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10.3390/ijerph17186723 http://scihub22266oqcxt.onion/10.3390/ijerph17186723 32942728!7558933!32942728     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32942728&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Int+J+Environ+Res+Public+Health 2020 ; 17 (18): ? Nephropedia Template TP {{tp|p=32942728|t=2020. Big Data, Decision Models, and Public Health |pdf=|usr=}}{{32942728}} gab.com Text Big Data, Decision Models, and Public Health JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32942728 #FOAvip Unlike most daily decisions, medical decision making often has substantial consequences and trade-offs. Recently, big data analytics techniques such as statistical analysis, data mining, machine learning and deep learning can be applied to construct innovative decision models. With complex decision making, it can be difficult to comprehend and compare the benefits and risks of all available options to make a decision. For these reasons, this Special Issue focuses on the use of big data analytics and forms of public health decision making based on the decision model, spanning from theory to practice. A total of 64 submissions were carefully blind peer reviewed by at least two referees and, finally, 23 papers were selected for this Special Issue. Twit Text FOAVip Big Data, Decision Models, and Public Health ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32942728 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32942728 #FOAvip English Wikipedia <ref>{{Cite pmid|32942728}}</ref> Big Data, Decision Models, and Public Health #MMPMID32942728 Chan CL; Chang CC Int J Environ Res Public Health 2020[Sep]; 17 (18): ? PMID32942728show ga Unlike most daily decisions, medical decision making often has substantial consequences and trade-offs. Recently, big data analytics techniques such as statistical analysis, data mining, machine learning and deep learning can be applied to construct innovative decision models. With complex decision making, it can be difficult to comprehend and compare the benefits and risks of all available options to make a decision. For these reasons, this Special Issue focuses on the use of big data analytics and forms of public health decision making based on the decision model, spanning from theory to practice. A total of 64 submissions were carefully blind peer reviewed by at least two referees and, finally, 23 papers were selected for this Special Issue. |*Big Data[MESH] |*Clinical Decision-Making[MESH] |*Data Mining[MESH] |*Public Health[MESH]Big Data, Decision Models, and Public Health (epmc).pdf DeepDyve Pubget Overpricing