CAD Patient Classification Using MIMIC-II

Swarnava Dey; Swagata Biswas; Arpan Pal; Arijit Mukherjee; Utpal Garain; Kayapanda Mandana

eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers

Research Article

CAD Patient Classification Using MIMIC-II

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@INPROCEEDINGS{10.1007/978-3-319-49655-9_44,
    author={Swarnava Dey and Swagata Biswas and Arpan Pal and Arijit Mukherjee and Utpal Garain and Kayapanda Mandana},
    title={CAD Patient Classification Using MIMIC-II},
    proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers},
    proceedings_a={EHEALTH360},
    year={2017},
    month={1},
    keywords={Heart rates HRV Wavelet transform SVM ICD-9 PPG Photoplethysmogram CAD Coronary Artery Disease Bigdata},
    doi={10.1007/978-3-319-49655-9_44}
}

Swarnava Dey
Swagata Biswas
Arpan Pal
Arijit Mukherjee
Utpal Garain
Kayapanda Mandana
Year: 2017
CAD Patient Classification Using MIMIC-II
EHEALTH360
Springer
DOI: 10.1007/978-3-319-49655-9_44

Swarnava Dey¹^,*, Swagata Biswas¹^,*, Arpan Pal¹^,*, Arijit Mukherjee¹^,*, Utpal Garain²^,*, Kayapanda Mandana³^,*

1: Tata Consultancy Services Ltd.
2: Indian Statistical Institute
3: Fortis Healthcare Limited

*Contact email: swarnava.dey@tcs.com, swagata.biswas@tcs.com, arpan.pal@tcs.com, mukherjee.arijit@tcs.com, utpal.garain@gmail.com, kmmandana@gmail.com

Abstract

With availability of large volume of collected data from healthcare centers and significant improvement in computation power, evidence based learning is helping in building robust disease diagnostic models.

Keywords: Heart rates HRV Wavelet transform SVM ICD-9 PPG Photoplethysmogram CAD Coronary Artery Disease Bigdata

Published: 2017-01-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-49655-9_44