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Measurement of hemoglobin C
Known as:
HGBC
, Hemoglobin C
, Hemoglobin C Measurement
The determination of the amount of hemoglobin C present in a sample.
National Institutes of Health
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Related topics
Related topics
4 relations
CDISC SDTM Laboratory Test Terminology by Code
CDISC SDTM Laboratory Test Terminology by Name
Clinical Data Interchange Standards Consortium Terminology
Hemoglobin measurement
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Bladder sparing surgery in high-grade bladder cancer.
P. Yakovlev
,
D. Klyushin
,
R. Vereshchako
Experimental oncology
2019
Corpus ID: 195771453
The gold standard for managing muscle-invasive bladder cancer is radical cystectomy (RCE). The RCE is a treatment, which carries…
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2018
2018
An Efficient Solar Energized Water Pump Using High Gain Boost Converter
A. Mishra
,
Bhim Singh
IEEE Power India International Conference
2018
Corpus ID: 145051768
This paper presents a HGBC (High Gain Boost Converter) integrated with solar PV (Photovoltaic) array for water pumping system…
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2014
2014
predicted from the model and 5-year bladder cancer survival by grade taken from the Statistical Epidemiologic Endpoints Registry
G. Izmirlian
,
Jon Paciorekb
2014
Corpus ID: 207775951
benefit calculation were computed from the PLCO cohort. The choice of threshold risk for eligibility was made by filtering on…
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2013
2013
Predicting Risk of Bladder Cancer Using Clinical and Demographic Information from Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Participants
M. Mir
,
A. Stephenson
,
R. Grubb
,
A. Black
,
A. Kibel
,
G. Izmirlian
Cancer Epidemiology, Biomarkers and Prevention
2013
Corpus ID: 24676978
Background: Effective screening and prevention strategies for bladder cancer require accurate risk stratification models. We…
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2010
2010
Geometric biclustering analysis of DNA microarray data based on hypergraph partitioning
Doris Z. Wang
,
Hong Yan
IEEE International Conference on Bioinformatics…
2010
Corpus ID: 32828578
Biclustering can perform simultaneous pattern classification in both row and column directions in a data matrix and is useful for…
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