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- Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Prediction of Alopecia Areata using CNN
- Pre-trained classification of scalp conditions using image processing
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- Estimating Scalp Moisture in a Hat Using Wearable Sensors
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
- A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
- An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
- HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
- Identification of Various Deficiencies Using Data Mining Techniques - A Survey
- Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
- Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- A machine learning and network framework to discover new indications for small molecules
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
- Delivery of Tissue-Targeted Scalpels: Opportunities and Challenges for <i>In Vivo</i> CRISPR/Cas-Based Genome Editing
- ESGCT and FSGT Collaborative Congress Helsinki, Finland September 17–20, 2015 Abstracts
- Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
- Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation