2001
DOI: 10.1016/s0003-4975(01)03222-2
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Cardiac surgery report cards: comprehensive review and statistical critique11This review is an abridged version of a report submitted by the Massachusetts Cardiac Care Quality Commission to the Massachusetts Legislature, May 2001.

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Cited by 247 publications
(31 citation statements)
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“…It captures only one of the two important sources of data variation: random variation across patient outcomes, but not variations across transplant centers (2). It might also overestimate the number of centers considered to be outliers and therefore exaggerate differences between the centers with the best and worst outcomes (2,4).…”
Section: Introductionmentioning
confidence: 99%
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“…It captures only one of the two important sources of data variation: random variation across patient outcomes, but not variations across transplant centers (2). It might also overestimate the number of centers considered to be outliers and therefore exaggerate differences between the centers with the best and worst outcomes (2,4).…”
Section: Introductionmentioning
confidence: 99%
“…(3) Have existing public reports induced underperforming providers to improve and thus reduce outcome variability? (4) What is the potential outcome improvement that can be achieved by reducing variability?…”
Section: Introductionmentioning
confidence: 99%
“…Shahian et al [10] had evoked the use of artificial neural network for the prediction. Sindhu et al [11] used different classification techniques for prediction and according to them j48 was the best.…”
Section: Related Work:-mentioning
confidence: 99%
“…A wide range of data mining techniques was considered by using WEKA software package [24]. Shahian et al (2001) [25] used artificial neural network for classification of thoracic surgery data. Sindhu et all.…”
Section: The Classification Studies On Thoracic Surgery Medical Damentioning
confidence: 99%