Integrating usability testing and think-aloud protocol analysis with "near-live" clinical simulations in evaluating clinical decision support. - Alice C. Li; Joseph L. Kannry; André Kushniruk; Dillon Chrimes; Thomas G. McGinn; Daniel Edonyabo; Devin M. Mann (Int. J. Medical Informatics, 2012)

Usability testing of Avoiding Diabetes Thru Action Plan Targeting (ADAPT) decision support for integrating care-based counseling of pre-diabetes in an electronic health record. - Dillon Chrimes; Nicole R. Kitos; André Kushniruk; Devin M. Mann (Int. J. Medical Informatics, 2014)

Design and Construction of a Big Data Analytics Framework for Health Applications. - Mu-Hsing Kuo; Dillon Chrimes; Belaid Moa; Wei Hu 007 (SmartCity, 2015)

Interactive Healthcare Big Data Analytics Platform under Simulated Performance. - Dillon Chrimes; Belaid Moa; Hamid Zamani; Mu-Hsing Kuo (DASC/PiCom/DataCom/CyberSciTech, 2016)

Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services. - Dillon Chrimes; Hamid Zamani (Comput. Math. Methods Medicine, 2017)

Towards a real-time big data analytics platform for health applications. - Dillon Chrimes; Mu-Hsing Kuo; Belaid Moa; Wei Hu 007 (Int. J. Big Data Intell., 2017)

A Hadoop/MapReduce Based Platform for Supporting Health Big Data Analytics. - Alex Kuo; Dillon Chrimes; Pinle Qin; Hamid Zamani (ITCH, 2019)

Big data analytics of predicting annual US Medicare billing claims with health services. - Dillon Chrimes (IEEE Big Data, 2022)

Review of Publically Available Health Big Data Sets. - Dillon Chrimes; Chanhee Kim (IEEE Big Data, 2022)

Text mining using clinical terms in electronic records of annual falls of patients in home community care. - Dillon Chrimes; Emile Keruzore (IEEE Big Data, 2023)

Comparison of MIMIC-III and MIMIC-IV for big data analytics of health informatics. - Dillon Chrimes; Chanhee Kim (IEEE Big Data, 2023)

Big data usability text mining of publicly available YouTube electronic health record (EHR) tutorials. - Dillon Chrimes; Ivan Tang (IEEE Big Data, 2023)

Big data analytic of US Medicare Claims of healthcare service informatics and billing fraud. - Maya El-Lanky; Dillon Chrimes (IEEE Big Data, 2024)