Healthcare-NoShow-Prediction

Healthcare No-Show Prediction

Overview

This project analyzes hospital appointment no-shows and builds a machine learning model to predict whether a patient will miss an appointment.

The project includes:

Power BI Dashboard (Data Analysis)

Decision Tree Prediction Model (Python)

Feature Importance Visualization

Dashboard Insights

The dashboard analyzes:

Total Appointments

Total No-Shows

No-Show Rate (%)

No-Show by Gender

No-Show by Risk Level

No-Show by SMS Reminder

No-Show Trend by Waiting Days

Dashboard Preview

Machine Learning Model

Model Used: Decision Tree Classifier

Features:

Age

SMS_received

Scholarship

Hipertension

Diabetes

Alcoholism

Handcap

Accuracy: ~63%

Tools Used

Python

Pandas

Scikit-Learn

Matplotlib

Power BI