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What is BPNN (Backpropagation Neural Network)

Chapter 3
Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care
BPNN is a type of artificial neural network that uses backpropagation for training, allowing it to learn from errors and improve performance over time.
Published in Chapter:
Mobile Health: Predicting Heart Attack Risk in Diabetic Patients Through Machine Learning
Sima Das (Bengal College of Engineering and Technology, Durgapur, India), Kirti Kumari (Indian Institute of Information Technology, Ranchi, India), and Rabindranath Sahu (Haldia Institute of Technology, India)
Copyright: © 2024 |Pages: 25
DOI: 10.4018/979-8-3693-7462-7.ch003
Abstract
Diabetes and heart disease are common chronic diseases, and a lot of people are suffering from them. Diabetes is caused by insulin secretion disorder. Sometimes it causes death in some complications of heart patients. The current chapter is intended to track diabetes and heart patient conditions, monitoring, and classification. The chapter is designed to predict the two mentioned diseases by diagnosing the patient's previous medical history. An electrocardiogram sensor is used to collect data for heart disease and a continuous glucose monitoring sensor is used to collect data for diabetes disease. A band pass filter in the range between 5-15 Hz is used to filter data, artifact removal is done by stationary wavelet transform, independent component analysis is used for feature extraction.
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