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Use Cases | disease

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Heartbeat Anomaly Detection App Using E.C.G.

According to WHO 17.9 million people die each year due to Cardiovascular Diseases. Deep Learning can be used in early diagnosis using ECG (Electrocardiography).

tinyML keras Sensors signal medical

Published: Oct. 27, 2020, 1:40 p.m.

Arrhythmia Prediction App Using E.C.G.

The use of deep learning models in medical fields can help reduce error rates and increase the possibility of an earlier diagnosis for better treatement.

tinyML keras Sensors signal medical

Published: Oct. 30, 2020, 3:45 p.m.

Parkinson's Disease Detection App

Detecting parkinson's disease in patients using speeech signals.

tinyML audio speech keras Sensors

Published: Oct. 31, 2020, 5:17 p.m.

Brain Tumor Detection App

Nearly 18,000 adults die due to Brain Tumor. It's necessary that we devise a technique for early detection of the brain tumor using deep learning.

vision tinyML keras CNN Sensors

Published: Nov. 3, 2020, 10:15 p.m.

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

Published: Nov. 20, 2020, 4:56 p.m.

Diabetes Prediction App

Diabetes is a serious problem which many people face nowadays and which can lead to other serious health diseases. Deep learning can help to predict the risk of getting diabetic.

tinyML keras Sensors medical disease

Published: Dec. 2, 2020, 12:35 p.m.

Drug Classification App

Training a deep learning model to prescribe a drug based on the patient's data.

keras Sensors medical disease drug

Published: Dec. 23, 2020, 12:45 p.m.

Grape Leaves Disease Detection App

Detects if the grape leave it infected or not

vision keras CNN disease leaf

Published: July 5, 2021, 4:50 p.m.

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

Published: July 14, 2021, 12:35 p.m.

Alzheimer Detection App

Alzheimer Detection using CNN

vision keras CNN Sensors disease

Published: July 14, 2021, 3:05 p.m.

Skin Cancer Detection App

Skin cancer Detection App using CNN.

vision keras CNN medical disease

Published: July 21, 2021, 10:02 p.m.

Disease Classification App

Disease Classification with CNN

vision keras CNN Sensors medical

Published: Aug. 1, 2021, 3:08 p.m.