Classifying Bipolar Personality Disorder (BPD) Using Long Short-Term Memory (LSTM)-Reference-Cited by-同舟云学术

Classifying Bipolar Personality Disorder (BPD) Using Long Short-Term Memory (LSTM)

Published:2020-08-01 Issue: Volume: Page:169-176
ISSN:2367-3370
Container-title:Data Science and Security
language:
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Author:

Ghosh Sreyan,Pahuja Kunj,Jiji Joshua Mammen,Puthussery Antony,Shukla Samiksha,Unal Aynur

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5309-7_17

Reference11 articles.

1. Arribas IP, Saunders K, Goodwin G, Lyons T (2017) A signature based machine learning model for bipolar disorder and borderline personality disorder. arXiv:1707.07124

2. https://www.nimh.nih.gov/health/statistics/personality-disorders.shtml

3. The Economic Times. https://economictimes.indiatimes.com/magazines/panache/world-mental-health-day-nearly-half-of-india-inc-employees-suffer-from-depression/articleshow/66119215.cms

4. Gao S, Calhoun VD, Sui J (2018) Machine learning in major depression: from classification to treatment outcome prediction

5. Erguzel TT, Sayar GH, Tarhan N (2016) Artificial intelligence approach to classify unipolar and bipolar depressive disorders

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