Natural Language Processing Methods and Bipolar Disorder: Scoping Review

Journals

1. Pollock Star A, Bachner Y, Cohen B, Haglili O, O'Rourke N. Social Media Use and Well-being With Bipolar Disorder During the COVID-19 Pandemic: Path Analysis. JMIR Formative Research 2022;6(8):e39519 View
2. Loch A, Lopes-Rocha A, Ara A, Gondim J, Cecchi G, Corcoran C, Mota N, Argolo F. Ethical Implications of the Use of Language Analysis Technologies for the Diagnosis and Prediction of Psychiatric Disorders. JMIR Mental Health 2022;9(11):e41014 View
3. Benítez-Andrades J, García-Ordás M, Russo M, Sakor A, Fernandes Rotger L, Vidal M, Kondylakis H, Rao P, Stefanidis K. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web 2023;14(5):873 View
4. Zhu Q, Xiong J, Peng L. College students’ mental health evaluation model based on tensor fusion network with multimodal data during the COVID-19 pandemic. Biotechnology and Genetic Engineering Reviews 2023:1 View
5. Liang Y, Liu L, Ji Y, Huangfu L, Zeng D. Identifying emotional causes of mental disorders from social media for effective intervention. Information Processing & Management 2023;60(4):103407 View
6. Gebremeskel H, Chong F, Heyan H. Unlock Tigrigna NLP: Design and Development of Morphological Analyzer for Tigrigna Verbs Using Hybrid Approach. SSRN Electronic Journal 2023 View

Books/Policy Documents

1. Safa R, Edalatpanah S, Sorourkhah A. Deep Learning in Personalized Healthcare and Decision Support. View