Smartphone apps, fitness trackers and wearable devices help people with heart disease get more physical activity in their ...
Artificial intelligence can help predict a patient's risk for conditions such as sepsis, heart disease and cancer. But many ...
A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
Abstract: This Study will explore how the IoT and machine learning predict heart disease risks through real-time wearable device and sensor data. The Cleveland and Hungarian datasets have relevant ...
I am Mubashir Iqbal, a Computer Science professional with a Master’s from COMSATS University Islamabad and a Bachelor’s from Virtual University Pakistan. Currently, I serve as a Lecturer at HITEC ...
Welcome to AI HUB’s new series on “Machine Learning from Scratch”. Here we will include a full Table of contents of Machine Learning from the Scratch tutorial series. Here we will cover all the ...
Few middle-aged and older adults engage in regular leisure-time exercise. Incidental physical activity (IPA) encompasses activities of daily living outside the leisure-time domain. No dose-response ...
The misfolding of amyloid β (Aβ) peptides into an aggregation state is a central hallmark of the onset of Alzheimer’s disease (AD). However, conventional methods are mainly focused on detecting a ...
Associations of “Weekend Warrior” Physical Activity With Incident Disease and Cardiometabolic Health
Achievement of guideline-recommended levels of physical activity (≥150 minutes of moderate-to-vigorous physical activity per week) is associated with lower risk of adverse cardiovascular events and ...
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