eczema

Mechanistic Bayesian Machine Learning model of eczema dynamic

Food and routine online manual for children with allergies and eczema. View the live website here

A Multi-Platform support app for Eczema. Useful for shopping to quickly check what is and is not beneficial for this condition.

Inter-rater reliability analysis of eczema segmentation in digital images

Quantifying imperfect recall in the POEM score

R package providing models to serve as building blocks for predicting eczema severity

Systematic characterization of data-driven research on eczema and atopic dermatitis.

A self-hosted backend system for tracking eczema episodes.

Predicting PO-SCORAD severity score for eczema using EczemaPred

DermaCare_AI is a research-backed dermatology intelligence and educational platform. Built on evidence-based dermatology literature and clinical guidance, it provides skin condition information, skincare assessments, treatment references, emergency recognition tools, and printable reports with privacy-first local processing.

Predicting eczema severity with biomarkers using a Bayesian state-space model

Open eczema flare-risk dataset: daily weather + air-quality driven flare scores for 5,000 US cities. CC-BY. https://eczemazone.app

Prototype notebook that classifies skincare formulas as humectant, emollient, occlusive, or blends—helping sensitive-skin users see past marketing claims.

Relationship and probabilistic stratification of EASI and oSCORAD severity scores for atopic dermatitis

Eczema severity classifier, FastAPI backend, CNN + MobileNetV2 models, Grad-CAM explainability.

Personalised eczema treatment recommendations

AI-powered prototype that recognizes skincare products in real time, classifies formulas by function, and aligns them with personal skin needs—bridging science, design, and everyday experience.

I created CNN model for classifying easily people with eczema(skin disease). I collected training data from google search and train my model with this images.