Predicting Treatment Response in Bipolar Disorder Using Biomarker Profiles and Machine Learning Models

ISSN Print: 2333-9705
ISSN Online: 2333-9721
www.scirp.net/journal/oalibj
E-mail: [email protected]

Citations

"Predicting Treatment Response in Bipolar Disorder Using Biomarker Profiles and Machine Learning Models"
written by Rocco de Filippis, Abdullah Al Foysal,
published by Open Access Library Journal, Vol.12 No.8, 2025

has been cited by the following article(s):

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[1]	BPM-Net: A Robust Machine Learning Model for Bipolar Disorder Diagnosis 2026 5th International Conference on Innovative Practices in Technology and Management (ICIPTM), 2026 DOI:10.1109/ICIPTM69057.2026.11465782

[2]	Bipolar Prediction Multimodal Network: A Machine Learning Model for Euthymic Bipolar Disorder Disease 2025 5th International Conference on Advancement in Electronics & Communication Engineering (AECE), 2025 DOI:10.1109/AECE67531.2025.11386654