BIOENGINEER

Machine learning model flags unstable carotid plaques from routine clinical data

A retrospective study of 449 patients found that a LightGBM machine learning model predicted carotid plaque instability with ...
BIOENGINEER

Machine Learning Model for Surgical Complications in Older Adults Faces Methodological Critique

A commentary identifies four methodological flaws, including data leakage and overfitting, in a machine learning model ...

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.
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 ...
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

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 ...

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 ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
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 ...