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James Weatherall

Showing results (11-20 of 28) with videos related to

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Studies in Health Technology and Informatics|April 21, 2017
Disentangling Prognostic and Predictive Biomarkers Through Mutual InformationKonstantinos Sechidis, Emily Turner, Paul Metcalfe, et al.
International Journal of Clinical Practice|December 29, 2017
Association of postprandial and fasting plasma glucose with HbA1c across the spectrum of glycaemic impairment in type 2 diabetesPaul Valensi, Lise Lotte N Husemoen, James Weatherall, et al.
Journal of Medical Economics|September 26, 2017
Insulin degludec versus insulin glargine U100 for patients with type 1 or type 2 diabetes in the US: a budget impact analysis with rebate tablesWendy S Lane, James Weatherall, Jens Gundgaard, et al.
Studies in Health Technology and Informatics|August 8, 2013
Taming EHR data: using semantic similarity to reduce dimensionalityLeila Kalankesh, James Weatherall, Thamer Ba-Dhfari, et al.
JMIR Mhealth and Uhealth|June 7, 2018
Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported OutcomesJames Weatherall, Yurek Paprocki, Theresa M Meyer, et al.
Journal of Medical Economics|January 31, 2019
A systematic literature review identifying associations between outcomes and quality of life (QoL) or healthcare resource utilization (HCRU) in schizophreniaNicola Germain, Steven Kymes, Elin Löf, et al.
Current Medical Research and Opinion|October 12, 2017
The burden of severe hypoglycemia in type 1 diabetesJieruo Liu, Rosa Wang, Michael L Ganz, et al.
International Journal of Medical Informatics|October 23, 2019
Biomarker data visualisation for decision making in clinical trialsAlan Davies, Marisa Cunha, Kamilla Kopec-Harding, et al.
Bioinformatics (Oxford, England)|July 28, 2018
Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D Metcalfe, et al.
Bioinformatics (Oxford, England)|May 5, 2018
Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D Metcalfe, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Studies in Health Technology and Informatics|April 21, 2017
Disentangling Prognostic and Predictive Biomarkers Through Mutual InformationKonstantinos Sechidis, Emily Turner, Paul Metcalfe, et al.
International Journal of Clinical Practice|December 29, 2017
Association of postprandial and fasting plasma glucose with HbA1c across the spectrum of glycaemic impairment in type 2 diabetesPaul Valensi, Lise Lotte N Husemoen, James Weatherall, et al.
Journal of Medical Economics|September 26, 2017
Insulin degludec versus insulin glargine U100 for patients with type 1 or type 2 diabetes in the US: a budget impact analysis with rebate tablesWendy S Lane, James Weatherall, Jens Gundgaard, et al.
Studies in Health Technology and Informatics|August 8, 2013
Taming EHR data: using semantic similarity to reduce dimensionalityLeila Kalankesh, James Weatherall, Thamer Ba-Dhfari, et al.
JMIR Mhealth and Uhealth|June 7, 2018
Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported OutcomesJames Weatherall, Yurek Paprocki, Theresa M Meyer, et al.
Journal of Medical Economics|January 31, 2019
A systematic literature review identifying associations between outcomes and quality of life (QoL) or healthcare resource utilization (HCRU) in schizophreniaNicola Germain, Steven Kymes, Elin Löf, et al.
Current Medical Research and Opinion|October 12, 2017
The burden of severe hypoglycemia in type 1 diabetesJieruo Liu, Rosa Wang, Michael L Ganz, et al.
International Journal of Medical Informatics|October 23, 2019
Biomarker data visualisation for decision making in clinical trialsAlan Davies, Marisa Cunha, Kamilla Kopec-Harding, et al.
Bioinformatics (Oxford, England)|July 28, 2018
Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D Metcalfe, et al.
Bioinformatics (Oxford, England)|May 5, 2018
Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D Metcalfe, et al.
Pageof 3