ningbo Prefectural Center for Disease Control and Prevention, Ningbo 315010, China.
Zeng XY; Tobacco Control office, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Dong WL; National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Liu SW; National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China; Tobacco Control office, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
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Źródło :
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [Zhonghua Liu Xing Bing Xue Za Zhi] 2020 Dec 10; Vol. 41 (12), pp. 2163-2168.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Chronic Disease*/prevention & control
Humans
Czasopismo naukowe
Tytuł :
Big data and artificial intelligence discover novel drugs targeting proteins without 3D structure and overcome the undruggable targets.
Autorzy :
He H; Jiangsu Key Lab of Drug Screening, China Pharmaceutical University, Nanjing, China.
Liu B; Jiangsu Key Lab of Drug Screening, China Pharmaceutical University, Nanjing, China.
Luo H; Jiangsu Key Lab of Drug Screening, China Pharmaceutical University, Nanjing, China.
Zhang T; Jiangsu Key Lab of Drug Screening, China Pharmaceutical University, Nanjing, China.
Jiang J; Institute of Pharmacologic Science, China Pharmaceutical University, Nanjing, China .
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Źródło :
Stroke and vascular neurology [Stroke Vasc Neurol] 2020 Dec; Vol. 5 (4), pp. 381-387. Date of Electronic Publication: 2020 Mar 29.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review
MeSH Terms :
Artificial Intelligence*
Big Data*
Computer-Aided Design*
Data Mining*
Drug Design*
Drug Discovery*
Pharmaceutical Preparations/*chemistry
Proteins/*chemistry
Animals ; Databases, Protein ; Humans ; Ligands ; Molecular Structure ; Molecular Targeted Therapy ; Protein Conformation ; Structure-Activity Relationship
Czasopismo naukowe
Tytuł :
Big Data and Atrial Fibrillation: Current Understanding and New Opportunities.
Autorzy :
Wang QC; Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, China.
Wang ZY; Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, No.139 Renmin Road, Changsha, Hunan, China. .
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Źródło :
Journal of cardiovascular translational research [J Cardiovasc Transl Res] 2020 Dec; Vol. 13 (6), pp. 944-952. Date of Electronic Publication: 2020 May 06.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review
MeSH Terms :
Atrial Fibrillation*/diagnosis
Atrial Fibrillation*/physiopathology
Atrial Fibrillation*/therapy
Big Data*
Data Mining*
Machine Learning*
Animals ; Data Accuracy ; Humans
Czasopismo naukowe
Tytuł :
Spatiotemporal Big Data for PM 2.5 Exposure and Health Risk Assessment during COVID-19.
Autorzy :
He H; School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.; Institute of International Rivers and Eco-security, Yunnan University, Kunming 650500, China.
Shen Y; School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Jiang C; School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Li T; School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Guo M; School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China.
Yao L; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Oct 21; Vol. 17 (20). Date of Electronic Publication: 2020 Oct 21.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Big Data*
Coronavirus Infections*
Pandemics*
Pneumonia, Viral*
Risk Assessment*
Environmental Exposure/*analysis
Particulate Matter/*analysis
Betacoronavirus ; COVID-19 ; China/epidemiology ; Humans ; Middle East ; SARS-CoV-2 ; Spatio-Temporal Analysis
Czasopismo naukowe
Tytuł :
How Data Analytics and Big Data Can Help Scientists in Managing COVID-19 Diffusion: Modeling Study to Predict the COVID-19 Diffusion in Italy and the Lombardy Region.
Autorzy :
Tosi D; Università degli Studi dell'Insubria, Varese, Italy.
Campi A; Politecnico di Milano, Milano, Italy.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2020 Oct 14; Vol. 22 (10), pp. e21081. Date of Electronic Publication: 2020 Oct 14.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Betacoronavirus*
Big Data*
Coronavirus Infections/*epidemiology
Pneumonia, Viral/*epidemiology
COVID-19 ; Computer Simulation ; Coronavirus Infections/transmission ; Data Science ; Humans ; Italy/epidemiology ; Pandemics ; Pneumonia, Viral/transmission ; SARS-CoV-2
Czasopismo naukowe
Tytuł :
Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations.
Autorzy :
Wu J; Dong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
Wang J; Dong Fureng Institute of Economic and Social Development, Wuhan University, Beijing, China.
Nicholas S; Australian National Institute of Management and Commerce, Sydney, Australia.; Newcastle Business School, University of Newcastle, Newcastle, Australia.
Maitland E; School of Management, University of Liverpool, Liverpool, United Kingdom.
Fan Q; Dong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2020 Oct 09; Vol. 22 (10), pp. e21980. Date of Electronic Publication: 2020 Oct 09.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Coronavirus Infections/*prevention & control
Pandemics/*prevention & control
Pneumonia, Viral/*prevention & control
Betacoronavirus ; COVID-19 ; China/epidemiology ; Computer Security ; Coronavirus Infections/epidemiology ; Data Collection ; Humans ; Information Dissemination ; Information Storage and Retrieval ; Pneumonia, Viral/epidemiology ; Privacy ; SARS-CoV-2
Czasopismo naukowe

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