The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
TheServerSide

DP-100 Practice Tests on Data Scientist Associate Exam Topics

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
IEEE

A WebApp Framework for the prediction of e-GFR value and CKD stage using Regression-based Machine Learning Algorithms

Abstract: Chronic Kidney Disease(CKD) refers to a slow descent in kidney function and has become a serious health concern. Early detection and proper treatment are essential as CKD remains ...
IEEE

Adaptive Learning for Quantum Linear Regression

Abstract: The recent availability of quantum annealers as cloud-based services has enabled new ways to handle machine learning problems, and several relevant algorithms have been adapted to run on ...
C&EN

Machine Learning-Based Excited-State Reactive Force Field: A New Approach for Modeling the Photodissociation Dynamics of 2-Fluorothiophenol

Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130023, China ...