Michael N Liebman
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Explore the profile of Michael N Liebman including associated specialties, affiliations and a list of published articles.
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33
Citations
1847
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Recent Articles
11.
Wu X, Marincola F, Liebman M, Wang X
J Transl Med
. 2013 Jan;
11:8.
PMID: 23298286
Translational science consists of research and development that integrates multiple resources to expedite the successful treatment of disease. The International Park of Translational BioMedicine (IPTBM) is currently being developed within...
12.
Liebman M, Molinaro S
J Transl Med
. 2012 Oct;
10:210.
PMID: 23075423
A new section of the Journal of Translational Medicine is being introduced to encourage rapid communication of methods and results that utilize computational modeling and epidemiologic approaches in translational medicine....
13.
QAIT: a quality assurance issue tracking tool to facilitate the improvement of clinical data quality
Zhang Y, Sun W, Gutchell E, Kvecher L, Kohr J, Bekhash A, et al.
Comput Methods Programs Biomed
. 2012 Sep;
109(1):86-91.
PMID: 22985872
In clinical and translational research as well as clinical trial projects, clinical data collection is prone to errors such as missing data, and misinterpretation or inconsistency of the data. A...
14.
Liebman M, Marincola F
J Transl Med
. 2012 Mar;
10:61.
PMID: 22452969
In 2003, the Journal of Translational Medicine was launched to foster the publication of high quality research in both "bench-to-bedside" as well as ex vivo human observation. In spite of...
15.
Hu H, Correll M, Kvecher L, Osmond M, Clark J, Bekhash A, et al.
J Biomed Inform
. 2011 Aug;
44(6):1004-19.
PMID: 21872681
The linkage between the clinical and laboratory research domains is a key issue in translational research. Integration of clinicopathologic data alone is a major task given the number of data...
16.
Rosenkranz M, Wilson D, Marinov A, Decewicz A, Grof-Tisza P, Kirchner D, et al.
Arthritis Rheum
. 2010 Mar;
62(6):1813-23.
PMID: 20222116
Objective: Juvenile idiopathic arthritis (JIA) is a heterogeneous group of inflammatory diseases, and no clinically useful prognostic markers to predict disease outcome in children with JIA are currently available. Synovial...
17.
Yang S, Guo X, Yang Y, Papcunik D, Heckman C, Hooke J, et al.
Cancer Inform
. 2009 May;
2:351-60.
PMID: 19458777
We developed a quality assurance (QA) tool, namely microarray outlier filter (MOF), and have applied it to our microarray datasets for the identification of problematic arrays. Our approach is based...
18.
Zhang Y, Sun W, Gutchell E, Hu H, Liebman M, Shriver C, et al.
AMIA Annu Symp Proc
. 2008 Aug;
:1173.
PMID: 18694269
An online issue tracking (QAIT) system was developed to support the QA of questionnaire-based clinical data and tissue banking in the Clinical Breast Care Project (CBCP). The web-based system provides...
19.
Maskery S, Hu H, Hooke J, Shriver C, Liebman M
J Biomed Inform
. 2008 Feb;
41(2):242-50.
PMID: 18262472
In this paper, we present the validation and verification of a machine-learning based Bayesian network of breast pathology co-occurrence. The present/not present occurrences of 29 common breast pathologies from 1631...
20.
Serretti A, Olgiati P, Liebman M, Hu H, Zhang Y, Zanardi R, et al.
Psychiatry Res
. 2007 Apr;
152(2-3):223-31.
PMID: 17445910
Predicting the outcome of antidepressant treatment by pre-treatment features would be of great usefulness for clinicians as up to 50% of major depressives may not have a satisfactory response in...