July 2024 in “Vestnik dermatologii i venerologii” Post-COVID-19 hair loss is different from androgenetic alopecia and can be identified by lower copper and higher selenium levels.
5 citations,
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.
January 2011 in “Healthcare Informatics Research” Hair loss is significantly linked to symptoms like dry hair, scalp issues, addiction to tobacco or coffee, anxiety, and digestive problems.
20 citations,
September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
AI-assisted surgical robots improve surgery precision and safety.