The main objective of this Diabetes Predictor system is to diagnostically predict whether a patient has diabetes or not based on certain key features like BMI, Blood pressure, and Insulin level in the dataset. In particular, all patients here are females of at least 21 years old of Pima Indian heritage 2.
The Diabetes Predictor is a machine learning project designed to predict the likelihood of an individual having diabetes based on certain input features. Leveraging machine learning algorithms, this tool aims to assist in early detection and proactive management of diabetes.
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Predictive Modeling: The system employs machine learning algorithms to analyze input data and predict the probability of diabetes.
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User-Friendly Interface: A simple and intuitive interface for users to input their health data and receive predictions.
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Data Privacy: Prioritizing user privacy, the system ensures the secure handling of health-related information.
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Input Health Data: Users provide relevant health data such as glucose levels, BMI, blood pressure, etc.
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Prediction: The machine learning model processes the input data and provides a prediction regarding the likelihood of diabetes.
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Result Interpretation: Users receive clear and interpretable results, along with any necessary recommendations or actions.
To use the Diabetes Predictor, follow these steps:
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Clone the Repository:
git clone https://github.com/sanjai-11/Diabetes-Predictor.git
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Install Dependencies:
pip install -r requirements.txt
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Run the Predictor:
python diabetes_predictor.py