Related references
Note: Only part of the references are listed.Personalized Diabetes Management Using Electronic Medical Records
Dimitris Bertsimas et al.
DIABETES CARE (2017)
Persistent organic pollutants in early pregnancy and risk of gestational diabetes mellitus
Marina Vafeiadi et al.
ENVIRONMENT INTERNATIONAL (2017)
Reusability of coded data in the primary care electronic medical record: A dynamic cohort study concerning cancer diagnoses
Annet Sollie et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2017)
A machine learning-based framework to identify type 2 diabetes through electronic health records
Tao Zheng et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2017)
Insulin dependent diabetes mellitus (IDDM) and first trimester markers in prenatal screening for Down syndrome
Wayne J. Huttly et al.
PRENATAL DIAGNOSIS (2016)
Temporal case matching with information value maximization for predicting physiological states
Haiyan Yu et al.
INFORMATION SCIENCES (2016)
Parental smoking during pregnancy and the risk of gestational diabetes in the daughter
Wei Bao et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2016)
How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach
Daisuke Ichikawa et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2016)
Pre-pregnancy potato consumption and risk of gestational diabetes mellitus: prospective cohort study
Wei Bao et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
International Diabetes Federation World Diabetes Congress 2015
Helen X. Gao et al.
JOURNAL OF DIABETES (2016)
Pre-pregnancy potato consumption and risk of gestational diabetes mellitus: prospective cohort study
Wei Bao et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Riccardo Miotto et al.
SCIENTIFIC REPORTS (2016)
Detecting the influence of rare stressors on rare species in Yosemite National Park using a novel stratified permutation test
J. R. Matchett et al.
SCIENTIFIC REPORTS (2015)
Does an Electronic Health Record Improve Completeness of Prenatal Studies?
T. A. McLean et al.
APPLIED CLINICAL INFORMATICS (2015)
Approximating the crowd
Seyda Ertekin et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2014)
Time-to-Event Predictive Modeling for Chronic Conditions Using Electronic Health Records
Yu-Kai Lin et al.
IEEE INTELLIGENT SYSTEMS (2014)
How to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through
Stuart G. Baker et al.
STATISTICS IN MEDICINE (2014)
Diagnosis Gestational Diabetes Mellitus in China
Wei-wei Zhu et al.
DIABETES CARE (2013)
pROC: an open-source package for R and S plus to analyze and compare ROC curves
Xavier Robin et al.
BMC BIOINFORMATICS (2011)
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets
Yang Liu et al.
INFORMATION PROCESSING & MANAGEMENT (2011)
First-Trimester Prediction of Gestational Diabetes Mellitus: Examining the Potential of Combining Maternal Characteristics and Laboratory Measures
Makrina Savvidou et al.
DIABETES (2010)
Learning from Imbalanced Data
Haibo He et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)
Type 2 diabetes in children and adolescents
Marc J. Weigensberg et al.
LANCET (2009)
Top 10 algorithms in data mining
Xindong Wu et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2008)
Share Paper
