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Mashinnoe obuchenie ispol'zuetsq wo mnogih oblastqh po wsemu miru. Ne qwlqetsq isklücheniem i otrasl' zdrawoohraneniq. Mashinnoe obuchenie mozhet sygrat' wazhnuü rol' w prognozirowanii nalichiq/otsutstwiq zabolewanij oporno-dwigatel'nogo apparata, serdechno-sosudistyh zabolewanij i t.d. Takaq informaciq, esli ona prognoziruetsq zablagowremenno, mozhet dat' wazhnuü intuiciü wracham, kotorye zatem smogut adaptirowat' swoü diagnostiku i lechenie w zawisimosti ot konkretnogo pacienta. My rabotaem nad prognozirowaniem wozmozhnyh zabolewanij serdca u lüdej s pomosch'ü algoritmow mashinnogo…mehr

Produktbeschreibung
Mashinnoe obuchenie ispol'zuetsq wo mnogih oblastqh po wsemu miru. Ne qwlqetsq isklücheniem i otrasl' zdrawoohraneniq. Mashinnoe obuchenie mozhet sygrat' wazhnuü rol' w prognozirowanii nalichiq/otsutstwiq zabolewanij oporno-dwigatel'nogo apparata, serdechno-sosudistyh zabolewanij i t.d. Takaq informaciq, esli ona prognoziruetsq zablagowremenno, mozhet dat' wazhnuü intuiciü wracham, kotorye zatem smogut adaptirowat' swoü diagnostiku i lechenie w zawisimosti ot konkretnogo pacienta. My rabotaem nad prognozirowaniem wozmozhnyh zabolewanij serdca u lüdej s pomosch'ü algoritmow mashinnogo obucheniq. V dannom proekte my prowodim srawnitel'nyj analiz takih klassifikatorow, kak derewo reshenij, NaïveBayes, logisticheskaq regressiq, SVM i Random Forest, i predlagaem ansamblewyj klassifikator, kotoryj wypolnqet gibridnuü klassifikaciü, ispol'zuq sil'nye i slabye klassifikatory, poskol'ku on mozhet imet' mnozhestwo obrazcow dlq obucheniq i prowerki dannyh.
Autorenporträt
I. Vasantha Kumari, working as an Assistant Professor in  Computer Science and Engineering in Siddhartha Institute of Technology and Science Hyderabad1. She is having 10 years of academic experience. Her area of interest is Machine Learning  and Artificial Intelligence .2. Dr. Anil Kumar Sahu is working as a Professor(ECE) in SITS, Hyderabad.