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Podgląd okładki
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
Szczegóły
Podgląd okładki
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
Szczegóły
Podgląd okładki
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
Szczegóły
Podgląd okładki
Tytuł :
Causal relations of health indices inferred statistically using the DirectLiNGAM algorithm from big data of Osaka prefecture health checkups.
Autorzy :
Kotoku J; Graduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.; Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan.
Oyama A; Graduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
Kitazumi K; Graduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
Toki H; Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan.; Research Center for Nuclear Physics, Osaka University, Osaka, Japan.
Haga A; Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan.; Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Yamamoto R; Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan.
Shinzawa M; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yamakawa M; Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Fukui S; Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yamamoto K; Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan.; Department of Medical Informatics, Wakayama Medical University Hospital, Wakayama, Japan.
Moriyama T; Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan.
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Źródło :
PloS one [PLoS One] 2020 Dec 23; Vol. 15 (12), pp. e0243229. Date of Electronic Publication: 2020 Dec 23 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Big Data*
Medical Informatics*
Adult ; Age Factors ; Aged ; Aged, 80 and over ; Algorithms ; Female ; Humans ; Japan/epidemiology ; Male ; Metabolic Syndrome/blood ; Metabolic Syndrome/diagnosis ; Metabolic Syndrome/epidemiology ; Middle Aged ; Normal Distribution ; Sex Factors
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
We need to keep a reproducible trace of facts, predictions, and hypotheses from gene to function in the era of big data.
Autorzy :
Kasif S; Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America.; Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America.
Roberts RJ; Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America.; New England Biolabs, Ipswich, Massachusetts, United States of America.
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Źródło :
PLoS biology [PLoS Biol] 2020 Nov 30; Vol. 18 (11), pp. e3000999. Date of Electronic Publication: 2020 Nov 30 (Print Publication: 2020).
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Gene Regulatory Networks*
Genomics/*statistics & numerical data
Algorithms ; Artificial Intelligence ; Computational Biology ; Genetic Linkage ; High-Throughput Nucleotide Sequencing ; Humans ; Models, Genetic ; Proteomics/statistics & numerical data ; Synthetic Biology ; Systems Biology
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Predictive topology refinements in distributed stream processing system.
Autorzy :
Hanif M; Division of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea.
Lee C; Division of Computer Science and Engineering, Hanyang University, Seoul, Republic of Korea.
Helal S; School of Computing and Communications, Lancaster University, Lancaster, United Kingdom.
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Źródło :
PloS one [PLoS One] 2020 Nov 05; Vol. 15 (11), pp. e0240424. Date of Electronic Publication: 2020 Nov 05 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Big Data*
Quality Control*
Cloud Computing/*standards
Computer Communication Networks/*standards
Algorithms ; Workload
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Storing, combining and analysing turkey experimental data in the Big Data era.
Autorzy :
Schokker D; Animal Breeding and Genomics Centre, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 338, Wageningen6700 AH, The Netherlands.
Athanasiadis IN; Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, P.O. Box 47, Wageningen6700 AA, The Netherlands.
Visser B; Hendrix Genetics Research, Technology & Services B.V., Spoorstraat 69, P.O. Box 114, Boxmeer5831 CK, The Netherlands.
Veerkamp RF; Animal Breeding and Genomics Centre, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 338, Wageningen6700 AH, The Netherlands.
Kamphuis C; Animal Breeding and Genomics Centre, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 338, Wageningen6700 AH, The Netherlands.
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Źródło :
Animal : an international journal of animal bioscience [Animal] 2020 Nov; Vol. 14 (11), pp. 2397-2403. Date of Electronic Publication: 2020 Jun 22.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Walking*
Animals ; Gait ; Turkeys
Czasopismo naukowe
Szczegóły
Podgląd okładki
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
Szczegóły
Podgląd okładki
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
Szczegóły
Podgląd okładki
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
Szczegóły
Podgląd okładki
Tytuł :
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles.
Autorzy :
Lian Y; School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan, People's Republic of China.
Zhang G; School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan, People's Republic of China.
Lee J; School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan, People's Republic of China. Electronic address: .
Huang H; School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan, People's Republic of China.
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Źródło :
Accident; analysis and prevention [Accid Anal Prev] 2020 Oct; Vol. 146, pp. 105711. Date of Electronic Publication: 2020 Sep 04.
Typ publikacji :
Journal Article; Systematic Review
MeSH Terms :
Accidents, Traffic*
Artificial Intelligence*
Automation*
Automobile Driving*
Big Data*
Research Design*
Safety*
Humans ; Transportation
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
[Applying Big Data in Smart Healthcare].
Autorzy :
Chu KC; PhD, Professor, Department of Information Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taiwan, ROC. .
