The model accurately predicts hair loss by analyzing various factors.
20 citations
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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.
79 citations
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July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
3 citations
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May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.