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Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions
We study the problem of medical symptoms recognition from patient text, ...
11/12/2020 ∙ by Ali Mottaghi, et al. ∙
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Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures
Understanding a medical conversation between a patient and a physician p...
09/18/2020 ∙ by Anirudh Joshi, et al. ∙
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COVID-19 in differential diagnosis of online symptom assessments
The COVID-19 pandemic has magnified an already existing trend of people ...
08/07/2020 ∙ by Anitha Kannan, et al. ∙
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Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs
People increasingly search online for answers to their medical questions...
08/04/2020 ∙ by Clara H. McCreery, et al. ∙
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The accuracy vs. coverage trade-off in patient-facing diagnosis models
A third of adults in America use the Internet to diagnose medical concer...
12/11/2019 ∙ by Anitha Kannan, et al. ∙
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Classification as Decoder: Trading Flexibility for Control in Medical Dialogue
Generative seq2seq dialogue systems are trained to predict the next word...
11/16/2019 ∙ by Sam Shleifer, et al. ∙
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Domain-Relevant Embeddings for Medical Question Similarity
The rate at which medical questions are asked online significantly excee...
10/09/2019 ∙ by Clara McCreery, et al. ∙
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Open Set Medical Diagnosis
Machine-learned diagnosis models have shown promise as medical aides but...
10/07/2019 ∙ by Viraj Prabhu, et al. ∙
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Classification As Decoder: Trading Flexibility For Control In Neural Dialogue
Generative seq2seq dialogue systems are trained to predict the next word...
10/04/2019 ∙ by Sam Shleifer, et al. ∙
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Prototypical Clustering Networks for Dermatological Disease Diagnosis
We consider the problem of image classification for the purpose of aidin...
11/07/2018 ∙ by Viraj Prabhu, et al. ∙
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Learning from the experts: From expert systems to machine learned diagnosis models
Expert diagnostic support systems have been extensively studied. The pra...
04/21/2018 ∙ by Murali Ravuri, et al. ∙
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