诊断研究中的机器学习和技术:幼儿认知障碍的案例研究

R. Joshi, Aditya Raute, A. Yeole, Sanika Sanaye, Bhavika Idnani
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引用次数: 0

摘要

这项研究试图研究技术的使用,特别是机器学习,在基于孩子出生时的生物历史的基础上诊断幼儿的认知精神障碍。该研究还将提出一些独特的症状供观察,这些症状表明这些疾病的发病,并有助于早期诊断的评估。通过对个体进行适当和专门的研究,以及使用有助于准确、有效和早期诊断此类疾病的先进技术,大多数这些问题的解决方案都可以实现。这项研究强调的另一个重要方面是需要在社会上认识到这些疾病和解决办法。
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Machine Learning and Technology in Diagnostic Research: The Case Study of Cognitive Disorders among Toddlers
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.
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