activity
20182020
most citedEvaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

12 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2020

Design Principles Developed through User-Centered and Socio-Technical Methods Improve Clinician Satisfaction, Speed, and Confidence in Pharmacogenomic Clinical Decision Support

Timothy M. Herr, Therese A. Nelson, Luke V. Rasmussen +3

OBJECTIVE: To design and evaluate new pharmacogenomic (PGx) clinical decision support (CDS) alerts, built to adhere to PGx CDS design principles developed through socio-technical a…

cs.CL2019★ 12 cited

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

Prakash Adekkanattu, Guoqian Jiang, Yuan Luo +14

While natural language processing (NLP) of unstructured clinical narratives holds the potential for patient care and clinical research, portability of NLP approaches across multipl…

cs.LG2019★ 5 cited

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang +10

Acute Kidney Injury (AKI) is a common clinical syndrome characterized by the rapid loss of kidney excretory function, which aggravates the clinical severity of other diseases in a…

cs.CL2018

Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms

Yizhen Zhong, Luke Rasmussen, Yu Deng +10

The automatic development of phenotype algorithms from Electronic Health Record data with machine learning (ML) techniques is of great interest given the current practice is very t…

cs.CL2018

Developing a Portable Natural Language Processing Based Phenotyping System

Himanshu Sharma, Chengsheng Mao, Yizhen Zhang +7

This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches. Our system utilizes UMLS to extr…