Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...
Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...
NVIDIA Corporation maintains a $219 price target and elite profit per employee via its CUDA ecosystem and robotics expansion. Read why NVDA stock is a strong buy.
Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
The Union Budget 2026-27 presented by Finance Minister Nirmala Sitharaman has put university townships at the centre of improvement of the nexus betwe.
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