HCBiLSTM: A hybrid model for predicting heart disease using CNN and BiLSTM algorithms-Reference-Cited by-同舟云学术

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HCBiLSTM: A hybrid model for predicting heart disease using CNN and BiLSTM algorithms

Published:2023-02 Issue: Volume:25 Page:100657
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Shrivastava Prashant Kumar^ORCID,Sharma Mayank,sharma Pooja,Kumar Avenash

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference21 articles.

1. Machine learning-based identification of patients with a cardiovascular defect;Louridi;J. Big Data,2021

2. Heart disease prediction using various algorithms of machine learning;Goel;SSRN Electron. J.,2021

3. Understanding Machine Learning;Shalev-Shwartz,2014

4. The Elements of Statistical Learning;Hastie,2017

5. Heart disease prediction using machine learning;Bharathi;revistageintec,2021

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2. Ensemble Multimodal Disease Risk Prediction: Integrating Chest X-Ray Images and Medical Data with ERSGB-RSW Method;Journal of The Institution of Engineers (India): Series B;2024-08-02

3. Cardiovascular Disease Prediction using Relief-SVM Approach;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

4. Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review;Multimedia Tools and Applications;2024-07-05

5. Processing of clinical notes for efficient diagnosis with feedback attention–based BiLSTM;Medical & Biological Engineering & Computing;2024-05-27

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