Abstract
Bipolar Disorder is one of the critical forms of mental illness in psychiatry and study towards mental illness. Although there are commercial medical practices to cure this Disorder, still there is a significant level of challenges that acts as an impediment for technological advancement to solve it. There is a very less computational model that offers an error-free diagnosis of bipolar Disorder, unlike other disease condition which has groundbreaking research. This paper has discussed the significance of Bipolar Disorder as well as briefed about significant challenges in order to involve technological factors in it. It also briefs about the existing research work being carried out towards identifying this state of illness, followed by a discussion of existing trends of research work in solving this medical condition. Finally, the paper contributes to highlighting the research gap, which should be addressed in order to develop a computational model.
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Yashaswini, K.A., Rao, S. (2020). Bipolar Disorder: A Pathway Towards Research Progress in Identification and Classification. In: Silhavy, R. (eds) Intelligent Algorithms in Software Engineering. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-51965-0_17
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DOI: https://doi.org/10.1007/978-3-030-51965-0_17
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