{"id":2251,"date":"2023-01-31T15:50:44","date_gmt":"2023-01-31T14:50:44","guid":{"rendered":"https:\/\/www.gmds2023.de\/program\/topics\/analytics-in-healthcare\/"},"modified":"2023-01-31T15:50:44","modified_gmt":"2023-01-31T14:50:44","slug":"analytics-in-healthcare","status":"publish","type":"page","link":"https:\/\/www.gmds2023.de\/en\/program\/topics\/analytics-in-healthcare\/","title":{"rendered":"Analyt\u00adics in Healthcare"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.gmds2023.de\/wp-content\/uploads\/2021\/10\/ai.jpg\" alt class=\"wp-image-474\" width=\"200\" height=\"200\" srcset=\"https:\/\/www.gmds2023.de\/wp-content\/uploads\/2021\/10\/ai.jpg 417w, https:\/\/www.gmds2023.de\/wp-content\/uploads\/2021\/10\/ai-300x300.jpg 300w, https:\/\/www.gmds2023.de\/wp-content\/uploads\/2021\/10\/ai-150x150.jpg 150w, https:\/\/www.gmds2023.de\/wp-content\/uploads\/2021\/10\/ai-100x100.jpg 100w\" sizes=\"(max-width: 200px) 100vw, 200px\"><\/figure><\/div>\n<div style=\"height:70px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\"><strong>Analyt\u00adics <\/strong><strong>in Health\u00adcare<\/strong><\/h2>\n\n<p class=\"has-medium-font-size\">In medical care as well as in clin\u00adi\u00adcal and epidemi\u00ado\u00adlog\u00adi\u00adcal research, large amounts of data accu\u00admu\u00adlate that are processed and eval\u00adu\u00adat\u00aded for a wide vari\u00adety of purpos\u00ades. In addi\u00adtion to clas\u00adsi\u00adcal statis\u00adti\u00adcal meth\u00adods, simu\u00adla\u00adtion meth\u00adods and machine learn\u00ading algo\u00adrithms are increas\u00ading\u00adly being used to process the ever-growing volumes of data. Further\u00admore, due to the amount of data, topics from the field of \u201cBig Data\u201d such as data secu\u00adri\u00adty, distrib\u00aduted data manage\u00adment or automa\u00adtion and paral\u00adleliza\u00adtion of the analy\u00adsis pipeline are also becom\u00ading increas\u00ading\u00adly rele\u00advant&nbsp;here.<\/p>\n\n<p class=\"has-medium-font-size\">The GMDS Annu\u00adal Meet\u00ading 2023 will provide a plat\u00adform for the exchange of infor\u00adma\u00adtion between work\u00ading groups dedi\u00adcat\u00aded to these topics. This will also make the latest meth\u00adods and find\u00adings in this field visi\u00adble to all researchers and clin\u00adi\u00adcal users in order to ensure opti\u00admal use of the data for better deci\u00adsion support in diag\u00adnos\u00adtics, ther\u00ada\u00adpy and&nbsp;care.<\/p>\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Analyt\u00adics in Health\u00adcare In medical care as well as in clin\u00adi\u00adcal and epidemi\u00ado\u00adlog\u00adi\u00adcal research, large amounts of data accu\u00admu\u00adlate that are processed and eval\u00adu\u00adat\u00aded for a wide vari\u00adety of purpos\u00ades. In addi\u00adtion to clas\u00adsi\u00adcal statis\u00adti\u00adcal meth\u00adods, simu\u00adla\u00adtion meth\u00adods and machine learn\u00ading algo\u00adrithms are increas\u00ading\u00adly being used to process the ever-growing volumes of data. Further\u00admore,&nbsp;due<\/p>\n<p class=\"margin-top-10\"><a class=\"moretag text-medium\" href=\"https:\/\/www.gmds2023.de\/en\/program\/topics\/analytics-in-healthcare\/\">Weiterlesen<\/a><\/p>\n","protected":false},"author":14,"featured_media":0,"parent":1202,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"wp_typography_post_enhancements_disabled":false,"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/pages\/2251"}],"collection":[{"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/comments?post=2251"}],"version-history":[{"count":1,"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/pages\/2251\/revisions"}],"predecessor-version":[{"id":2252,"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/pages\/2251\/revisions\/2252"}],"up":[{"embeddable":true,"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/pages\/1202"}],"wp:attachment":[{"href":"https:\/\/www.gmds2023.de\/en\/wp-json\/wp\/v2\/media?parent=2251"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}