about
A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery - part I: model planning.Development and performance of a diagnostic/prognostic scoring system for breakthrough painEvaluation of an automated safety surveillance system using risk adjusted sequential probability ratio testing.Artificial neural networks versus proportional hazards Cox models to predict 45-year all-cause mortality in the Italian Rural Areas of the Seven Countries Study.A review of factors predicting perioperative death and early outcome in hepatopancreaticobiliary cancer surgeryPredicting the risk of death following coronary artery bypass graft made simple: a retrospective study using the American College of Surgeons National Surgical Quality Improvement Program database.Knowledge management in cardiac surgery: the second tehran heart center adult cardiac surgery database report.Smith vs. Bentham: implication for hospital competition.Cardiac surgery risk-stratification models.Artificial neural networks versus multiple logistic regression to predict 30-day mortality after operations for type a ascending aortic dissection.On the practice of ignoring center-patient interactions in evaluating hospital performance.Stratification of complexity: the Risk Adjustment for Congenital Heart Surgery-1 method and the Aristotle Complexity Score--past, present, and future.The impact of physician-owned specialty orthopaedic hospitals on surgical volume and case complexity in competing hospitals.Initial application in the EACTS and STS Congenital Heart Surgery Databases of an empirically derived methodology of complexity adjustment to evaluate surgical case mix and resultsEnhancing the Value of Population-Based Risk Scores for Institutional-Level UseDeveloping tools to predict outcomes following cardiovascular surgery.The society of thoracic surgeons national database.Risk assessment methods for cardiac surgery and intervention.Evaluation of quality in adult cardiac surgery: let us speak the same language.Long-term mortality prediction after operations for type A ascending aortic dissection.Developing a genetic fuzzy system for risk assessment of mortality after cardiac surgery.Artificial neural network versus multiple logistic function to predict 25-year coronary heart disease mortality in the Seven Countries Study.B-Type Natriuretic Peptide as a Predictor of Short-Term Mortality in On-Pump Coronary Artery Bypass Grafting.Comparison of transcatheter aortic valve replacement risk score against currently accepted surgical risk models as predictors of 30-day mortality in transcatheter aortic valve replacement.Hospital-wide mortality as a quality metric: conceptual and methodological challenges.Preoperative risk stratification in infective endocarditis. Does the EuroSCORE model work? Preliminary results.Data Quality Improvement in Clinical Databases Using Statistical Quality Control
P2860
Q33306988-A131B904-C622-4C53-88A1-EBDDB6864F1AQ33766488-206367BE-8B51-4FD7-AC89-BDB1FA26BE25Q34101009-A80EEED7-7BCD-4610-9C1D-3FBDDC7BC0BDQ34348313-E337BE09-25EC-4CF4-8D92-C74E306A5A50Q34528208-77841E69-33E2-448C-99C5-525329A3EFB6Q35585335-ABBBAB42-AB60-4600-BF9B-69E72255E1ADQ36472535-20624093-DA2A-47AC-BE8B-083B8490B805Q36474755-735E1DD5-B9D0-4A45-B33C-F16CDA320131Q37041636-3B514944-9111-4BE2-A4EB-30FBDCAEEEFBQ37288297-4FEE257A-6C6F-4698-8594-AA6D26AE78ABQ37309069-94AD98D7-46E1-445B-ACF4-6B34AD9F87E6Q37343512-11ACA8C2-9614-47E2-B52E-221EFECE91A1Q37350236-2870FB83-AA09-4C5D-99BB-B865178785E4Q37380429-B4AFC4D5-4E0F-402C-80EF-554FFB1C9FE1Q37443888-74B2F0DA-B3CC-47BB-9481-8E32C033685DQ37980466-FA052B25-176E-40DC-AFF8-BD868C993AEAQ38075532-033D9D78-20C7-4C94-9F0F-D8A4047DA5E3Q38253262-D094D68E-6F04-4C73-A266-488ADD995791Q42532887-02D6D8F7-DCB0-4421-93B0-157598330060Q42734672-7B9038D5-3806-4321-A3F1-571E421FA964Q44780497-FF619F01-8F51-4CF7-AC46-B9EDC80AB050Q45929107-2B55CA4C-FA5F-4C6A-A62A-D04D2069BEE3Q47111372-9EA548DC-6E78-4DB7-AD72-99BBE69D8DAAQ47676552-7096DA67-1F90-47AC-997F-1A60A1151CFFQ53088956-45E09276-CD45-4168-BD11-66CC437F1D20Q54510417-8A9B029C-9CA1-424C-9CA4-81865717CFA9Q56994211-3CA68F3D-847C-4BBA-A937-AA3030B71CD7
P2860
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Cardiac surgery risk models: a position article.
@ast
Cardiac surgery risk models: a position article.
@en
type
label
Cardiac surgery risk models: a position article.
@ast
Cardiac surgery risk models: a position article.
@en
prefLabel
Cardiac surgery risk models: a position article.
@ast
Cardiac surgery risk models: a position article.
@en
P2093
P1476
Cardiac surgery risk models: a position article.
@en
P2093
David C Naftel
David M Shahian
Eugene H Blackstone
Fred H Edwards
Frederick L Grover
Gary L Grunkemeier
STS workforce on evidence-based surgery
Samer A M Nashef
William C Nugent
P304
P356
10.1016/J.ATHORACSUR.2004.05.054
P407
P577
2004-11-01T00:00:00Z