Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
How-To Geek on MSN

7 Python mistakes that make your code slow (and the fixes that matter)

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
BMJ Open

Association between maternal age at childbirth and children’s internalising problems in the USA: a cross-sectional mediation analysis of housing instability and family ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...

Agentic AI's Missing Ingredient: Context-Aware Data

What emerges is a broader issue I see repeatedly in enterprise AI programs: a context gap between what AI systems can ...
CNET

Starlink Is Using Your Personal Data to Train AI. Here’s How to Opt Out

Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” Joe Supan is a senior writer for CNET covering home technology, ...
Hindustan Times

Delhi's 2026 missing cases doesn't show abnormal spike, lower than previous years, shows data

The number of people reported missing in Delhi in January this year was proportionately lower than in previous years, the data shared by the Delhi Police has shown. The missing cases reported in ...
Reuters

India gives 20-year tax holiday to foreign firms using local data centres

NEW DELHI, Feb 1 (Reuters) - India said on Sunday foreign companies using data centres built in the country to provide services to global clients will not face any taxes for doing so for more than 20 ...
Indiatimes

807 missing person cases filed in 15 days

NEW DELHI: In the first 15 days of 2026, Delhi witnessed 807 cases of missing persons, according to police data. The missing individuals included 298 men and 509 women. Among the total reported ...
Hindustan Times

Over 500 women among 800 missing in Delhi in first 15 days of 2026, shows police data

More than 500 women and girls were reported missing in Delhi during the first 15 days of 2026, accounting for nearly two-thirds of all missing cases, according to police data. Of the 807 people ...
Daily Record

Pensioner last seen using walking stick goes missing in early hours

Police are urgently appealing for help to trace a missing pensioner from Broughty Ferry who disappeared in the early hours of Sunday morning. Violet Hogg, 71, was reported missing and was last seen at ...