Published in BMC Med Inform Decis Mak on March 22, 2010
A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data. J Am Med Inform Assoc (2014) 1.25
Predicting disease risks from highly imbalanced data using random forest. BMC Med Inform Decis Mak (2011) 1.23
Using landscape and bioclimatic features to predict the distribution of lions, leopards and spotted hyaenas in Tanzania's Ruaha landscape. PLoS One (2014) 1.19
An epidemiological perspective on the future of direct-to-consumer personal genome testing. Investig Genet (2010) 1.13
Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration. Eur J Epidemiol (2011) 0.94
Application of support vector machine for prediction of medication adherence in heart failure patients. Healthc Inform Res (2010) 0.94
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function. J Biomed Inform (2016) 0.86
A multifactorial analysis of obesity as CVD risk factor: use of neural network based methods in a nutrigenetics context. BMC Bioinformatics (2010) 0.83
Support vector machine model for diagnosis of lymph node metastasis in gastric cancer with multidetector computed tomography: a preliminary study. BMC Cancer (2011) 0.82
Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning. Yonsei Med J (2013) 0.82
Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration. Eur J Hum Genet (2011) 0.79
Estimation of Electrically-Evoked Knee Torque from Mechanomyography Using Support Vector Regression. Sensors (Basel) (2016) 0.78
Evaluation of Major Online Diabetes Risk Calculators and Computerized Predictive Models. PLoS One (2015) 0.77
Analysis of an environmental exposure health questionnaire in a metropolitan minority population utilizing logistic regression and Support Vector Machines. J Health Care Poor Underserved (2013) 0.77
Real-data comparison of data mining methods in prediction of diabetes in iran. Healthc Inform Res (2013) 0.76
Broiler chickens can benefit from machine learning: support vector machine analysis of observational epidemiological data. J R Soc Interface (2012) 0.76
Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy. J Clin Neurosci (2015) 0.76
Application of the support vector machine to predict subclinical mastitis in dairy cattle. ScientificWorldJournal (2013) 0.75
Development of Health Parameter Model for Risk Prediction of CVD Using SVM. Comput Math Methods Med (2016) 0.75
Ensemble Merit Merge Feature Selection for Enhanced Multinomial Classification in Alzheimer's Dementia. Comput Math Methods Med (2015) 0.75
Predicting metabolic syndrome using decision tree and support vector machine methods. ARYA Atheroscler (2016) 0.75
A Data Fusion Approach to Enhance Association Study in Epilepsy. PLoS One (2016) 0.75
Machine learning approaches for discerning intercorrelation of hematological parameters and glucose level for identification of diabetes mellitus. EXCLI J (2013) 0.75
Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning. PLoS One (2016) 0.75
Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications. PLoS One (2016) 0.75
Restoring Mitochondrial Function: A Small Molecule-mediated Approach to Enhance Glucose Stimulated Insulin Secretion in Cholesterol Accumulated Pancreatic beta cells. Sci Rep (2016) 0.75
A novel approach for prediction of vitamin d status using support vector regression. PLoS One (2013) 0.75
Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy. J Comput Assist Tomogr (2016) 0.75
Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review. PLoS One (2017) 0.75
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med (2002) 101.79
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics (1988) 70.41
Standards of medical care in diabetes--2008. Diabetes Care (2008) 17.23
Global Guideline for Type 2 Diabetes: recommendations for standard, comprehensive, and minimal care. Diabet Med (2006) 3.60
A comparison of C/B ratios from studies using receiver operating characteristic curve analysis. J Clin Epidemiol (1999) 3.02
A network view of disease and compound screening. Nat Rev Drug Discov (2009) 2.90
Mining protein function from text using term-based support vector machines. BMC Bioinformatics (2005) 2.36
De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures. Bioinformatics (2007) 2.27
Diabetes Risk Calculator: a simple tool for detecting undiagnosed diabetes and pre-diabetes. Diabetes Care (2007) 2.22
Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res (2008) 1.98
Improving the performance of physiologic hot flash measures with support vector machines. Psychophysiology (2009) 1.54
Use of the diabetes risk score for opportunistic screening of undiagnosed diabetes and impaired glucose tolerance: the IGLOO (Impaired Glucose Tolerance and Long-Term Outcomes Observational) study. Diabetes Care (2005) 1.36
Support Vectors Machine-based identification of heart valve diseases using heart sounds. Comput Methods Programs Biomed (2009) 1.25
Type 2 diabetes mellitus in midlife estimated from the Cambridge Risk Score and body mass index. Arch Intern Med (2006) 1.09
