This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.
A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
Artificial intelligence may help detect subtle warning signs for sudden cardiac death. AI analyzes vast medical data to find ...
These snakes can go for months without eating, grow and shrink the size of their hearts and jump start their metabolism on a ...
Cerebrovascular disease can lead to serious aftereffects if treatment is delayed, but it is difficult to detect before ...
Scientists have uncovered evidence that serotonin, the chemical best known for regulating mood, may also speed the ...
Abstract: The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of ...
SD, standard deviation; IQR, inter-quartile range; ICU, intensive care unit; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; MCV ...
Over the years, the number of people who succumbed to heart ailments has increased significantly worldwide. The World Health Organization claims that about 17 million people die each year due to heart ...
1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...