{"product_id":"primenenie-mashinnogo-obucheniya-dlya-vyyavleniya-zabolevanij-serdca-von-s-ramacharan","title":"PRIMENENIE MAShINNOGO OBUChENIYa DLYa VYYaVLENIYa ZABOLEVANIJ SERDCA","description":"\u003cp\u003eMashinnoe obuchenie w medicine razwiwaetsq kak znachimaq oblast' issledowanij, pozwolqüschaq dawat' prognozy i glubzhe ponimat' medicinskie dannye. Bol'shinstwo metodow mashinnogo obucheniq prqmo ili koswenno zawisqt ot neskol'kih harakteristik, opredelqüschih powedenie algoritma, wliqüschih na wyhod i slozhnost' poluchaemyh modelej. V proshlom mnogie metody mashinnogo obucheniq ispol'zowalis' dlq wyqwleniq serdechno-sosudistyh zabolewanij. Nejronnye seti i logisticheskaq regressiq - odni iz nemnogih populqrnyh metodow mashinnogo obucheniq, ispol'zuemyh w diagnostike serdechno-sosudistyh zabolewanij. Analiziruütsq takie algoritmy, kak mashina opornyh wektorow, K-nearest neighbour, klassifikator Random Forest, a takzhe kombinirowannye podhody, wklüchaüschie wysheupomqnutye algoritmy diagnostiki zabolewanij serdca. Sistema byla realizowana i obuchena na platforme python s ispol'zowaniem modeli mashinnogo obucheniq. Dlq sbora nowyh dannyh frejmwork mozhet byt' rasshiren.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9786206266846\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9786206266846","offer_id":46995758580037,"sku":"9786206266846","price":19.8,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/f9da147d-a589-4d69-8f9f-179648a01ed3.jpg?v=1747897289","url":"https:\/\/shop.autorenwelt.de\/products\/primenenie-mashinnogo-obucheniya-dlya-vyyavleniya-zabolevanij-serdca-von-s-ramacharan","provider":"Autorenwelt Shop","version":"1.0","type":"link"}