10Classification and Diagnosis of Heart Diseases Using Fuzzy Logic Based on IoT
Srinivas Kolli1*, Pramoda Patro2, Rupak Sharma3 and Amit Sharma4
1Department of Information Technology, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Vignana Jyothi Nagar, Pragathi Nagar, Nizampet (S.O.), Hyderabad, Telangana, India
2Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Hyderabad, Telangana, India
3Department of Computer Application, SRM Institute of Science and Technology, NCR Campus, Sikri Kalan, Modinagar, Ghaziabad, India
4Department of Computer Science and Engineering, College of Computing Sciences & IT, Teerthanker Mahaveer University, Moradabad, India
Abstract
The Internet of Medical Things (IoMT) technology improves healthcare system sensor data collection for heart disease diagnosis and prognosis. This research aims to predict cardiovascular disease using medical data and imaging. Two-stage healthcare data classification and prediction are offered. The second stage is unnecessary if the first predicts cardiovascular disease. Echocardiography pictures were categorized to predict heart disease after the initial data classification utilizing patient sensors. The hybrid Faster R-CNN with SE-ResNet-101 model for sensor input and hybrid linear discriminant analysis with modified ant lion optimization (HLDA-MALO) classified echocardiogram pictures. Combining and validating the two categorization techniques yielded cardiovascular ...
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