Obesity and Co-Morbidity Detection in Clinical Text Using Deep Learning and Machine Learning Techniques

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

Nowadays medical research plays an important role of community safeguard by finding the solutions to health related problems. An early detection or Co-morbidity Detection of a disease can help both patients and doctors to act and eradicate the root cause or work on preventing further deterioration of the detected disease symptoms. One of the methods to detect the disease is by going through patients' medical history but this is time-consuming manual process which comes with an expense of error-prone analysis. Hence a need to detect the co-morbidity or the existing disease in an automated or semi-automated fashion is become a need of the hour. In this paper we have used machine learning and deep learning techniques on publically available i2b2 clinical datasets to detect the chronic disease status like obesity. Our experiments have shown promising results.

Original languageEnglish
Title of host publicationProceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018
Subtitle of host publicationAPWConCSE 2018
EditorsA B M Shawkat Ali, Shah Miah, Maheswara Rao Valluri
Place of PublicationDanvers, USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages51-56
Number of pages6
ISBN (Electronic)9781728113906
ISBN (Print)9781728113906
DOIs
Publication statusPublished - 10 Dec 2018
Event5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018 - Nadi, Fiji
Duration: 10 Dec 201812 Dec 2018

Publication series

NameProceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018

Conference

Conference5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018
CountryFiji
CityNadi
Period10/12/1812/12/18

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  • Cite this

    Rajput, K., Chetty, G., & Davey, R. (2018). Obesity and Co-Morbidity Detection in Clinical Text Using Deep Learning and Machine Learning Techniques. In A. B. M. S. Ali, S. Miah, & M. Rao Valluri (Eds.), Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018: APWConCSE 2018 (pp. 51-56). [8853828] (Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/apwconcse.2018.00017