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https://github.com/prashantkumar7541/doctor-visit-insights

Doctor Visit Data Analysis
https://github.com/prashantkumar7541/doctor-visit-insights

data-analytics doctor-visit-analysis jupyter-notebook python

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Doctor Visit Data Analysis

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# Doctor Visit Insights

**Doctor Visit Insights** is a data analysis project aimed at extracting meaningful insights from healthcare data related to doctor visits. This project leverages **machine learning**, **data visualization**, and **statistical analysis** to analyze patterns in patient visits, predict healthcare outcomes, and optimize healthcare management. The project includes data on patient demographics, diagnosis, treatment plans, and visit history.

## Features

- **Data Exploration**: Explore and analyze doctor visit data to identify key patterns, trends, and anomalies.
- **Predictive Modeling**: Build machine learning models to predict outcomes such as the likelihood of a follow-up visit or the prediction of healthcare conditions based on demographics and visit history.
- **Diagnosis Frequency**: Identify the most common diagnoses and trends across various patient groups.
- **Data Visualization**: Visualize trends, patterns, and correlations in the doctor visit data using graphs, charts, and heatmaps.
- **Healthcare Insights**: Provide actionable insights to improve patient care, hospital management, and operational efficiency.

## Installation

To run the Doctor Visit Insights project locally, follow these steps to set up the project.

### Prerequisites

Ensure you have the following installed:

- **Python 3.x**: A Python environment to run the project.
- **Git**: To clone the repository.

### Steps to Install

1. **Clone the repository**:

First, clone the repository to your local machine:

```bash
git clone https://github.com/prashantkumar7541/Doctor-Visit-Insights.git