Author Info
Name
Affiliation
Papers
QING T. ZENG
VA Salt Lake City, UT, USA.
18
Collaborators
Citations 
PageRank 
53
27
6.89
Referers 
Referees 
References 
104
93
24
Search Limit
100104
Title
Citations
PageRank
Year
Shedding Light On The Black Box: Explaining Deep Neural Network Prediction Of Clinical Outcomes00.342021
2018 Salary Survey of AMIA Members - Factors Associated with Higher Salaries.00.342019
Doodle Health: A Crowdsourcing Game for the Co-design and Testing of Pictographs to Reduce Disparities in Healthcare Communication.00.342017
Physician Conception of Patient Frailty in Cardiac Care Decisions.00.342017
Predicting Adverse Outcomes in Heart Failure Patients Using Different Frailty Status Measures.00.342017
Regular Expression-based Learning for METs Value Extraction.00.342016
Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure.00.342016
Ginkgo and Warfarin Interaction in a Large Veterans Administration Population.10.402015
Differences in nationwide cohorts of acupuncture users identified using structured and free text medical records.20.372014
Automatically Enhancing Discharge Instructions with Pictographs to Improve Patient Recall and Satisfaction.00.342014
Crowdsourcing and Development of Health-related Pictographs for Minority Groups by Gaming - A Focus Group Study.00.342014
Development of an Alert System to Detect Drug Interactions with Herbal Supplements using Medical Record Data.00.342014
Recall of Computer-Illustrated Patient Instructions: An Evaluation of the GLYPH System.00.342013
Improving Discharge Instructions: Perspectives from Providers and Patients.00.342013
Personalized Shared Decision Making Model Support via Summary Statistics and Patient Stories.00.342013
Synonym, Topic Model and Predicate-Based Query Expansion for Retrieving Clinical Documents.160.862012
Exploring relations among semantic groups: a comparison of concept co-occurrence in biomedical sources.40.422010
Can multilingual machine translation help make medical record content more comprehensible to patients?40.452010