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Search Data Health , found 14 results

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Automated ML Deployment on Vast.ai GPU Cloud

vastai-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for deploying Machine Learning training jobs and inference services on the Vast.ai GPU cloud. This skill covers the entire deployment lifecycle, including optimizing Docker images for performance, creating automated provisioning scripts using the Vast.ai CLI, implementing robust data transfer strategies (SCP, rsync), and performing post-deployment health checks.

Healthcare AI Toolkit

K-Dense-AI/claude-scientific-skills

PyHealth delivers a full-stack Python toolkit for building, evaluating, and deploying clinical machine learning models, covering EHR datasets, medical coding systems, physiological signals, and healthcare-tailored architectures such as RETAIN, SafeDrug, and Transformer-based pipelines.

Mental Health Analyzer

mental-health-analyzer

sickn33/antigravity-awesome-skills

Analyze mental health data to track mood, anxiety, depression scores, therapy progress, and crisis risk. Supports correlation analysis with sleep, exercise, nutrition, and chronic conditions to generate personalized insights and recommendations.

Sexual Health Analyzer

sexual-health-analyzer

sickn33/antigravity-awesome-skills

Analyze sexual health records, ED severity, STD screening, contraception effectiveness, and sexual activity trends. Useful for generating structured risk reports and linking sexual health data with medication, chronic disease, and lifestyle factors.

Skin Health Analyzer

skin-health-analyzer

sickn33/antigravity-awesome-skills

Analyze skin health trends, assess acne and mole risks, evaluate skincare and sun protection, and generate personalized prevention and care advice. Useful for routine skin monitoring, skin cancer prevention, and cross-analysis with nutrition, chronic disease, and medication data.

Clinical Deep Learning with PyHealth

K-Dense-AI/scientific-agent-skills

Build clinical and healthcare deep learning pipelines with PyHealth: load EHR, signal, and imaging datasets, define prediction tasks, instantiate models, train, and evaluate using a modular five-stage workflow.

Clinical AI Integration Reference Architecture

abridge-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides a comprehensive architectural blueprint for integrating ambient AI solutions (Abridge) into multi-site health systems. It guides the full process from ambient audio capture to structured note generation, covering data flow, component design, FHIR R4 standards, HIPAA compliance, and integration patterns with major EHRs like Epic and Athena.

ML for Health Conference Positioning Guide

machine-learning-for-health

brycewang-stanford/Awesome-Journal-Skills

A comprehensive guide for authors applying machine learning techniques to healthcare. It helps authors frame their research to meet the high standards of top ML4H conferences, covering biomedical data leakage, confounding effects, required evidence standards, and optimal submission strategies.

De-identifying Multilingual Clinical Text

deidentifying-multilingual-text

maziyarpanahi/openmed

This skill de-identifies sensitive PII from clinical notes across numerous languages, including Spanish, German, French, and Arabic. It automatically selects language-specific PII models, national ID regex patterns, and generates locale-aware fake surrogates. Designed for global healthcare datasets, it runs entirely on-device, ensuring maximum privacy and linguistic accuracy for diverse international clinical records.

Extract Social Determinants And Map Codes

extracting-sdoh

maziyarpanahi/openmed

This skill extracts crucial Social Determinants of Health (SDOH) — such as housing instability, food insecurity, and transportation barriers — from unstructured clinical notes. It maps the identified text spans to standardized ICD-10-CM Z-codes (Z55–Z65). It is essential for health-equity analytics, building risk stratification tools, and identifying coding gaps by converting narrative text into queryable, discrete data points.

View Experiment Dashboard and Status

alirezarezvani/claude-skills

This skill displays a comprehensive dashboard for autoresearch experiments, showing results, active loops, and progress. Users can view details for specific experiments or entire domains. It supports exporting data in Markdown or CSV formats for further analysis. Ideal for tracking optimization metrics and experiment health.

AI Health Analysis System

sickn33/agentic-awesome-skills

An AI-driven system that integrates multi-dimensional health data to identify anomalies, assess risks, and generate personalized reports. It supports intelligent Q&A and trend analysis for general health insights, not medical diagnosis.

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