Top 5 Predictive Analytics in Healthcare Projects

EUREKA!!!!

No, no. We are not celebrating the Archimedes Principle. Rather, we are celebrating the application of predictive analytics in improving healthcare of human beings. Read this article to know about top 5 most interesting predictive analytics in healthcare projects ideas.

Medical Image Segmentation Deep Learning Project

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But, before we present projects on predictive analytics in public health, let us start with a quick introduction to predictive analytics.

What is Predictive Analytics in Healthcare?

Predictive analytics in healthcare involves using patients’ personal data such as heart rate, blood pressure, etc. to predict their health-status. It helps the patients quickly recover from the disease they are suffering from, in a better way, and helps doctors to prepare customised treatments for treating their illness. Let us now proceed towards the next section that contains a list of project ideas.

Top 5 Predictice Analytics in Healthcare Projects

This section lists five projects on predictive analytics in healthcare using machine learning tools and techniques. If you wish to read about these projects in a PDF, download predictive analytics in healthcare PDF.

1. Predicting Disease by Symptoms’ Analysis

This project aims to predict the disease of a patient by analyzing their symptoms. It shows how machine learning algorithms can be used to identify the disease a patient is suffering from. Four machine learning algorithms: Naive Bayes, Random Forest, Decision Trees, and Gradient Boosting will be used for predictive analytics. The data for this project has been sourced from Kaggle and Columbia University.

GitHub Repository: Disease-Prediction-from-Symptoms by Anuj Dutt 

2. Forecasting Demand of Healthcare Products

Giving the right medicines at the right time to a patient suffering from a disease is crucial for doctors in saving lives. This predictive analytics in healthcare project aims to estimate the demand of healthcare products using predictive analytics. It will guide how to draw various plots and deduce insightful conclusions from then. You will work on a dataset that contains information about sales data history, customers, locations, and products. You will learn how to implement the ARIMA model.

GitHub Repository: Predictive-Analysis-on-Healthcare-Products by A. Rupasree

3. Health Prediction System

This project aims to predict the health status of a patient using facial features. You will learn how to implement feature selection techniques like Principal Component Analysis, Local Binary Pattern, Linear Discriminant Analysis, and Gabor FIlter. The machine learning models- Support Vector Machines (SVM), Random Forest, Neural Network, and K-Nearest Neighbors will be used for deducing predictions.

GitHub Repository: Health Prediction System Using Facial Features

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4. Polyps Detection using Medical Image Segmentation

Polyps are a small group of cells present in the lining of the colon. They are usually harmless but may become lethal if they transform into cancer cells. In this project, the goal is to implement the Unet++ model on the data sourced from colonoscopy videos for detecting the presence of polyps in the colon.

Source Code: Medical Image Segmentation Deep Learning Project

5. Analyzing Heart-Health

Heart diseases are one of the prime reasons behind the loss of individuals. In this project, the goal is to predict the health status of an individual’s heart using attributes such as age, sex, etc. The sample dataset contains 14 feature columns and 303 rows and contains categorical and continuous data. This project will solution will guide you on how to handle missing values and use machine learning algorithms like SVM, Random Forest, Decision Trees, and Logistic Regression for predictive analytics.

GitHub Repository: Heart Health Prediction by Sayeed Amar Mehmood

Why stop here when you can learn more? The predictive analytics-based solutions span various industries and if you are curious about them, visit ProjectPro’s repository of solved projects in data science and big data.

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Manika

Manika Nagpal is a versatile professional with a strong background in both Physics and Data Science. As a Senior Analyst at ProjectPro, she leverages her expertise in data science and writing to create engaging and insightful blogs that help businesses and individuals stay up-to-date with the

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