September 2025 in “Matics Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)” Random Forest Regression is best for predicting baldness risk.
The model accurately predicts hair loss by analyzing various factors.
5 citations
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July 2019 in “Applied statistics/Journal of the Royal Statistical Society. Series C, Applied statistics” Case-only trees and random forests improve predictions of treatment effects in clinical trials.
2 citations
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September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
The models can help find better inhibitors for conditions like baldness and prostate disorders.