AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
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 ...
Frontiers

Predicting schizophrenia spectrum disorders in pediatric outpatients: a prospective validation of the child psychosis-risk screening system

This study validated the prognostic ability of the Child Psychosis-risk Screening System (CPSS), an algorithm derived from the widely used Child Behavior Checklist (CBCL), and benchmarked its ...
GitHub

MoustafaSerag/applied-machine-learning-projects-scikit-learn

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
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, ...
GitHub

mukulgangwarcdciv24-dotcom/multi-store-sales-forecasting

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...