Nature

Machine learning-based predictive models for the occurrence of behavioral and psychological symptoms of dementia: model development and validation

The behavioral and psychological symptoms of dementia (BPSD) are challenging aspects of dementia care. This study used machine learning models to predict the occurrence of BPSD among ...
Nature

Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19

COVID-19 mortality risk stratification tools could improve care, inform accurate and rapid triage decisions, and guide family discussions regarding goals of care. A minority of COVID-19 prognostic ...
ascopubs.org

Development and validation of machine learning model for mortality after curative gastrectomy for gastric cancer.

Precision medicine and multidisciplinary care in gastric and gastroesophageal junction (G/GEJ) cancers: Challenges and practice gaps in community cancer clinics. This is an ASCO Meeting Abstract from ...
Automation World

Validating Automation Machine Learning Models – The Oracle Problem

One of my more aspirational career goals has been to increase the efficiency of validation testing without lowering the quality. Testing of automated systems is essential to ensure quality in both the ...
TechCrunch

AWS launches new SageMaker features to make scaling machine learning easier

At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company’s managed service for building, training and deploying machine learning (ML) models. Swami ...