*Five Years Citation in Google scholar (2016 - 2020) is. 1451*   *    IJPR IS INDEXED IN ELSEVIER EMBASE & EBSCO *       

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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
ISSN
0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Decision support system for diagnosing disease

Author: S. AMUTHA, S. SANTHI, L. MONICCA
Abstract: Medical institutions keep gathering health data which is highly complex in hospital. The data has to be managed and hence the diagnosis can be offered at right time and the right treatment. In this work a Clinical Decision Support framework is proposed which integrates the patient information. Based on the patient’s healthcare record, the disease is diagnosed. Once the diseases are diagnosed using multi label learning algorithm then the complication of those diseases is considered. Correlation among multi-label algorithm is used to find relationship between the labels and multi-label classification. By using integrated features probabilities of the labels are estimated. Then top n diseases are recommended.
Keyword: Clinical Decision Support System, Multi-Label Classification.
DOI: https://doi.org/10.31838/ijpr/2019.11.01.090
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