Search Results for author: Najmeh Sadoughi

Found 8 papers, 0 papers with code

Generalized Zero-shot ICD Coding

no code implementations28 Sep 2019 Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric Xing

The International Classification of Diseases (ICD) is a list of classification codes for the diagnoses.

General Classification Generalized Zero-Shot Learning +3

Medical code prediction with multi-view convolution and description-regularized label-dependent attention

no code implementations5 Nov 2018 Najmeh Sadoughi, Greg P. Finley, James Fone, Vignesh Murali, Maxim Korenevski, Slava Baryshnikov, Nico Axtmann, Mark Miller, David Suendermann-Oeft

A ubiquitous task in processing electronic medical data is the assignment of standardized codes representing diagnoses and/or procedures to free-text documents such as medical reports.

Medical Code Prediction

Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks

no code implementations1 Jun 2018 Najmeh Sadoughi, Carlos Busso

Subjective evaluations show significantly better results for this model compared with the CSG model when the target emotion is happiness.

Human-Computer Interaction

An automated medical scribe for documenting clinical encounters

no code implementations NAACL 2018 Gregory Finley, Erik Edwards, Am Robinson, a, Michael Brenndoerfer, Najmeh Sadoughi, James Fone, Nico Axtmann, Mark Miller, David Suendermann-Oeft

A medical scribe is a clinical professional who charts patient{--}physician encounters in real time, relieving physicians of most of their administrative burden and substantially increasing productivity and job satisfaction.

speaker-diarization Speaker Diarization +3

From dictations to clinical reports using machine translation

no code implementations NAACL 2018 Gregory Finley, Wael Salloum, Najmeh Sadoughi, Erik Edwards, Am Robinson, a, Nico Axtmann, Michael Brenndoerfer, Mark Miller, David Suendermann-Oeft

A typical workflow to document clinical encounters entails dictating a summary, running speech recognition, and post-processing the resulting text into a formatted letter.

Machine Translation Punctuation Restoration +3

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