{"id":303,"date":"2018-07-28T19:17:42","date_gmt":"2018-07-28T22:17:42","guid":{"rendered":"https:\/\/www.erdalbalaban.com\/?p=303"},"modified":"2026-05-17T08:49:47","modified_gmt":"2026-05-17T11:49:47","slug":"yapay-zeka-ve-makine-ogrenmesi-ile-bir-calisma","status":"publish","type":"post","link":"https:\/\/www.erdalbalaban.com\/index.php\/2018\/07\/28\/yapay-zeka-ve-makine-ogrenmesi-ile-bir-calisma\/","title":{"rendered":"Yapay Zeka ve Makine \u00d6\u011frenmesine \u0130li\u015fkin Bir \u00c7al\u0131\u015fma"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Bir\u00e7ok alanda uygulanabilen Yapay Zeka ve Makine \u00d6\u011frenmesini, kalp cerrahisinde uygulanabilirli\u011fini g\u00f6sterdik. Se\u00e7ti\u011fimiz ve kulland\u0131\u011f\u0131m\u0131z karar a\u011fac\u0131 modeli ile amaliyat s\u0131ras\u0131nda veya sonras\u0131nda \u00f6l\u00fcm riskini %98.9 do\u011frulukta \u00f6ng\u00f6rebildik. Bu makalemiz Bilimsel de\u011feri y\u00fcksek olan (SCIE indeksli) T\u00fcrk G\u00f6\u011f\u00fcs, Kalp ve Damar Cerrahisi Dergisi, Temmuz 2018 say\u0131s\u0131nda yay\u0131nland\u0131. T\u0131p\u00e7\u0131lar\u0131n dergisinde t\u0131p\u00e7\u0131 olmayanlar\u0131n makalesinin kabul edilmesinin zor oldu\u011funu d\u00fc\u015f\u00fcn\u00fcrd\u00fcm. Ancak bu \u00e7al\u0131\u015fmay\u0131 de\u011ferli g\u00f6r\u00fcp yay\u0131nlanmas\u0131n\u0131 sa\u011flayan dergi edit\u00f6rleri ve bilim kurulu sayasinde bir\u00e7ok okuyucuya ula\u015fabilecektir. Doktora dan\u0131\u015fmanl\u0131\u011f\u0131n\u0131 yapt\u0131\u011f\u0131m Dr. Elif Kartal\u2019\u0131n tez \u00e7al\u0131\u015fmas\u0131n\u0131n uzant\u0131s\u0131nda haz\u0131rlanan bu makalenin bu alanda \u00e7al\u0131\u015fan \u00e7ok say\u0131da kardiyolog\u2019a ula\u015faca\u011f\u0131n\u0131 d\u00fc\u015f\u00fcnerek yararl\u0131 olaca\u011f\u0131 ve bu konuda \u00e7al\u0131\u015fmalar\u0131n ilerlemesinde \u00f6nemli bir katk\u0131 sa\u011flayaca\u011f\u0131 kanaatindeyim.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c7ok disiplinli \u00e7al\u0131\u015fmalar\u0131n \u00f6n\u00fcn\u00fcn a\u00e7\u0131lmas\u0131 ile \u00f6zellikle t\u0131p ara\u015ft\u0131rmac\u0131lar\u0131n\u0131n analitik \u00e7al\u0131\u015fmalar yapan veri bilimcileri ile \u00e7al\u0131\u015fmas\u0131n\u0131n daha ilerilere ta\u015f\u0131nmas\u0131n\u0131 ve t\u0131p d\u00fcnyas\u0131na yararl\u0131 olmas\u0131n\u0131 diliyorum.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>T\u00fcrk G\u00f6\u011f\u00fcs Kalp Damar Cerrahisi Dergisi<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Ama\u00e7:<\/strong>&nbsp;Bu \u00e7al\u0131\u015fmada ama\u00e7; makine \u00f6\u011frenmesi tekniklerini ve bu tekniklerin veriden \u00f6\u011frenme yetene\u011fini kullanarak kalp ameliyat\u0131 s\u0131ras\u0131nda ya da kalp ameliyat\u0131 ge\u00e7irdikten k\u0131sa bir s\u00fcre sonra hastan\u0131n mortalite riskini \u00f6ng\u00f6rebilmektir.<strong>\u00c7al\u0131\u015fma plan\u0131:<\/strong>&nbsp;Veri seti Ac\u0131badem Maslak Hastanesi\u2019nden temin edildi. European System for Cardiac Operative Risk Evaluation (EuroSCORE) risk fakt\u00f6rleri, mortalite riskini tahmin etmek i\u00e7in kullan\u0131ld\u0131. Hastalar\u0131n 30 g\u00fcnl\u00fck takip bilgileri veri setinde mevcut olmad\u0131\u011f\u0131ndan \u00e7al\u0131\u015fmada ilk olarak Standart EuroSCORE puanlar\u0131 hesapland\u0131 ve risk gruplar\u0131 belirlendi. Modeller; be\u015f farkl\u0131 makine \u00f6\u011frenmesi algoritmas\u0131 ile ya\u015f, serum kreatinin, sol ventrik\u00fcl disfonksiyonu ve pulmoner hipertansiyonun Dataset 1\u2019de say\u0131sal, Dataset 2\u2019de kategorik oldu\u011fu iki farkl\u0131 veri k\u00fcmesiyle olu\u015fturuldu. Model performans de\u011ferlendirmesi, 10-kat \u00e7apraz ge\u00e7erleme ile yap\u0131ld\u0131.