Deep learning to estimate lung-related mortality from chest radiographs.

A comparative analysis of 4 ML algorithms. This Hypertension Risk Prediction Model can be described as a machine learning model designed to predict an individual's risk of developing hypertension based on various input parameters.

Wildfire risk assessment using remote sensing data - Prediction of Wildfires

Acute Lung Injury Code for Paper Submitted to AMIA. Experimented with a wide range of ML algorithms to predict the risk of Acute Lung Injury for intensive care unit patients in 24-hour intervals using demographic and clinical observation features.

Prognostic ML-models and key-feature extraction for analysis of cardiovascular complications

multiPGS_py is a fast, simple and low-memory python method to calculate polygenic scores (PGS/PRS)

It is a Capstone project. A model has been created to predict for the heart diseases. It can be very useful for the health sector as cardiovascular diseases are rapidly increasing. The record contains patients' information. It includes over 4,000 records and 15 attributes.

Text Classification on reddit data for eRisk CLEF 2020 on the task of Risk Prediction.

Risk and Predictive Analytics in the Area of Car Insurance Planning and Marketing

SKLEARN-Credit Risk Prediction Using Logistic Regression Model, ML, Confusion Matrix, classification Report

A web app to demonstrate the usage of Wasm-iCARE to calculate the absolute risk of breast cancer.

This repository contains the R code used to produce the manuscript: 'Development and internal validation of a risk-adjustment model for postoperative morbidity in adults undergoing major elective colorectal surgery: the Perioperative Quality Improvement Programme – colorectal risk model'

Risk process simulation of insurance company PL PYTHON

Comparing different strategies to impute missing values before making prediction models

Code for JCMC publication that resulted from UVM B.Sc. thesis work (doi: 10.1007/s10877-022-00908-z).

Credit Risk Prediction of loan applicants’ possibility to default by analyzing 4.999 past borrowers’ behavior and credit history using logistic regression and some other algorithms as comparison.

Code for the paper "Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning", published on ICDM 2021.

This project is created to predict risk credit card loan of a bank using Classification Machine Learning Model

Predicting kidney stone risk using CNNs on genetic data, analyzing 400+ SNPs for precise risk stratification with Polygenic Risk Scores (PRS)

A machine learning-based solution designed to predict metabolic syndrome risk using clinical, demographic, and lifestyle data.