Kenneth David Mandl, M.D.
Co-Author
This page shows the publications co-authored by Kenneth Mandl and Jeffrey Klann.
Connection Strength
2.181
-
Supporting Multi-sourced Medication Information in i2b2. AMIA Annu Symp Proc. 2015; 2015:747-55.
Score: 0.639
-
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420.
Score: 0.237
-
Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning Approaches. J Am Heart Assoc. 2020 10 20; 9(19):e016648.
Score: 0.224
-
The Ad-Hoc Uncertainty Principle of Patient Privacy. AMIA Jt Summits Transl Sci Proc. 2018; 2017:132-138.
Score: 0.190
-
Data interchange using i2b2. J Am Med Inform Assoc. 2016 09; 23(5):909-15.
Score: 0.162
-
A numerical similarity approach for using retired Current Procedural Terminology (CPT) codes for electronic phenotyping in the Scalable Collaborative Infrastructure for a Learning Health System (SCILHS). BMC Med Inform Decis Mak. 2015 Dec 11; 15:104.
Score: 0.161
-
Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture. J Am Med Inform Assoc. 2014 Jul-Aug; 21(4):615-20.
Score: 0.144
-
International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries. JAMA Netw Open. 2021 06 01; 4(6):e2112596.
Score: 0.059
-
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219.
Score: 0.058
-
International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study. medRxiv. 2021 Feb 05.
Score: 0.057
-
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020; 3:109.
Score: 0.056
-
Validation of an Electronic Health Record-Based Suicide Risk Prediction Modeling Approach Across Multiple Health Care Systems. JAMA Netw Open. 2020 03 02; 3(3):e201262.
Score: 0.054
-
A federated EHR network data completeness tracking system. J Am Med Inform Assoc. 2019 07 01; 26(7):637-645.
Score: 0.051
-
Evolving Research Data Sharing Networks to Clinical App Sharing Networks. AMIA Jt Summits Transl Sci Proc. 2017; 2017:302-307.
Score: 0.045
-
SMART-on-FHIR implemented over i2b2. J Am Med Inform Assoc. 2017 03 01; 24(2):398-402.
Score: 0.044
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.