3 citations
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July 2015 in “oURspace (University of Regina)” The method effectively grouped tweets into categories without knowing the number of groups beforehand.
2 citations
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November 2022 in “IP Indian journal of clinical and experimental dermatology” Dermoscopic and histopathological features combined can help diagnose Pityriasis versicolor.
June 2026 in “The Sri Lanka Journal of Dermatology” Hair disorders significantly reduce quality of life.
25 citations
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June 2009 in “British Journal of Dermatology” Early scar classification in lupus can improve treatment and patient outcomes.
August 2014 in “Chinese Journal of Dermatology” Scalp psoriasis in China mostly affects young adults, worsens with stress, and significantly impacts quality of life.
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.
3 citations
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January 2024 in “Annals of Dermatology” The criteria help doctors diagnose and treat alopecia areata more effectively.
July 2007 in “Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature” The BASP classification is a detailed system for categorizing hair loss in both men and women, but it may be complex for beginners and not fully suitable for grading female hair loss.
1 citations
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January 2022 in “International Journal of Health Sciences” Health workers in non-COVID wards had higher depression and anxiety rates.
14 citations
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September 2020 in “Journal of the American Academy of Dermatology” Electrical impedance spectroscopy improves biopsy accuracy and efficiency for skin lesions.
1 citations
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September 2024 in “Chinese Medical Journal” Chinese burn and plastic surgery guidelines need better transparency and evidence quality.
16 citations
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June 2017 in “PLoS ONE” A 6-group hair classification is more reliable for drug testing than an 8-group system.
January 2026 in “Open Science Framework” November 2023 in “Journal of Investigative Dermatology” Higher inflammation markers are linked to more severe alopecia areata.
1 citations
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January 2017 in “Springer eBooks” The document explains how hair loss patterns in men and women, known as Androgenetic alopecia, are classified using the Hamilton-Norwood system for men and the Ludwig grade system for women.
December 2022 in “International Journal of Women's Dermatology” The Sinclair Shedding Scale is effective for diagnosing Alopecia Areata Incognita and monitoring treatment success.
January 2002 in “Dermatology + psychosomatics” 22 citations
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January 1992 in “PubMed” Higher CSF 5-HIAA levels may predict better response to serotonin re-uptake inhibitors in trichotillomania.
September 2015 in “International Society of Hair Restoration Surgery” 11 citations
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August 2016 in “Journal of the European Academy of Dermatology and Venereology” Serial trichoscopy is more reliable than the modified hair pull test for tracking alopecia areata.
Digit ratio likely doesn't predict male hair loss.
April 2023 in “Journal of Investigative Dermatology” New method measures skin cell turnover quickly and effectively, showing turnover slows with age and responds more to treatments in older skin.
May 2024 in “Ordu Üniversitesi Hemşirelik Çalışmaları Dergisi” Satisfaction with appearance boosts self-confidence in surgery patients.
October 2023 in “Dermatology practical & conceptual” Finger length ratios might help predict common hair loss.
April 2024 in “International journal of community medicine and public health/International journall of community medicine and public health” Female pattern hair loss greatly lowers quality of life, especially in young women.
May 2025 in “Archives of Dermatological Research” Patient-reported hair improvements align with actual hair density changes, not hair width.
December 2025 in “International Journal of Cosmetic Science” A new tool helps better assess and treat hair loss in Chinese men.
May 2011 in “Value in Health” No current patient-reported outcome measure fully meets FDA requirements for alopecia treatments.
2 citations
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December 2024 in “PLoS ONE” Hematological ratios can effectively predict and manage alopecia areata severity.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.