GitHub

Loan Default Risk Analysis and Prediction

This project involves building a loan default risk prediction model based on credit data. By conducting comprehensive data analysis and modeling on multidimensional borrower characteristics—such as ...
qualitysafety.bmj

Wisdom of patients: predicting the quality of care using aggregated patient feedback

Correspondence to Dr Alex Griffiths, London School of Economics and Political Science, Centre for Analysis of Risk and Regulation, London WC2A 2AE, UK; a.griffiths{at}lse.ac.uk Background The Care ...
BMJ

Development and cross-site validation of machine-learning models for diagnosis and prognosis of stable angina with and without obstructive coronary artery disease: a study protocol

Introduction Angina with no obstructive coronary artery disease (ANOCA) affects millions and is frequently under-recognised because diagnostic pathways and risk tools predominantly target obstructive ...
The Lancet

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study

aDepartment of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany bUniversity Department of Anesthesiology and Intensive Care Medicine, ...
Frontiers

An explainable machine learning framework for sustainable supply chain performance assessment

Linear Regression was used for regression task, and Logistic Regression was used for classification task. These models provide transparent and easy interpretable relation between inputs and outputs.
GitHub

ML-Roadmap-for-2022

A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months - campusx-official/ML-Roadmap-for-2022 ...