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return kwic search for rate out of >500 occurrences
286534 occurrences (No.87 in the rank) during 5 years in the PubMed. [cache]

247) The BPMI model identified (n = 57; 56% sensitivity) of these patients, when set at a threshold leading to 80% specificity (approximately a 20% false alarm rate).

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PMID:33085571 DOI:10.1089/sur.2020.208

2021 Surgical infections

* Challenges of Modeling Outcomes for Surgical Infections: A Word of Caution.

- Background: We developed a novel analytic tool for colorectal deep organ/space surgical site infections (C-OSI) prediction utilizing both institutional and extra-institutional American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) data. Methods: Elective colorectal resections (2006-2014) were included. The primary end point was C-OSI rate. A Bayesian-Probit regression model with multiple imputation (BPMI) via Dirichlet process handled missing data. The baseline model for comparison was a multivariable logistic regression model (generalized linear model; GLM) with indicator parameters for missing data and stepwise variable selection. Out-of-sample performance was evaluated with receiver operating characteristic (ROC) analysis of 10-fold cross-validated samples. Results: Among 2,376 resections, C-OSI rate was 4.6% (n = 108). The BPMI model identified (n = 57; 56% sensitivity) of these patients, when set at a threshold leading to 80% specificity (approximately a 20% false alarm rate). The BPMI model produced an area under the curve (AUC) = 0.78 via 10-fold cross- validation demonstrating high predictive accuracy. In contrast, the traditional GLM approach produced an AUC = 0.71 and a corresponding sensitivity of 0.47 at 80% specificity, both of which were statstically significant differences. In addition, when the model was built utilizing extra-institutional data via inclusion of all (non-Mayo Clinic) patients in ACS-NSQIP, C-OSI prediction was less accurate with AUC = 0.74 and sensitivity of 0.47 (i.e., a 19% relative performance decrease) when applied to patients at our institution. Conclusions: Although the statistical methodology associated with the BPMI model provides advantages over conventional handling of missing data, the tool should be built with data specific to the individual institution to optimize performance.

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[frequency of next (right) word to rate]

(1)172 of	(10)5 that	(19)3 step	(28)2 increased
(2)40 and	(11)5 the	(20)2 (ESR),	(29)2 it
(3)32 was	(12)4 (HR),	(21)2 (RMR)	(30)2 lactate,
(4)31 null	(13)4 among	(22)2 after	(31)2 or
(5)24 in	(14)4 discrimination	(23)2 at	(32)2 respiratory
(6)8 variability	(15)4 is	(24)2 attributable	(33)2 to
(7)6 constants	(16)4 were	(25)2 between	(34)2 top
(8)6 for	(17)3 enzyme	(26)2 constant	(35)2 which
(9)5 (HR)	(18)3 on	(27)2 equations

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--- WordNet output for rate --- =>価格を評定する, 割合, 率, 歩合, 料金, 値段, 相場, 速度, 度合, 人を〜を思う, みなす, 価値がある, 人を〜とみなす, 科金, 評価する Overview of noun rate The noun rate has 4 senses (first 3 from tagged texts) 1. (68) rate -- (a magnitude or frequency relative to a time unit; "they traveled at a rate of 55 miles per hour"; "the rate of change was faster than expected") 2. (39) rate, charge per unit -- (amount of a charge or payment relative to some basis; "a 10-minute phone call at that rate would cost $5") 3. (1) pace, rate -- (the relative speed of progress or change; "he lived at a fast pace"; "he works at a great rate"; "the pace of events accelerated") 4. rate -- (a quantity or amount or measure considered as a proportion of another quantity or amount or measure; "the literacy rate"; "the retention rate"; "the dropout rate") Overview of verb rate The verb rate has 3 senses (first 3 from tagged texts) 1. (9) rate, rank, range, order, grade, place -- (assign a rank or rating to; "how would you rank these students?"; "The restaurant is rated highly in the food guide") 2. (2) rate -- (be worthy of or have a certain rating; "This bond rates highly") 3. (1) rate, value -- (estimate the value of; "How would you rate his chances to become President?"; "Gold was rated highly among the Romans") --- WordNet end ---