Predicting if a patient is suffering from Diabetes or not using Machine Learning in Python. Give the repo a star if you found it informative.
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Sep 27, 2019 - Jupyter Notebook
Predicting if a patient is suffering from Diabetes or not using Machine Learning in Python. Give the repo a star if you found it informative.
Diabetes Prediction is my weekend practice project. In this I used KNN Neighbors Classifier to trained model that is used to predict the positive or negative result. Given set of inputs are BMI(Body Mass Index),BP(Blood Pressure),Glucose Level,Insulin Level based on this features it predict whether you have diabetes or not.
The objective of the project is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
Python scikit-learn Machine Learning Examples
Repo which includes the medical data sets used in a feature selection paper proposed by OASYS group
This project uses a Machine learning approach to detect whether the patient has diabetes or not using different machine learning algorithms.
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Build a machine learning model to accurately predict whether or not the patients in the dataset have diabetes or not?
The primary aim of this project is to accurately identify individuals at risk of diabetes based on different features.
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Pima Indians Diabetes Classification with custom Naive Bayes
This project builds a deep learning model to predict diabetes using the PIMA dataset, with data preprocessing, model training, and evaluation using accuracy, AUC, and confusion matrix.
This project focuses on developing a predictive system for analyzing the Pima Indians Diabetes dataset and predicting the likelihood of individuals having diabetes
In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.
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