Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases. - Wikidata - wikimedia - TriplyDB

Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases.

Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases.

http://www.wikidata.org/entity/Q31162318

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Validation of Diagnostic Groups Based on Health Care Utilization Data Should Adjust for Sampling Strategy The validity of using ICD-9 codes and pharmacy records to identify patients with chronic obstructive pulmonary disease.Ascertainment of chronic diseases using population health data: a comparison of health administrative data and patient self-report.Sensitivity and specificity of traumatic brain injury diagnosis codes in United States Department of Veterans Affairs administrative data.Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study.Billing code algorithms to identify cases of peripheral artery disease from administrative data Mining rich health data from Canadian physician claims: features and face validity.Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data.Validity of autism diagnoses using administrative health data.Comparing administrative and survey data for ascertaining cases of irritable bowel syndrome: a population-based investigation.Osteoporosis quality indicators using healthcare utilization data.Surveillance of systemic autoimmune rheumatic diseases using administrative data.Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data: the role of uncertainty Patient, physician, encounter, and billing characteristics predict the accuracy of syndromic surveillance case definitions.Osteoporosis-related fracture case definitions for population-based administrative data.Design and methods of a postmarketing pharmacoepidemiology study assessing long-term safety of Prolia® (denosumab) for the treatment of postmenopausal osteoporosis Refining hypertension surveillance to account for potentially misclassified cases.Improving automated case finding for ectopic pregnancy using a classification algorithm.Capture of osteoporosis and fracture information in an electronic medical record database from primary care Modification of claims-based measures improves identification of comorbidities in non-elderly women undergoing mastectomy for breast cancer: a retrospective cohort study.Bone mineral density screening among women with a history of breast cancer treated with aromatase inhibitors.Identifying patients with osteoporosis or at risk for osteoporotic fractures.Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning Ankle fractures do not predict osteoporotic fractures in women with or without diabetes Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents.Trends in fracture incidence: a population-based study over 20 years.Hospitalisations, admission costs and re-fracture risk related to osteoporosis in Western Australia are substantial: a 10-year review.Model-based methods for case definitions from administrative health data: application to rheumatoid arthritis.On-site programmatic attendance to cardiac rehabilitation and the healthy-adherer effect.Comparative Safety and Effectiveness of Denosumab Versus Zoledronic Acid in Patients With Osteoporosis: A Cohort Study.Subarachnoid hemorrhage admissions retrospectively identified using a prediction model A score regression approach to assess calibration of continuous probabilistic predictions.Health and social predictors of applications to public housing: a population-based analysis.Fracture incidence in a large cohort of men age 30 years and older with osteoporosis.Algorithms can be used to identify fragility fracture cases in physician-claims databases.Mortality rates after incident non-traumatic fractures in older men and women.Institutionalization following incident non-traumatic fractures in community-dwelling men and women.Utilization of bone mineral density testing among breast cancer survivors in British Columbia, Canada.Fracture Incidence and Characteristics in Young Adults Aged 18 to 49 Years: A Population-Based Study.

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P2860

Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases.

http://www.wikidata.org/entity/Q31162318

description

2008 nî lūn-bûn

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2008 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2008 թվականի հուլիսին հրատարակված գիտական հոդված

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2008年の論文

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2008年論文

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2008年論文

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2008年論文

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2008年論文

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2008年論文

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2008年论文

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Using multiple data features i ...... from administrative databases.

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Using multiple data features i ...... from administrative databases.

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J.JCLINEPI.2008.02.002

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Journal of Clinical Epidemiology

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Christopher Bowman

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Colleen Metge

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12

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61

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William D. Leslie

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2008-07-10T00:00:00Z

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18619800

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