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A Scalable AI Approach for Clinical Trial Cohort Optimization


Sep 07, 2021
Xiong Liu, Cheng Shi, Uday Deore, Yingbo Wang, Myah Tran, Iya Khalil, Murthy Devarakonda

* PharML 2021 (Machine Learning for Pharma and Healthcare Applications) at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021) 

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COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data


Jan 05, 2021
Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan, Rishab Banerjee, Jitesh Pabla, Murthy Devarakonda

* 6 pages, 3 Tables, Appendix 

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Cascade Neural Ensemble for Identifying Scientifically Sound Articles


Apr 13, 2020
Ashwin Karthik Ambalavanan, Murthy Devarakonda

* 11 pages, 4 figures, and 9 tables 

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Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction


Apr 13, 2020
Hong Guan, Jianfu Li, Hua Xu, Murthy Devarakonda

* 10 pages, 1 Figure, 7 Tables 

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Knowledge Guided Named Entity Recognition


Nov 10, 2019
Pratyay Banerjee, Kuntal Kumar Pal, Murthy Devarakonda, Chitta Baral

* work in progress, draft 

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Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings


Jun 27, 2019
Ananya Poddar, Bharath Dandala, Murthy Devarakonda

* 15 pages, 4 Figures, and 4 Tables 

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Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes


Feb 26, 2019
Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy Devarakonda

* 13 pages, paper describing the NLP system built for N2C2 Task 1 2018 shared challenge in biomedical NLP 

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