atinak - Overview

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  1. Machine learning classification for motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD

    Jupyter Notebook 1

  2. An AI-powered rare disease diagnosis and prediction system. The goal is to train a machine learning model that predicts rare diseases (OrphaCode) based on symptoms, genetic factors, prevalence and …

    Jupyter Notebook

  3. A Python client for interacting with the ClinicalTrials.gov API v2. This library provides an easy-to-use interface for fetching and analyzing clinical trial data.

    Python 1

  4. A Python package for fetching and processing PubMed articles with comprehensive metadata extraction and MeSH term support.

    Python

  5. A Python package for processing and merging Orphanet XML data files. This package provides tools to extract, transform, and combine data from various Orphanet XML files into a unified dataset.

    Python