Xiao MY; MS, Associate Researcher, Department of Information Technology, Taipei City Government, Taiwan, ROC.
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Źródło :
Hu li za zhi The journal of nursing [Hu Li Za Zhi] 2020 Oct; Vol. 67 (5), pp. 19-25.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Big Data*
Biomedical Technology*
Delivery of Health Care/*organization & administration
Humans ; Taiwan
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Big Data, Decision Models, and Public Health.
Autorzy :
Chan CL; Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan.; Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan.
Chang CC; School of Medical Informatics, Chung Shan Medical University & IT Office, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Sep 15; Vol. 17 (18). Date of Electronic Publication: 2020 Sep 15.
Typ publikacji :
Editorial
MeSH Terms :
Big Data*
Clinical Decision-Making*
Data Mining*
Public Health*
Machine Learning
Opinia redakcyjna
Szczegóły
Podgląd okładki
Tytuł :
A new economic loss assessment system for urban severe rainfall and flooding disasters based on big data fusion.
Autorzy :
Guo J; School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China; Collaborative Innovation Center on Climate and Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Wu X; School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China; Collaborative Innovation Center on Climate and Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China. Electronic address: .
Wei G; Department of Mathematics & Computer Science, University of North Carolina at Pembroke, Pembroke, NC, 28372, USA.
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Źródło :
Environmental research [Environ Res] 2020 Sep; Vol. 188, pp. 109822. Date of Electronic Publication: 2020 Jun 24.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Big Data*
Disasters*
Cities ; Floods ; Weather
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint.
Autorzy :
Kardas P; Department of Family Medicine, Medical University of Lodz, Lodz, Poland.
Aguilar-Palacio I; Preventive Medicine and Public Health Department, Zaragoza University, Zaragoza, Spain.; Fundación Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.
Almada M; UCIBIO REQUIMTE, ICBAS, Porto4Ageing - Competences Center on Active and Healthy Ageing, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Cahir C; Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.
Costa E; UCIBIO REQUIMTE, ICBAS, Porto4Ageing - Competences Center on Active and Healthy Ageing, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Giardini A; IT Department, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Malo S; Preventive Medicine and Public Health Department, Zaragoza University, Zaragoza, Spain.; Fundación Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.
Massot Mesquida M; Servei d'Atenció Primària Vallès Occidental, Institut Català de la Salut, Barcelona, Spain.
Menditto E; CIRFF, Center of Pharmacoeconomics, University of Naples Federico II, Naples, Italy.; Department of Pharmacy, University of Naples Federico II, Naples, Italy.
Midão L; UCIBIO REQUIMTE, ICBAS, Porto4Ageing - Competences Center on Active and Healthy Ageing, Faculty of Pharmacy, University of Porto, Porto, Portugal.
Parra-Calderón CL; Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.
Pepiol Salom E; International Commitee, Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain.
Vrijens B; AARDEX Group, Seraing, Belgium.; Liège University, Liège, Belgium.
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Źródło :
Journal of medical Internet research [J Med Internet Res] 2020 Aug 27; Vol. 22 (8), pp. e18150. Date of Electronic Publication: 2020 Aug 27.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Patient Compliance/*statistics & numerical data
Humans ; Retrospective Studies
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework.
Autorzy :
Jia Q; Department of Management, Hohai Business School, Hohai University, Nanjing 211100, China.
Guo Y; The Department of Information System and Management Engineering, Faculty of Business, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, China.
Wang G; Department of Management, Hohai Business School, Hohai University, Nanjing 211100, China.
Barnes SJ; CODA Research Centre, King's Business School, King's College London, Bush House, 30 Aldwych, London WC2B 4BG, UK.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Aug 25; Vol. 17 (17). Date of Electronic Publication: 2020 Aug 25.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Big Data*
Coronavirus Infections*
Data Science*
Pandemics*
Pneumonia, Viral*
Public Health/*methods
Betacoronavirus ; COVID-19 ; Humans ; SARS-CoV-2
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Big Data Analysis of Media Reports Related to COVID-19.
Autorzy :
Jung JH; Department of Business Administration, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 44610, Korea.
Shin JI; Department of Distribution, Gyeongnam National University of Science and Technology, 33 Dongjin-Ro, Jinju, Gyeongnam 52725, Korea.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Aug 06; Vol. 17 (16). Date of Electronic Publication: 2020 Aug 06.
Typ publikacji :
Journal Article
MeSH Terms :
Big Data*
Communications Media/*statistics & numerical data
Coronavirus Infections/*epidemiology
Pneumonia, Viral/*epidemiology
Betacoronavirus ; COVID-19 ; Government ; Humans ; Mass Media/statistics & numerical data ; Pandemics ; SARS-CoV-2 ; Social Media/statistics & numerical data
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 130550

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