How effective are lifestyle changes in the prevention of type 2 diabetes mellitus? Nutr Rev (2007) 0.99
Prevention of type 2 diabetes mellitus by changes in lifestyle. N Engl J Med (2001) 0.85
The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention? Genet Med (2007) 9.48
Letting the genome out of the bottle--will we get our wish? N Engl J Med (2008) 9.10
Deploying whole genome sequencing in clinical practice and public health: meeting the challenge one bin at a time. Genet Med (2011) 8.48
Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases. Am J Epidemiol (2006) 7.66
Systematic meta-analyses and field synopsis of genetic association studies in schizophrenia: the SzGene database. Nat Genet (2008) 6.71
The pediatric preclinical testing program: description of models and early testing results. Pediatr Blood Cancer (2007) 5.28
A navigator for human genome epidemiology. Nat Genet (2008) 5.07
Assessment of cumulative evidence on genetic associations: interim guidelines. Int J Epidemiol (2007) 4.96
Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology. Int J Epidemiol (2008) 4.53
How many genes underlie the occurrence of common complex diseases in the population? Int J Epidemiol (2005) 4.46
Comprehensive research synopsis and systematic meta-analyses in Parkinson's disease genetics: The PDGene database. PLoS Genet (2012) 4.27
Sodium and potassium intake and mortality among US adults: prospective data from the Third National Health and Nutrition Examination Survey. Arch Intern Med (2011) 4.22
The emergence of translational epidemiology: from scientific discovery to population health impact. Am J Epidemiol (2010) 4.04
Can family history be used as a tool for public health and preventive medicine? Genet Med (2002) 3.76
National Institutes of Health approaches to dissemination and implementation science: current and future directions. Am J Public Health (2012) 3.72
A critical appraisal of the scientific basis of commercial genomic profiles used to assess health risks and personalize health interventions. Am J Hum Genet (2008) 3.25
Genetic test evaluation: information needs of clinicians, policy makers, and the public. Am J Epidemiol (2002) 3.23
Recommendations for returning genomic incidental findings? We need to talk! Genet Med (2013) 3.23
A road map for efficient and reliable human genome epidemiology. Nat Genet (2006) 3.21
What is the clinical utility of genetic testing? Genet Med (2006) 3.01
Research priorities for evaluating family history in the prevention of common chronic diseases. Am J Prev Med (2003) 2.99
The Scientific Foundation for personal genomics: recommendations from a National Institutes of Health-Centers for Disease Control and Prevention multidisciplinary workshop. Genet Med (2009) 2.91
Improving validation practices in "omics" research. Science (2011) 2.73
On the synthesis and interpretation of consistent but weak gene-disease associations in the era of genome-wide association studies. Int J Epidemiol (2006) 2.66
Strengthening the reporting of genetic association studies (STREGA): an extension of the strengthening the reporting of observational studies in epidemiology (STROBE) statement. J Clin Epidemiol (2009) 2.45
Family history in public health practice: a genomic tool for disease prevention and health promotion. Annu Rev Public Health (2010) 2.43
STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement. PLoS Med (2009) 2.39
The impact of genotype frequencies on the clinical validity of genomic profiling for predicting common chronic diseases. Genet Med (2007) 2.34
Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database. Am J Epidemiol (2006) 2.34
Most published research findings are false-but a little replication goes a long way. PLoS Med (2007) 2.26
Family history and prevalence of diabetes in the U.S. population: the 6-year results from the National Health and Nutrition Examination Survey (1999-2004). Diabetes Care (2007) 2.22
Developing Family Healthware, a family history screening tool to prevent common chronic diseases. Prev Chronic Dis (2008) 2.20
Health care provider and consumer awareness, perceptions, and use of direct-to-consumer personal genomic tests, United States, 2008. Genet Med (2009) 2.17
DNA banking for epidemiologic studies: a review of current practices. Epidemiology (2002) 2.16
The path from genome-based research to population health: development of an international public health genomics network. Genet Med (2006) 2.15
Genome-wide association studies, field synopses, and the development of the knowledge base on genetic variation and human diseases. Am J Epidemiol (2009) 2.15
Invited commentary: genes, environment, and hybrid vigor. Am J Epidemiol (2009) 2.15
Genomic profiling to promote a healthy lifestyle: not ready for prime time. Nat Genet (2003) 2.11
Metabolic risks identified by the combination of enlarged waist and elevated triacylglycerol concentration. Am J Clin Nutr (2003) 2.11
Evolution of the "drivers" of translational cancer epidemiology: analysis of funded grants and the literature. Am J Epidemiol (2015) 2.04
