R. Joshi, Aditya Raute, A. Yeole, Sanika Sanaye, Bhavika Idnani
{"title":"Machine Learning and Technology in Diagnostic Research: The Case Study of Cognitive Disorders among Toddlers","authors":"R. Joshi, Aditya Raute, A. Yeole, Sanika Sanaye, Bhavika Idnani","doi":"10.2139/ssrn.3561862","DOIUrl":null,"url":null,"abstract":"This study tries to research the use of technology, specifically machine learning, in the diagnosis of cognitive mental disorders in toddlers based on the child’s biological history right from the birth. The study will also present some distinct symptoms for observation, that point to the onset of such disorders and can assist in the assessment for early diagnosis. Solutions to most of those problems can be achieved with proper and dedicated study of the individual as well as the use of progressive technology that can help in the accurate, efficient and early diagnosis of such disorders. Another important aspect this study highlights is the need for awareness about these disorders and the solutions in the society.","PeriodicalId":309208,"journal":{"name":"Developmental Psychology eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Developmental Psychology eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3561862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study tries to research the use of technology, specifically machine learning, in the diagnosis of cognitive mental disorders in toddlers based on the child’s biological history right from the birth. The study will also present some distinct symptoms for observation, that point to the onset of such disorders and can assist in the assessment for early diagnosis. Solutions to most of those problems can be achieved with proper and dedicated study of the individual as well as the use of progressive technology that can help in the accurate, efficient and early diagnosis of such disorders. Another important aspect this study highlights is the need for awareness about these disorders and the solutions in the society.