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Author Details
Full Name
Frank Meng
Affiliation
VA Boston Healthcare System
ORCID
Career Start Year
2004
Papers
15
H Index
6
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
34786452
Rapid implementation of a modular clinical trial informatics solution for COVID-19 research.
Inform Med Unlocked
2021
34786452
Rapid implementation of a modular clinical trial informatics solution for COVID-19 research.
Inform Med Unlocked
2021
33205130
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database.
Patterns (N Y)
2020
33205130
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database.
Patterns (N Y)
2020
31166005
Harnessing the Power of Collaboration and Training Within Clinical Data Science to Generate Real-World Evidence in the Era of Precision Oncology.
Clin Pharmacol Ther
2019
31629530
The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology.
Semin Oncol
2019
31438177
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
Stud Health Technol Inform
2019
31166005
Harnessing the Power of Collaboration and Training Within Clinical Data Science to Generate Real-World Evidence in the Era of Precision Oncology.
Clin Pharmacol Ther
2019
30838639
From Discovery to Practice and Survivorship: Building a National Real-World Data Learning Healthcare Framework for Military and Veteran Cancer Patients.
Clin Pharmacol Ther
2019
31438177
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
Stud Health Technol Inform
2019
31629530
The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology.
Semin Oncol
2019
30838639
From Discovery to Practice and Survivorship: Building a National Real-World Data Learning Healthcare Framework for Military and Veteran Cancer Patients.
Clin Pharmacol Ther
2019
28038345
A Bayesian model for estimating multi-state disease progression.
Comput Biol Med
2017
28038345
A Bayesian model for estimating multi-state disease progression.
Comput Biol Med
2017
27400914
Automatic Classification of Ultrasound Screening Examinations of the Abdominal Aorta.
J Digit Imaging
2016
28714447
Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm.
J Nurs Meas
2016
27400914
Automatic Classification of Ultrasound Screening Examinations of the Abdominal Aorta.
J Digit Imaging
2016
28714447
Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm.
J Nurs Meas
2016
25977405
Automating the generation of lexical patterns for processing free text in clinical documents.
J Am Med Inform Assoc
2015
25977405
Automating the generation of lexical patterns for processing free text in clinical documents.
J Am Med Inform Assoc
2015
22195152
Determining word sequence variation patterns in clinical documents using multiple sequence alignment.
AMIA Annu Symp Proc
2011
22195152
Determining word sequence variation patterns in clinical documents using multiple sequence alignment.
AMIA Annu Symp Proc
2011
18604762
A methodology to integrate clinical data for the efficient assessment of brain-tumor patients.
Inform Health Soc Care
2008
18604762
A methodology to integrate clinical data for the efficient assessment of brain-tumor patients.
Inform Health Soc Care
2008
16043089
Automatic generation of repeated patient information for tailoring clinical notes.
Int J Med Inform
2005
16043089
Automatic generation of repeated patient information for tailoring clinical notes.
Int J Med Inform
2005
16779094
Generating models of surgical procedures using UMLS concepts and multiple sequence alignment.
AMIA Annu Symp Proc
2005
16779094
Generating models of surgical procedures using UMLS concepts and multiple sequence alignment.
AMIA Annu Symp Proc
2005
15360894
Automatic generation of repeated patient information for tailoring clinical notes.
Stud Health Technol Inform
2004
15360894
Automatic generation of repeated patient information for tailoring clinical notes.
Stud Health Technol Inform
2004
1 - 30 of 30
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Collaborators
Craig Morioka
VA Greater Los Angeles Healthcare System
Co-authored papers
4
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University of California Los Angeles
Co-authored papers
4
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Co-authored papers
4
Ricky K Taira
University of California los angeles
Co-authored papers
4
Hooshang Kangarloo
university of california los angeles School of Medicine
Co-authored papers
4
Robert L Grossman
University of Chicago
Co-authored papers
3
Suzie El-Saden
VA Phoenix Healthcare System
Co-authored papers
3
James Sayre
David Geffen School of Medicine at university of california los angeles
Co-authored papers
2
Bernard M Churchill
University of Toronto
Co-authored papers
2
Michael Fitzsimons
Massachusetts General Hospital, Harvard Medical School
Co-authored papers
2
Jerry S H Lee
University of Southern California
Co-authored papers
2
Leonard W D'Avolio
Brigham and Women's Hospital, Harvard Medical School
Co-authored papers
2
Shiwen Shen
University of California los angeles
Co-authored papers
1
Justin Wells
Walter Reed National Military Medical Center
Co-authored papers
1
Sean E Hanlon
Drew University, National Institutes of Health, Rutgers University New Brunswick, University of North Carolina at Chapel Hill
Co-authored papers
1
Mark Meterko
Field-Based At The VA Bedford Healthcare System
Co-authored papers
1
Kangmin Zhu
The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Co-authored papers
1
William Hsu
American Medical Informatics Association, IEEE, Johns Hopkins University, Radiological Society of North America, University of California Los Angeles, University of California, Los Angeles
Co-authored papers
1
Rachel Ramoni
US Department of Veterans Affairs
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1
Craig D Shriver
Walter Reed National Military Medical Center
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1
William Hsu
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Kathleen M Darcy
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