Future health applications of genomics: priorities for communication, behavioral, and social sciences research. Am J Prev Med (2010) 1.98
Analysis of prognostic factors in ewing sarcoma family of tumors: review of St. Jude Children's Research Hospital studies. Cancer (2007) 1.93
Do we need genomic research for the prevention of common diseases with environmental causes? Am J Epidemiol (2005) 1.92
Improving the prediction of complex diseases by testing for multiple disease-susceptibility genes. Am J Hum Genet (2003) 1.85
Estimated number of adults with prediabetes in the US in 2000: opportunities for prevention. Diabetes Care (2003) 1.84
Genomics and the prevention and control of common chronic diseases: emerging priorities for public health action. Prev Chronic Dis (2005) 1.84
Required sample size and nonreplicability thresholds for heterogeneous genetic associations. Proc Natl Acad Sci U S A (2008) 1.84
Improved survival for patients with recurrent Wilms tumor: the experience at St. Jude Children's Research Hospital. J Pediatr Hematol Oncol (2002) 1.82
STrengthening the REporting of Genetic Association studies (STREGA)--an extension of the STROBE statement. Eur J Clin Invest (2009) 1.82
On the use of population attributable fraction to determine sample size for case-control studies of gene-environment interaction. Epidemiology (2003) 1.82
Awareness and utilization of BRCA1/2 testing among U.S. primary care physicians. Am J Prev Med (2011) 1.80
From public health emergency to public health service: the implications of evolving criteria for newborn screening panels. Pediatrics (2006) 1.77
Population-based study of the prevalence of family history of cancer: implications for cancer screening and prevention. Genet Med (2006) 1.77
GAPscreener: an automatic tool for screening human genetic association literature in PubMed using the support vector machine technique. BMC Bioinformatics (2008) 1.75
The next generation of large-scale epidemiologic research: implications for training cancer epidemiologists. Am J Epidemiol (2014) 1.73
"Drivers" of translational cancer epidemiology in the 21st century: needs and opportunities. Cancer Epidemiol Biomarkers Prev (2013) 1.72
Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies. Eur J Hum Genet (2011) 1.69
Family history of type 2 diabetes: a population-based screening tool for prevention? Genet Med (2006) 1.67
Impact of violations and deviations in Hardy-Weinberg equilibrium on postulated gene-disease associations. Am J Epidemiol (2006) 1.67
Effect on ocular survival of adding early intensive focal treatments to a two-drug chemotherapy regimen in patients with retinoblastoma. Am J Ophthalmol (2005) 1.64
Challenges of translating genetic tests into clinical and public health practice. Nat Rev Genet (2009) 1.62
The emergence of networks in human genome epidemiology: challenges and opportunities. Epidemiology (2007) 1.61
Age-specific seroprevalence of HIV, hepatitis B virus, and hepatitis C virus infection among injection drug users admitted to drug treatment in 6 US cities. Am J Public Health (2002) 1.61
Evaluation of the antitumor efficacy, pharmacokinetics, and pharmacodynamics of the histone deacetylase inhibitor depsipeptide in childhood cancer models in vivo. Clin Cancer Res (2006) 1.58
An epidemiologic assessment of genomic profiling for measuring susceptibility to common diseases and targeting interventions. Genet Med (2004) 1.57
Knowledge integration at the center of genomic medicine. Genet Med (2012) 1.54
Prevalence in the United States of selected candidate gene variants: Third National Health and Nutrition Examination Survey, 1991-1994. Am J Epidemiol (2008) 1.53
Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement. Hum Genet (2009) 1.47
Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): explanation and elaboration. J Clin Epidemiol (2011) 1.46
A network of investigator networks in human genome epidemiology. Am J Epidemiol (2005) 1.43
Does genetic testing really improve the prediction of future type 2 diabetes? PLoS Med (2006) 1.43
Unrecognized HIV infection among patients attending sexually transmitted disease clinics. Am J Public Health (2002) 1.41
Building the evidence base for decision making in cancer genomic medicine using comparative effectiveness research. Genet Med (2012) 1.39
HIV seroincidence among patients at clinics for sexually transmitted diseases in nine cities in the United States. J Acquir Immune Defic Syndr (2002) 1.37
Implementing screening for Lynch syndrome among patients with newly diagnosed colorectal cancer: summary of a public health/clinical collaborative meeting. Genet Med (2011) 1.37
Horizon scanning for new genomic tests. Genet Med (2011) 1.36
The emergence of epidemiology in the genomics age. Int J Epidemiol (2004) 1.36
The epidemiology of medium chain acyl-CoA dehydrogenase deficiency: an update. Genet Med (2006) 1.35
Genetic epidemiology with a capital E, ten years after. Genet Epidemiol (2011) 1.34
Personal utility and genomic information: look before you leap. Genet Med (2009) 1.32