The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The Southern Maryland Chronicle on MSN

How are QA teams using machine learning to predict test failures in real time?

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Medical Dialogues

AI–Based Model for Early Prediction of Preeclampsia Using First-Trimester Biomarkers — Cureus Study

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...
VRM Intel

European Journal of Tourism Research: Airbnb listings’ performance: determinants and predictive models

The present study analyzes the performance of Airbnb listings in terms of occupancy rate, number of bookings, and revenue, ...
ascopubs.org

Using Machine Learning Models to Predict Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Abbreviations: Carbo or cis, carboplatin or cisplatin; Cyclo, cyclophosphamide; Doxo, doxorubicin; ER, estrogen receptor; Her (per), pertuzumab; Her (TRAS ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...