Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
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A systematic review of validated methods for identifying heart failure using administrative dataBuilding bridges across electronic health record systems through inferred phenotypic topics.Association of rheumatoid arthritis susceptibility gene with lipid profiles in patients with rheumatoid arthritisAssociations between cigarette smoking and pain among veteransCardiovascular events are not associated with MTHFR polymorphisms, but are associated with methotrexate use and traditional risk factors in US veterans with rheumatoid arthritisToward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sourcesUse of the i2b2 research query tool to conduct a matched case-control clinical research study: advantages, disadvantages and methodological considerationsAcute myocardial infarctions, strokes and influenza: seasonal and pandemic effects.Validation of Diagnostic Groups Based on Health Care Utilization Data Should Adjust for Sampling StrategyManaging data quality for a drug safety surveillance system.Validity of claims-based stroke algorithms in contemporary Medicare data: reasons for geographic and racial differences in stroke (REGARDS) study linked with medicare claims.Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.Improving accuracy of International Classification of Diseases codes for venous thromboembolism in administrative data.Antithrombotic therapy and outcomes after ICD implantation in patients with atrial fibrillation and coronary artery disease: an analysis from the National Cardiovascular Data Registry (NCDR)®.The validity of ICD codes coupled with imaging procedure codes for identifying acute venous thromboembolism using administrative data.When are breast cancer patients at highest risk of venous thromboembolism? A cohort study using English health care data.Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.Use of Electronic Health Data to Estimate Heart Failure Events in a Population-Based Cohort with CKD.Identification of Dyslipidemic Patients Attending Primary Care Clinics Using Electronic Medical Record (EMR) Data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) Database.Development and evaluation of an improved methodology for assessing adherence to evidence-based drug therapy guidelines using claims data.Automatic data source identification for clinical trial eligibility criteria resolution.Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system.Resource use and costs associated with diabetic macular edema in elderly persons.Using Electronic Medical Record to Identify Patients With Dyslipidemia in Primary Care Settings: International Classification of Disease Code Matters From One Region to a National DatabaseCosts of inpatient care among Medicare beneficiaries with heart failure, 2001 to 2004.Temporal properties of diagnosis code time series in aggregate.Relationship between cardiac rehabilitation and long-term risks of death and myocardial infarction among elderly Medicare beneficiaries.Risk of venous thromboembolism after total hip and knee replacement in older adults with comorbidity and co-occurring comorbidities in the Nationwide Inpatient Sample (2003-2006).Validation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD).Administrative data have high variation in validity for recording heart failurePregnancy-induced hypertension and diabetes and the risk of cardiovascular disease, stroke, and diabetes hospitalization in the year following delivery.Outcomes associated with warfarin use in older patients with heart failure and atrial fibrillation and a cardiovascular implantable electronic device: findings from the ADHERE registry linked to Medicare claims.Angiotensin receptor blockers and angiotensin-converting enzyme inhibitors: challenges in comparative effectiveness using Medicare data.Readmission After COPD Exacerbation Scale: determining 30-day readmission risk for COPD patients.Advanced imaging among health maintenance organization enrollees with cancerRisk of cardiovascular events in survivors of severe sepsisSubgroup analyses to determine cardiovascular risk associated with nonsteroidal antiinflammatory drugs and coxibs in specific patient groups.Characteristics of patients with venous thromboembolism and atrial fibrillation in Venezuela.Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data.Hospice, opiates, and acute care service use among the elderly before death from heart failure or cancer.
P2860
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P2860
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
@ast
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
@en
type
label
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
@ast
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
@en
prefLabel
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
@ast
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.
@en
P2093
P50
P1433
P1476
Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors
@en
P2093
Brian F Gage
David S Nilasena
Elena Birman-Deych
P304
P356
10.1097/01.MLR.0000160417.39497.A9
P577
2005-05-01T00:00:00Z