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

Development and validation of a machine learning-based risk prediction model for post-stroke cognitive impairment

Machine learning (ML) risk prediction models for post-stroke cognitive impairment (PSCI) are still far from optimal. This study aims to generate a reliable predictive model for predicting PSCI in ...
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 ...
DMR News

Pengwei Zhu Highlights the Role of Deep Statistical Machine Learning in Asthma Research and Target Discovery

As artificial intelligence continues to reshape biomedical research, data-driven methods are opening new possibilities for understanding complex inflammatory ...