BIOENGINEER

CT-Based Machine-Learning Model Predicts Which Children Need Repeat Lung Lavage

A combined CT radiomics and clinical machine-learning model predicted the need for repeat bronchoalveolar lavage in children ...
BIOENGINEER

Machine learning predicts HIV patients at risk of dropping out of antiretroviral care

Random Forest and XGBoost models predicted loss to follow-up among ART patients in Zimbabwe with high internal accuracy, ...

Jev Fever: Predictive AI Is Superhot Again

A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.
udaipurkiran.com

AI Model Identifies Diabetes Risk in Fatty Liver Disease Patients

Researchers have created a machine learning model that identifies patients with non-alcoholic fatty liver disease (NAFLD) at ...
Yale Environment 360

A step toward clinically useful brain-behavior machine learning models

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Production-Level Machine Learning in FinTech: Designing Data Integrity, Model Validation, and Reliable Decision-Making Systems

Machine learning in financial services operates under different constraints than general-purpose prediction systems.In areas ...
techtarget

7 predictive analytics skills to improve simulation modeling

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...
ascopubs.org

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study

Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...
techtarget

What are predictive networks and how do they work?

Predictive networks are intelligent IT network systems that use artificial intelligence (AI), machine learning (ML) and real-time analytics to anticipate and proactively address network issues before ...