Heart Disease Prediction App
This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease. This project will utilize a dataset of 303 patients and distributed by the UCI Deep Learning Repository.
keras Sensors medical heart disease
Fetal Health Detection App
Cardiotocography (CTG) is the means of measuring the fetal heart rate, movements and uterine contractions, thus continuously monitoring the health of the mother and child. Deep learning models can be used to detect fetal health in order to prevent child and maternal mortality.
keras Sensors signal medical fetus
Epileptic Seizure Recognition App
A sudden rush of electric activity in the brain is called a seizure. Epilepsy is a chronic neurological disorder causing involuntory, recurrent seizures. Deep learning can be used to detect and monitor seizures in patients and IoT provides an ease of integration with the existing health system and patient wearability.
tinyML keras Sensors EEG signal