June 2025 in “Jurnal Bumigora Information Technology (BITe)” Naive Bayes algorithm can help predict hair loss risk early.
A new CNN model can detect Alopecia Areata with 98% accuracy.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.