Papers by Meghana Gudala
Extracting Adherence Information from Electronic Health Records (2020.coling-main)
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Jordan Sanders, Meghana Gudala, Kathleen Hamilton, Nishtha Prasad, Jordan Stovall, Eduardo Blanco, Jane E Hamilton, Kirk Roberts
| Challenge: | adherence is a critical factor in health outcomes, and is often modeled as a binary decision . adherence models include intentional and unintentional non-adherence, social support and other patient attributes such as age and time since diagnosis. |
| Approach: | They propose to extract adherence information from electronic health records using de-identified sentences and a corpus of 3,000 de-identified sentences. |
| Outcome: | The proposed framework extracts medication adherence information from electronic health records. |
RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports (2022.lrec-1)
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| Challenge: | Question answering (QA) is an intuitive means to query text data. |
| Approach: | They propose a radiology question-answer-evidence-pair dataset with 3074 questions posed against radiology reports and annotated with their corresponding answer spans by physicians. |
| Outcome: | The proposed dataset has 3074 questions posed against radiology reports and annotated with their corresponding answer spans by physicians. |