Heart Disease Prediction Using Supervised Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3982-4_33
Reference10 articles.
1. Anand Kumar M, Abirami N, Guru Prasad MS, Mohankumar M (2022) Stroke disease prediction based on ECG signals using deep learning techniques. In: 2022 International conference on computational intelligence and sustainable engineering solutions (CISES), Greater Noida, India, pp 453–458
2. Tabassum T, Islam M (2016) An approach of cardiac disease prediction by analyzing ECG signal. In: 2016 3rd International conference on electrical engineering and information communication technology (ICEEICT), Dhaka, Bangladesh, pp 1–5
3. Tithi SR, Aktar A, Aleem F, Chakrabarty A (2019) ECG data analysis and heart disease prediction using machine learning algorithms. In: 2019 IEEE Region 10 symposium (TENSYMP), Kolkata, India, pp 819–824
4. Poonja HA, Soleman Ali Shah M, Shirazi MA, Uddin R (2021) Evaluation of ECG based recognition of cardiac abnormalities using machine learning and deep learning. In: 2021 International conference on robotics and automation in industry (ICRAI), Rawalpindi, Pakistan, pp 1–4
5. Saikhu A, Hudiyanti CV, Wijaya AY (2021) Input feature selection in ECG signal data modelling using long short term memory. In: 2021 4th International seminar on research of information technology and intelligent systems (ISRITI), Yogyakarta, Indonesia, pp 229–234
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