1 citations
,
September 2004 in “Physica D: Nonlinear Phenomena” The model can predict website market shares by identifying competition among them.
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.
Machine learning can improve early and accurate detection of PCOS.
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.
8 citations
,
December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
5 citations
,
May 2018 in “Statistics in Medicine” Model improves accuracy in predicting hair loss effects.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
109 citations
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January 2011 in “Frontiers in Systems Neuroscience” Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
37 citations
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October 2015 in “European Journal of Human Genetics” Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
2 citations
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April 2013 in “Expert Review of Endocrinology & Metabolism” Identifying nonclassic congenital adrenal hyperplasia and carriers of CYP21 mutations is challenging, and genetic counseling is recommended due to their prevalence.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
3 citations
,
November 2019 in “The American Journal of Dermatopathology” Widened sweat ducts are a very specific sign of scarring hair loss.
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.
167 citations
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January 2006 in “Gynecological Endocrinology” Women with PCOS have lower quality of life, especially in mental health and energy, and managing weight can help improve it.
24 citations
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October 1995 in “The Journal of clinical endocrinology and metabolism/Journal of clinical endocrinology & metabolism” The nafarelin test can reliably distinguish between gonadotropin deficiency and delayed puberty in teenage boys.
5 citations
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January 1998 in “Clinical and experimental dermatology” Myotonic dystrophy should be considered in patients with hair thinning, and genetic counseling is important.
2 citations
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April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
34 citations
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January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
5 citations
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March 2022 in “Clinical Cosmetic and Investigational Dermatology” The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
1 citations
,
May 2018 in “Psychology, Health & Medicine” The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
43 citations
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May 1978 in “JAMA” Minoxidil controls blood pressure but may cause kidney damage and needs diuretics to prevent swelling.
34 citations
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September 2009 in “International Journal of Dermatology” Using anabolic-androgenic steroids can cause skin problems like acne and hair loss in athletes.
34 citations
,
June 2007 in “The Journal of Dermatology” Most Korean systemic lupus erythematosus patients experienced hair loss, often as non-scarring diffuse hair loss, with non-scarring patch alopecia also common.
33 citations
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May 1991 in “British Journal of Pharmacology” Cromakalim relaxes various blood vessels, while minoxidil sulphate is more selective; they likely act on different potassium channels.
8 citations
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July 2013 in “PLoS ONE” DNA can be quickly and effectively extracted from hair using laundry powder.