A Low Resource Machine Learning Approach for Prediction of Dressler Syndrome

Author:

Sengupta DigantaORCID,Mondal SubhashORCID,Chatterjee Debosmita,Pradhan Susmita,Sur Pretha

Publisher

Springer Nature Singapore

Reference17 articles.

1. Choudhary P, Dandapat S (2020) An evaluation of machine learning classifiers for detection of myocardial infarction using wavelet entropy and eigenspace features. In: 2020 IEEE applied signal processing conference (ASPCON), pp 222–226

2. Fatimah B, Singh P, Singhal A, Pramanick D (2021) Efficient detection of myocardial infarction from single lead ECG signal. Biomed Signal Process Control 68

3. Dressler’s syndrome. Cleveland Clinic. https://my.clevelandclinic.org/health/diseases/17947-dresslers-syndrome. Accessed 2 May 2019

4. Mayo Clinic. https://www.mayoclinic.org/diseases-conditions/dresslers-syndrome/symptoms-causes/syc-20371811#:~:text=Dressler%20syndrome%20is%20a%20type,surrounding%20the%20heart%20(pericardium

5. Golovenkin, Shulman, Rossiev DA, Shesternya Myocardial infarction complications Data Set. https://archive.ics.uci.edu/ml/datasets/Myocardial+infarction+complications. Accessed 9 Dec 2020

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