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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006342

Page Number

14-18

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Title

An Integrated Disease Recommendation Framework for Multi-label Unstructured Data Sources

ISSN

2349-5162

Cite This Article

"An Integrated Disease Recommendation Framework for Multi-label Unstructured Data Sources", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.14-18, June-2020, Available :http://www.jetir.org/papers/JETIR2006342.pdf

Abstract

Usage of strong historical data in electronic health record (EHR), it is an Integrated Disease Recommendation Framework for Multi-label Unstructured Data Sources, a generalized model that covers the conditions that have been observed and medication uses. An Integrated Disease Recommendation Framework is a period model that uses Recurrent Neural Network (RNN) was developed and stamped at longitudinal time to EHR data from 260K patients over 8 years. The patient history to make multi - label forecasts The Framework assesses the patient history yet another label for each diagnosis or prescription type. Based on an assessment of the entire lab test collection, the system will conduct diagnostic differentials with up to 79% recall, substantially above several baselines. They also demonstrate great generalizability of Framework by acclimating the resulting models from one organization to another without losing significant accuracy.

Key Words

Electronic Health Record (EHR), Recurrent Neural Network (RNN)

Cite This Article

"An Integrated Disease Recommendation Framework for Multi-label Unstructured Data Sources", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp14-18, June-2020, Available at : http://www.jetir.org/papers/JETIR2006342.pdf

Publication Details

Published Paper ID: JETIR2006342
Registration ID: 234520
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 14-18
ISSN Number: 2349-5162

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Cite This Article

"An Integrated Disease Recommendation Framework for Multi-label Unstructured Data Sources", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp14-18, June-2020, Available at : http://www.jetir.org/papers/JETIR2006342.pdf




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