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This is a Streamlit-based dashboard for analyzing Healthcare Datasets. It allows users to upload one or multiple CSV/XLSX files and provides interactive visualizations for diagnoses, medications, images, referrals, and demographic stratifications.

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Healthcare Data Analysis Dashboard

This is a Streamlit-based dashboard for analyzing Healthcare Datasets. It allows users to upload one or multiple CSV/XLSX files and provides interactive visualizations for diagnoses, medications, images, referrals, and demographic stratifications.


Features

  1. Upload Healthcare Files

    • Supports multiple CSV or Excel files.
    • Automatically merges uploaded files.
  2. Diagnosis Classification

    • Classifies diagnoses as Single or Multiple based on text patterns.
  3. Top Diagnoses Visualization

    • Displays top 20 diagnoses overall.
    • Separately shows top 20 single and multiple diagnoses.
    • Stratifies by patients with or without images.
  4. Images Analysis

    • Shows patients with vs without images.
  5. Medications

    • Splits and counts prescribed medicines.
    • Displays top 20 and complete list of medicines.
  6. Referrals

    • Counts suggested referrals by facility (PHC, DH, SDH).
  7. Visit Date Range

    • Displays date range of visits and total visit count.
  8. Demographic Stratification

    • Gender distribution by month.
    • Age group distribution by month.

Installation

  1. Clone this repository:
https://github.com/KruthikaTS/MedStream-Analytics.git
cd MedStream-Analytics

2. *Create a virtual environment:*
python -m venv venv
On Windows: venv\Scripts\activate

3. *Install dependencies:*
pip install -r requirements.txt

4. *Run the Streamlit app:*
streamlit run app_streamlit.py



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This is a Streamlit-based dashboard for analyzing Healthcare Datasets. It allows users to upload one or multiple CSV/XLSX files and provides interactive visualizations for diagnoses, medications, images, referrals, and demographic stratifications.

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