AIMC Topic: Hair Color

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Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach.

Computational and mathematical methods in medicine Aug 14, 2021
Alopecia areata is defined as an autoimmune disorder that results in hair loss. The latest worldwide statistics have exhibited that alopecia areata has a prevalence of 1 in 1000 and has an incidence of 2%. Machine learning techniques have demonstrate...
Humans Machine Learning Algorithms Databases, Factual Computational Biology Support Vector Machine Image Interpretation, Computer-Assisted Optical Imaging Hair Alopecia Areata Hair Color
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Evaluation of supervised machine-learning methods for predicting appearance traits from DNA.

Forensic science international. Genetics Mar 23, 2021
The prediction of human externally visible characteristics (EVCs) based solely on DNA information has become an established approach in forensic and anthropological genetics in recent years. While for a large set of EVCs, predictive models have alrea...
Humans Machine Learning Algorithms Phenotype Polymorphism, Single Nucleotide Logistic Models DNA Genetic Markers Datasets as Topic Skin Pigmentation Forensic Genetics Hair Color Eye Color
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