Murthy Devarakonda

Research Professor, MY

  • 538 Citations
  • 11 h-Index
1985 …2019
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Electronic Health Records Medicine & Life Sciences
UNIX Engineering & Materials Science
Storage management Engineering & Materials Science
Electronic medical equipment Engineering & Materials Science
Industry Engineering & Materials Science
Natural Language Processing Medicine & Life Sciences
Fault tolerance Engineering & Materials Science
Servers Engineering & Materials Science

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Research Output 1985 2019

6 Citations (Scopus)

Adverse Drug Events Detection in Clinical Notes by Jointly Modeling Entities and Relations Using Neural Networks

Dandala, B., Joopudi, V. & Devarakonda, M., Jan 1 2019, (Accepted/In press) In : Drug Safety.

Research output: Contribution to journalArticle

Drug-Related Side Effects and Adverse Reactions
Neural networks
Pharmaceutical Preparations
Long-Term Memory

Legal framework for health cloud: A systematic review

Zandesh, Z., Ghazisaeedi, M., Devarakonda, M. V. & Haghighi, M. S., Dec 2019, In : International Journal of Medical Informatics. 132, 103953.

Research output: Contribution to journalReview article

Computer Security
2 Citations (Scopus)

A convolutional route to abbreviation disambiguation in clinical text

Joopudi, V., Dandala, B. & Devarakonda, M., Oct 1 2018, In : Journal of Biomedical Informatics. 86, p. 71-78 8 p.

Research output: Contribution to journalArticle

Neural networks
Neural Networks (Computer)
Support vector machines
Learning systems
11 Citations (Scopus)
Programming Languages
Electronic Health Records
Artificial Intelligence
Machine Learning
1 Citation (Scopus)

An NLP-based cognitive system for disease status identification in electronic health records

Alemzadeh, H. & Devarakonda, M., Apr 11 2017, 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017. Institute of Electrical and Electronics Engineers Inc., p. 89-92 4 p. 7897212

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Natural Language Processing
Disease control
Cognitive systems
Electronic Health Records
Supervised learning

Projects 2019 2019