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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Bipolar disorder is considered as one of the major mental health disorder by which people are suffered of this illness throughout the world. Various types of machine learning techniques are applied and implemented in order to detect bipolar disorder. Machine learning algorithms were applied not only for detection but also to diagnose, to predict and to provide remedies to many different type of diseases related to mental and physical illness. In this paper, the analysis of various articles where the machine learning algorithms are used in the detection of bipolar disorder. This study has been done with the needy of google search by analysing the terms such as “machine learning” and “bipolar disorder”. These words are highly utilzed to achieve this study.
Keyword
Bipolar disorder, Machine Learning, Detection and Prediction, Diseases.
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