{"title":"SVM在重度抑郁症诊断中的应用","authors":"A. Ansari, M. Khalili","doi":"10.14419/JACST.V4I1.3994","DOIUrl":null,"url":null,"abstract":"artificial neural networks are used extensively in diagnosis are used and the system is able to detect a variety of conditions used in this study for diagnosis of major depressive disorder, 45 parameters were considered Implementation and operation using SVM model the use of different network error checked Education.","PeriodicalId":445404,"journal":{"name":"Journal of Advanced Computer Science and Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using of SVM for diagnosis of major depressive disorder\",\"authors\":\"A. Ansari, M. Khalili\",\"doi\":\"10.14419/JACST.V4I1.3994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"artificial neural networks are used extensively in diagnosis are used and the system is able to detect a variety of conditions used in this study for diagnosis of major depressive disorder, 45 parameters were considered Implementation and operation using SVM model the use of different network error checked Education.\",\"PeriodicalId\":445404,\"journal\":{\"name\":\"Journal of Advanced Computer Science and Technology\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advanced Computer Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14419/JACST.V4I1.3994\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Computer Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14419/JACST.V4I1.3994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using of SVM for diagnosis of major depressive disorder
artificial neural networks are used extensively in diagnosis are used and the system is able to detect a variety of conditions used in this study for diagnosis of major depressive disorder, 45 parameters were considered Implementation and operation using SVM model the use of different network error checked Education.
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