{"id":1514,"date":"2020-01-23T08:31:32","date_gmt":"2020-01-23T07:31:32","guid":{"rendered":"https:\/\/factoryzero.it\/sismec_articles\/2020\/01\/23\/ebph-editor-s-choice-from-vol-16-no-4-2019\/"},"modified":"2020-01-23T08:31:32","modified_gmt":"2020-01-23T07:31:32","slug":"ebph-editor-s-choice-from-vol-16-no-4-2019","status":"publish","type":"post","link":"https:\/\/factoryzero.it\/sismec\/ebph-editor-s-choice-from-vol-16-no-4-2019\/","title":{"rendered":"EBPH - Editor's choice from Vol 16, No 4 (2019)"},"content":{"rendered":"<p><span style=\"font-size: 14pt;\">Nel <strong>quarto numero del 2019<\/strong> ti segnaliamo l\u2019Editoriale \u201c<strong><a href=\"https:\/\/ebph.it\/article\/view\/13245\" target=\"_blank\" rel=\"noopener\">Machine learning in clinical and epidemiological research: isn't it time for biostatisticians to work on it?<\/a><\/strong>\u201d, a cura del&nbsp; \u2018Machine Learning in Clinical Research Group\u2019, <strong><a href=\"chi-siamo\/gruppi-di-lavoro\/sismec\/item\/966-machine-learning-nella-ricerca-clinica\" target=\"_blank\" rel=\"noopener\">gruppo di lavoro SISMEC dedicato al Machine Learning<\/a><\/strong>.<br \/><\/span><\/p>\n<p><span style=\"font-size: 14pt;\">Gli autori descrivono i <strong>principali punti di forza<\/strong> e le principali <strong>applicazioni<\/strong> delle <strong>tecniche di machine learning<\/strong>, come quelle nel campo della <strong>medicina personalizzata<\/strong>, in cui queste metodologie sono state applicate per <strong>predire la probabilit\u00e0 che un trattamento sia efficace per ciascun, singolo paziente<\/strong>. Viene inoltre discusso il <strong>dualismo tra i metodi di machine learning e i modelli statistici pi\u00f9 tradizionali<\/strong>, un dualismo solo apparente e decisamente superato.<\/span><\/p>\n<p><span style=\"font-size: 14pt;\">Buona lettura!<\/span><\/p>\n<p><a style=\"font-size: 12pt;\" href=\"http:\/\/ebph.it\/\" target=\"_blank\" rel=\"noopener noreferrer\">LINK alla rivista<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nel quarto numero del 2019 ti segnaliamo l\u2019Editoriale \u201cMachine learning [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"pmpro_default_level":"","footnotes":""},"categories":[31],"tags":[],"class_list":["post-1514","post","type-post","status-publish","format-standard","hentry","category-ebph","pmpro-has-access"],"_links":{"self":[{"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/posts\/1514","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/comments?post=1514"}],"version-history":[{"count":0,"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/posts\/1514\/revisions"}],"wp:attachment":[{"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/media?parent=1514"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/categories?post=1514"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/factoryzero.it\/sismec\/wp-json\/wp\/v2\/tags?post=1514"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}