Identifying Early Signs of Bipolar Disorder Risk by Food Habit Analysis in Forensic Using Machine Learning-Reference-Cited by-同舟云学术

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Identifying Early Signs of Bipolar Disorder Risk by Food Habit Analysis in Forensic Using Machine Learning

Published:2024-05-09 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
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Author:

Kumar Mandeep¹,Sirohi Ramesh²,Kaushik Deepa³,Gulhane Monali⁴,Khare Neerav¹,Vats Sharvin⁵

Affiliation:

1. Lloyd Law College,Department of Law,Greater Noida,India

2. Institute of Law, Kurukshetra University,Department of Law,Kurukshetra,India

3. MAIMS Law College,Department of Law,Rohini Sector,Delhi,India

4. Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International, (Deemed University),Department of CSE,Pune,Nagpur,India

5. Delhi High Court,Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593552.pdf?arnumber=10593552

Reference24 articles.

1. Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks

2. Mental disorders and medical comorbidity;Goodell;Robert Wood Johnson Foundation,2011

3. Reconsideration of bipolar disorder as a developmental disorder: Importance of the time of onset

4. The emerging epidemiology of hypomania and bipolar II disorder

5. Lifetime and 12-Month Prevalence of Bipolar Spectrum Disorder in the National Comorbidity Survey Replication

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