Bharath Dandala


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Scoring Disease-Medication Associations using Advanced NLP, Machine Learning, and Multiple Content Sources
Bharath Dandala | Murthy Devarakonda | Mihaela Bornea | Christopher Nielson
Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016)

Effective knowledge resources are critical for developing successful clinical decision support systems that alleviate the cognitive load on physicians in patient care. In this paper, we describe two new methods for building a knowledge resource of disease to medication associations. These methods use fundamentally different content and are based on advanced natural language processing and machine learning techniques. One method uses distributional semantics on large medical text, and the other uses data mining on a large number of patient records. The methods are evaluated using 25,379 unique disease-medication pairs extracted from 100 de-identified longitudinal patient records of a large multi-provider hospital system. We measured recall (R), precision (P), and F scores for positive and negative association prediction, along with coverage and accuracy. While individual methods performed well, a combined stacked classifier achieved the best performance, indicating the limitations and unique value of each resource and method. In predicting positive associations, the stacked combination significantly outperformed the baseline (a distant semi-supervised method on large medical text), achieving F scores of 0.75 versus 0.55 on the pairs seen in the patient records, and F scores of 0.69 and 0.35 on unique pairs.


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Multilingual Word Sense Disambiguation Using Wikipedia
Bharath Dandala | Rada Mihalcea | Razvan Bunescu
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Sense Clustering Using Wikipedia
Bharath Dandala | Chris Hokamp | Rada Mihalcea | Razvan Bunescu
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013


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Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia
Bharath Dandala | Rada Mihalcea | Razvan Bunescu
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)