BIOENGINEER

Quantum Machine Learning Edge Emerges in Predicting ICU Mortality From Electronic Health Records

A hybrid quantum-classical model outperformed XGBoost and other classical baselines in predicting ICU mortality across nearly ...
BIOENGINEER

Machine Learning Model Predicts Invasive Pulmonary Aspergillosis Risk in ICU Patients

Invasive pulmonary aspergillosis, a devastating fungal infection once considered almost exclusively a threat to patients with ...
ascopubs.org

Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
Medical Xpress

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
News-Medical.Net

Machine learning models predict pathogen risk in drinking water

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...
Neurology Advisor

Sex-Specific Machine Learning Models Predict 10-Year Dementia Risk

Machine learning models utilizing cardiovascular and lifestyle factors can accurately predict the 10-year risk of dementia in both men and women.
PsyPost on MSN

Machine learning uncovers early warning signs of depression in brain scans

A new computational model combined with brain imaging data reveals that relying too heavily on prior expectations when ...
ascopubs.org

Predicting recurrence and survival in hormone receptor–positive (HR+)/HER2-negative (HER2–) early breast cancer (EBC) with machine learning models: Optimization of model ...

Association of the 70-gene assay and homologous recombination deficiency in patients with high risk 2 breast cancers. Model performance by outcome and number of variables. a Concordance index; scores ...

The belief that 'features with high variance are important' is a mistake. The real factors that determine machine learning model accuracy

Even if you explain 99% of the variance with PCA, your prediction accuracy might not improve by even 0.1%. This is one of the greatest tricks in statistics. Variance and predictive power are not as ...

Indian-origin sixth-grader trains machine-learning model to spot lithium deposits with 89% accuracy

Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine learning. His project reached 89% accuracy in predicting potential lithium ...