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.