research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
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30 / 1000+ resultsresearch Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research Diagnosis of childhood and adolescent growth hormone deficiency using transcriptomic data
Childhood growth hormone deficiency can be accurately diagnosed using gene expression data and random forest analysis.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Comparison of the effectivity of different snare types for collecting and retaining hair from Eurasian Lynx (Lynx lynx)
Wire brush snares are best for collecting Eurasian Lynx hair for DNA analysis.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research BMP2 and BMP7 play antagonistic roles in feather induction
BMP2 and BMP7 have opposite roles in feather formation.
research Viewpoint 4
Skin patterns form through molecular signals and genetic factors, affecting healing and dermatology.
research Analysis of Genetic Diversity and Construction of a Core Collection of Ginkgo biloba Germplasm Using EST-SSR Markers
Ginkgo biloba has high genetic diversity, useful for future breeding.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research Abstracts
Young HS patients often have other physical and mental health issues, and research on HS covers a wide range of topics including genetics, triggers, treatments, and the need for more data.
research Pharmacological Activity and Clinical Use of PDRN
PDRN helps repair tissue and improve wound healing with a high safety profile.
research Gene Expression in Rat Dermal Papilla Cells: Analysis of 2529 ESTs
Rat dermal papilla cells have unique genes crucial for hair growth.
research Edible oil-producing plants in the Sinja Valley, Jumla, Nepal
Traditional knowledge of edible oil-producing plants in Sinja Valley is declining due to outmigration and sociocultural changes.
research The impact of hair care practices and attitudes toward hair management on exercise habits in African American women
Hair care practices and concerns about maintaining hairstyles can reduce how often African American women exercise.
research Plant elicitor Peptides regulate root hair development in Arabidopsis
Peps help Arabidopsis plants grow more root hairs by affecting specific genes and calcium signaling.
research Down-Stream molecular Responses to Volatile Signaling in Roots
Plant roots respond to fungus smells by possibly using certain proteins and a plant hormone to change root growth, but more research is needed.