Myocardial Infraction Diagnosis using k-nearest neighbors algorithm (k-NN).
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Updated
Apr 22, 2022 - Jupyter Notebook
Myocardial Infraction Diagnosis using k-nearest neighbors algorithm (k-NN).
This project aims to predict the presence of heart disease based on various medical attributes of an individual. It utilizes a logistic regression model trained on a dataset containing information about patients and whether they have heart disease or not.
Chronic Kidney Disease Prediction Using ML | Website |
Early detection of Autism Spectrum Disorder (ASD) is crucial for children's development, yet the diagnostic procedure remains challenging. EyeTism employs machine learning on eye tracking data from both high-functioning ASD and typically developing children (TD) to create a diagnostic tool based on their distinct visual attention patterns.
Medical Diagnosis using Contrastive Learning
Code for my Master Thesis project on "Prompting Techniques for Natural Language Generation in the Medical Domain" at the University of Bologna
Clustering Analysis of all available research data on the Iowa Gambling Task(list of sources in readme) using R. The Scripts produce the output for the most common archetypes among the dataset of one researcher using PCA.
A RESTful API using Flask and XGBoost to predict diabetes in Pima Indians based on various diagnostic measurements. Includes training, saving the best model, and testing the API using Python requests.
Bayesian Network aiming to help in endometriosis diagnosis.
Machine Learning Model for predicting Heart Disease
Creating a Model that can diagnose pneumonia with an xray image
Implemented Several ML Techniques for Parkinson’s Detection with Speech Signals- Machine Learning Course Project
In this repository, you'll find Prolog code covering a range of questions, all designed to aid your learning journey.
This Python script fetches and saves data for ICD-10 codes from the World Health Organization (WHO) API. It traverses the entire ICD-10 hierarchy, saving each code's data as a separate JSON file.
Early detection of Autism Spectrum Disorder (ASD) is crucial for children's development, yet the diagnostic procedure remains challenging. EyeTism employs machine learning on eye tracking data from both high-functioning ASD and typically developing children (TD) to create a diagnostic tool based on their distinct visual attention patterns.
A Prolog expert system designed for simple disease diagnosis using backward-chaining and a certainty factor system.
This repository contains a MATLAB project for malaria detection in microscopic images. It includes a MATLAB app and a standalone script that apply a malaria cell prediction algorithm. The project aims to assist in automating the detection of malaria cells, aiding in medical diagnosis and research.
Sage is an intuitive system that uses advanced probability and information theory to refine questions and pinpoint answers. Ideal for enhancing customer service, diagnosing medical conditions, or playing 20 questions, Sage is versatile and adaptable for any set of questions and answers.
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