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Bulgular:<\/strong>&nbsp;Veri analizi ve performans de\u011ferlendirmesi R, RStudio ve Shiny ile ger\u00e7ekle\u015ftirildi. C4.5 algoritmas\u0131yla Dataset 1 \u00fczerinde kurulan model risk tahmini i\u00e7in en iyi model olarak se\u00e7ildi (do\u011fruluk= 0.989). Bu model; pulmoner hipertansiyon, ge\u00e7irilmi\u015f miyokard enfarkt\u00fcs\u00fc ve torasik aort cerrahisi niteliklerini bir hastan\u0131n mortalite riskini etkileyen ilk \u00fc\u00e7 risk fakt\u00f6r\u00fc oldu\u011funa i\u015faret etmektedir. Ayr\u0131ca, bu model mobil cihazlardan da eri\u015filebilen dinamik bir web uygulamas\u0131 geli\u015ftirmek i\u00e7in kullan\u0131ld\u0131 (<a href=\"https:\/\/web.archive.org\/web\/20250315082337\/https:\/\/elifkartal.shinyapps.io\/euSCR\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/elifkartal.shinyapps.io\/euSCR\/<\/a>).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Sonu\u00e7:<\/strong>&nbsp;Bir hastan\u0131n mortalite riskini \u00f6ng\u00f6rebilmede C4.5 karar a\u011fac\u0131 modeli, kullan\u0131lan veri seti olan Dataset 1\u2019de en iyi performansa sahip bir model oldu\u011fu belirlendi. Risk fakt\u00f6rlerinin say\u0131sal de\u011ferlerini kullanmak, makine \u00f6\u011frenmesi modellerinin performans\u0131n\u0131 art\u0131rmada yararl\u0131 olabilir. Bu \u00e7al\u0131\u015fmadaki uygulamada oldu\u011fu gibi hastaneye \u00f6zg\u00fc veri kullan\u0131larak yerel de\u011ferlendirme sistemlerinin geli\u015ftirilmesi hem hastalar hem de doktorlar i\u00e7in yararl\u0131 olabilecektir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A\u015fa\u011f\u0131daki ba\u011flat\u0131dan makalenin tamam\u0131na eri\u015febilirsiniz:<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bir\u00e7ok alanda uygulanabilen Yapay Zeka ve Makine \u00d6\u011frenmesini, kalp cerrahisinde uygulanabilirli\u011fini g\u00f6sterdik. Se\u00e7ti\u011fimiz ve kulland\u0131\u011f\u0131m\u0131z karar a\u011fac\u0131 modeli ile amaliyat s\u0131ras\u0131nda veya sonras\u0131nda \u00f6l\u00fcm riskini %98.9 do\u011frulukta \u00f6ng\u00f6rebildik. Bu makalemiz Bilimsel de\u011feri y\u00fcksek olan (SCIE indeksli) T\u00fcrk G\u00f6\u011f\u00fcs, Kalp ve Damar Cerrahisi Dergisi, Temmuz 2018 say\u0131s\u0131nda yay\u0131nland\u0131. T\u0131p\u00e7\u0131lar\u0131n dergisinde t\u0131p\u00e7\u0131 olmayanlar\u0131n makalesinin kabul edilmesinin zor [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"saved_in_kubio":false,"footnotes":""},"categories":[17],"tags":[],"class_list":["post-303","post","type-post","status-publish","format-standard","hentry","category-bilisim"],"_links":{"self":[{"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/posts\/303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/comments?post=303"}],"version-history":[{"count":2,"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/posts\/303\/revisions"}],"predecessor-version":[{"id":343,"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/posts\/303\/revisions\/343"}],"wp:attachment":[{"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/media?parent=303"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/categories?post=303"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.erdalbalaban.com\/index.php\/wp-json\/wp\/v2\/tags?post=303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}