IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

A Survey on Methods That Restrict the Consistency in Online Health Seeker - Clinician Intercourse


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International Journal for Innovative Research in Science & Technology
Volume 2 Issue - 6
Year of Publication : 2015
Authors : R. Meena Gomathi ; Dr. S. Miruna Joe Amali

BibTeX:

@article{IJIRSTV2I6010,
     title={A Survey on Methods That Restrict the Consistency in Online Health Seeker - Clinician Intercourse},
     author={R. Meena Gomathi and Dr. S. Miruna Joe Amali},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={6},
     pages={13--16},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I6010.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Online wellness programs have been assisting well-being condition monitoring, illness modelling and validation OF grounded medical treatment by medical text mining. There exists a discernible gap in community based health forums between the online health seekers and providers. A cavernous learning structure is used to infer the diseases given the queries of health seekers. This scheme has two key components. The first globally mines the discriminant medical signatures from raw features. The second estimates the raw features and their signatures as input nodes in one layer and hidden nodes in the subsequent layer. The inter-relations between these two layers are found. All-encompassing trials on a real-world dataset labelled by online doctors show the noteworthy performance gains.


Keywords:

Online wellness program, Signatures, Medical Text Mining
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