145 related articles for article (PubMed ID: 23504709)
1. A predictive model to identify hospitalized cancer patients at risk for 30-day mortality based on admission criteria via the electronic medical record.
Ramchandran KJ; Shega JW; Von Roenn J; Schumacher M; Szmuilowicz E; Rademaker A; Weitner BB; Loftus PD; Chu IM; Weitzman S
Cancer; 2013 Jun; 119(11):2074-80. PubMed ID: 23504709
[TBL] [Abstract][Full Text] [Related]
2. An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data.
Amarasingham R; Moore BJ; Tabak YP; Drazner MH; Clark CA; Zhang S; Reed WG; Swanson TS; Ma Y; Halm EA
Med Care; 2010 Nov; 48(11):981-8. PubMed ID: 20940649
[TBL] [Abstract][Full Text] [Related]
3. Derivation and validation of in-hospital mortality prediction models in ischaemic stroke patients using administrative data.
Lee J; Morishima T; Kunisawa S; Sasaki N; Otsubo T; Ikai H; Imanaka Y
Cerebrovasc Dis; 2013; 35(1):73-80. PubMed ID: 23429000
[TBL] [Abstract][Full Text] [Related]
4. An improved medical admissions risk system using multivariable fractional polynomial logistic regression modelling.
Silke B; Kellett J; Rooney T; Bennett K; O'Riordan D
QJM; 2010 Jan; 103(1):23-32. PubMed ID: 19846579
[TBL] [Abstract][Full Text] [Related]
5. A validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association get with the guidelines program.
Peterson PN; Rumsfeld JS; Liang L; Albert NM; Hernandez AF; Peterson ED; Fonarow GC; Masoudi FA;
Circ Cardiovasc Qual Outcomes; 2010 Jan; 3(1):25-32. PubMed ID: 20123668
[TBL] [Abstract][Full Text] [Related]
6. Risk-adjusting hospital mortality using a comprehensive electronic record in an integrated health care delivery system.
Escobar GJ; Gardner MN; Greene JD; Draper D; Kipnis P
Med Care; 2013 May; 51(5):446-53. PubMed ID: 23579354
[TBL] [Abstract][Full Text] [Related]
7. Predicting 30-day readmissions with preadmission electronic health record data.
Shadmi E; Flaks-Manov N; Hoshen M; Goldman O; Bitterman H; Balicer RD
Med Care; 2015 Mar; 53(3):283-9. PubMed ID: 25634089
[TBL] [Abstract][Full Text] [Related]
8. Quality of life before intensive care unit admission is a predictor of survival.
Hofhuis JG; Spronk PE; van Stel HF; Schrijvers AJ; Bakker J
Crit Care; 2007; 11(4):R78. PubMed ID: 17629906
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a mortality risk-adjustment model for patients hospitalized for exacerbations of chronic obstructive pulmonary disease.
Tabak YP; Sun X; Johannes RS; Hyde L; Shorr AF; Lindenauer PK
Med Care; 2013 Jul; 51(7):597-605. PubMed ID: 23604015
[TBL] [Abstract][Full Text] [Related]
10. Using enriched observational data to develop and validate age-specific mortality risk adjustment models for hospitalized pediatric patients.
Tabak YP; Sun X; Hyde L; Yaitanes A; Derby K; Johannes RS
Med Care; 2013 May; 51(5):437-45. PubMed ID: 23552435
[TBL] [Abstract][Full Text] [Related]
11. An electronic Simplified Acute Physiology Score-based risk adjustment score for critical illness in an integrated healthcare system.
Liu V; Turk BJ; Ragins AI; Kipnis P; Escobar GJ
Crit Care Med; 2013 Jan; 41(1):41-8. PubMed ID: 23222263
[TBL] [Abstract][Full Text] [Related]
12. Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III).
Higgins TL; Teres D; Copes WS; Nathanson BH; Stark M; Kramer AA
Crit Care Med; 2007 Mar; 35(3):827-35. PubMed ID: 17255863
[TBL] [Abstract][Full Text] [Related]
13. Development of a quantitative donor risk index to predict short-term mortality in orthotopic heart transplantation.
Weiss ES; Allen JG; Kilic A; Russell SD; Baumgartner WA; Conte JV; Shah AS
J Heart Lung Transplant; 2012 Mar; 31(3):266-73. PubMed ID: 22093382
[TBL] [Abstract][Full Text] [Related]
14. In-hospital mortality and morbidity of elderly medical patients can be predicted at admission by the Modified Early Warning Score: a prospective study.
Cei M; Bartolomei C; Mumoli N
Int J Clin Pract; 2009 Apr; 63(4):591-5. PubMed ID: 19220521
[TBL] [Abstract][Full Text] [Related]
15. Prognosis of Critically ill patients in the ED and value of perfusion index measurement: a cross-sectional study.
Oskay A; Eray O; Dinç SE; Aydın AG; Eken C
Am J Emerg Med; 2015 Aug; 33(8):1042-4. PubMed ID: 25957144
[TBL] [Abstract][Full Text] [Related]
16. A simple clinically based predictive rule for heart failure in-hospital mortality.
Rohde LE; Goldraich L; Polanczyk CA; Borges AP; Biolo A; Rabelo E; Beck-Da-Silva L; Clausell N
J Card Fail; 2006 Oct; 12(8):587-93. PubMed ID: 17045176
[TBL] [Abstract][Full Text] [Related]
17. A scoring system predicting the risk for intensive care unit admission for complications after major lung resection: a multicenter analysis.
Brunelli A; Ferguson MK; Rocco G; Pieretti P; Vigneswaran WT; Morgan-Hughes NJ; Zanello M; Salati M
Ann Thorac Surg; 2008 Jul; 86(1):213-8. PubMed ID: 18573425
[TBL] [Abstract][Full Text] [Related]
18. Activation of a medical emergency team using an electronic medical recording-based screening system*.
Huh JW; Lim CM; Koh Y; Lee J; Jung YK; Seo HS; Hong SB
Crit Care Med; 2014 Apr; 42(4):801-8. PubMed ID: 24335439
[TBL] [Abstract][Full Text] [Related]
19. Effects of short-term exposure to air pollution on hospital admissions of young children for acute lower respiratory infections in Ho Chi Minh City, Vietnam.
; Le TG; Ngo L; Mehta S; Do VD; Thach TQ; Vu XD; Nguyen DT; Cohen A
Res Rep Health Eff Inst; 2012 Jun; (169):5-72; discussion 73-83. PubMed ID: 22849236
[TBL] [Abstract][Full Text] [Related]
20. Prediction of heart failure mortality in emergent care: a cohort study.
Lee DS; Stitt A; Austin PC; Stukel TA; Schull MJ; Chong A; Newton GE; Lee JS; Tu JV
Ann Intern Med; 2012 Jun; 156(11):767-75, W-261, W-262. PubMed ID: 22665814
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]