204 related articles for article (PubMed ID: 31946333)
1. Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge.
Baig MM; Hua N; Zhang E; Robinson R; Armstrong D; Whittaker R; Robinson T; Mirza F; Ullah E
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2178-2181. PubMed ID: 31946333
[TBL] [Abstract][Full Text] [Related]
2. A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model.
Baig MM; Hua N; Zhang E; Robinson R; Spyker A; Armstrong D; Whittaker R; Robinson T; Ullah E
Med Biol Eng Comput; 2020 Jul; 58(7):1459-1466. PubMed ID: 32328883
[TBL] [Abstract][Full Text] [Related]
3. Predicting Patients at Risk of 30-Day Unplanned Hospital Readmission.
Baig M; Hua N; Zhang E; Robinson R; Armstrong D; Whittaker R; Robinson T; Mirza F; Ullah E
Stud Health Technol Inform; 2019 Aug; 266():20-24. PubMed ID: 31397296
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of Patients at Risk of Hospital Readmission (PARR) and LACE Risk Score for New Zealand Context.
Baig M; Zhang E; Robinson R; Ullah E; Whitakker R
Stud Health Technol Inform; 2018; 252():21-26. PubMed ID: 30040677
[TBL] [Abstract][Full Text] [Related]
5. Evaluating the predictive strength of the LACE index in identifying patients at high risk of hospital readmission following an inpatient episode: a retrospective cohort study.
Damery S; Combes G
BMJ Open; 2017 Jul; 7(7):e016921. PubMed ID: 28710226
[TBL] [Abstract][Full Text] [Related]
6. The LACE index and risk factors of 14-day versus 30-day readmissions in children.
Lin C; Hsu S; Yan YH
Int J Qual Health Care; 2023 May; 35(2):. PubMed ID: 37151043
[TBL] [Abstract][Full Text] [Related]
7. Machine learning and LACE index for predicting 30-day readmissions after heart failure hospitalization in elderly patients.
Polo Friz H; Esposito V; Marano G; Primitz L; Bovio A; Delgrossi G; Bombelli M; Grignaffini G; Monza G; Boracchi P
Intern Emerg Med; 2022 Sep; 17(6):1727-1737. PubMed ID: 35661313
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of prediction strategy and care coordination for COPD readmissions.
Bashir B; Schneider D; Naglak MC; Churilla TM; Adelsberger M
Hosp Pract (1995); 2016 Aug; 44(3):123-8. PubMed ID: 27391991
[TBL] [Abstract][Full Text] [Related]
9. LACE+ Index as Predictor of 30-Day Readmission in Brain Tumor Population.
Caplan IF; Sullivan PZ; Kung D; O'Rourke DM; Choudhri O; Glauser G; Osiemo B; Goodrich S; McClintock SD; Malhotra NR
World Neurosurg; 2019 Jul; 127():e443-e448. PubMed ID: 30926557
[TBL] [Abstract][Full Text] [Related]
10. The LACE+ index fails to predict 30-90 day readmission for supratentorial craniotomy patients: A retrospective series of 238 surgical procedures.
Caplan IF; Zadnik Sullivan P; Glauser G; Choudhri O; Kung D; O'Rourke DM; Osiemo B; Goodrich S; McClintock SD; Malhotra NR
Clin Neurol Neurosurg; 2019 Jul; 182():79-83. PubMed ID: 31102908
[TBL] [Abstract][Full Text] [Related]
11. Using the LACE index to predict hospital readmissions in congestive heart failure patients.
Wang H; Robinson RD; Johnson C; Zenarosa NR; Jayswal RD; Keithley J; Delaney KA
BMC Cardiovasc Disord; 2014 Aug; 14():97. PubMed ID: 25099997
[TBL] [Abstract][Full Text] [Related]
12. HOSPITAL Score, LACE Index and LACE+ Index as predictors of 30-day readmission in patients with heart failure.
Ibrahim AM; Koester C; Al-Akchar M; Tandan N; Regmi M; Bhattarai M; Al-Bast B; Kulkarni A; Robinson R
BMJ Evid Based Med; 2020 Oct; 25(5):166-167. PubMed ID: 31771947
[TBL] [Abstract][Full Text] [Related]
13. Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore.
Low LL; Lee KH; Hock Ong ME; Wang S; Tan SY; Thumboo J; Liu N
Biomed Res Int; 2015; 2015():169870. PubMed ID: 26682212
[TBL] [Abstract][Full Text] [Related]
14. Validation of the LACE readmission and mortality prediction model in a large surgical cohort: Comparison of performance at preoperative assessment and discharge time points.
Shaffer BK; Cui Y; Wanderer JP
J Clin Anesth; 2019 Dec; 58():22-26. PubMed ID: 31055196
[TBL] [Abstract][Full Text] [Related]
15. Utility of the LACE index at the bedside in predicting 30-day readmission or death in patients hospitalized with heart failure.
Yazdan-Ashoori P; Lee SF; Ibrahim Q; Van Spall HG
Am Heart J; 2016 Sep; 179():51-8. PubMed ID: 27595679
[TBL] [Abstract][Full Text] [Related]
16. Unplanned readmissions after hospital discharge among patients identified as being at high risk for readmission using a validated predictive algorithm.
Gruneir A; Dhalla IA; van Walraven C; Fischer HD; Camacho X; Rochon PA; Anderson GM
Open Med; 2011; 5(2):e104-11. PubMed ID: 21915234
[TBL] [Abstract][Full Text] [Related]
17. Clinicians can independently predict 30-day hospital readmissions as well as the LACE index.
Miller WD; Nguyen K; Vangala S; Dowling E
BMC Health Serv Res; 2018 Jan; 18(1):32. PubMed ID: 29357864
[TBL] [Abstract][Full Text] [Related]
18. Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.
Morgan DJ; Bame B; Zimand P; Dooley P; Thom KA; Harris AD; Bentzen S; Ettinger W; Garrett-Ray SD; Tracy JK; Liang Y
JAMA Netw Open; 2019 Mar; 2(3):e190348. PubMed ID: 30848808
[TBL] [Abstract][Full Text] [Related]
19. External validation of the modified LACE+, LACE+, and LACE scores to predict readmission or death after hospital discharge.
Staples JA; Wiksyk B; Liu G; Desai S; van Walraven C; Sutherland JM
J Eval Clin Pract; 2021 Dec; 27(6):1390-1397. PubMed ID: 33963605
[TBL] [Abstract][Full Text] [Related]
20. Predicting 30-Day Readmissions in Patients With Heart Failure Using Administrative Data: A Machine Learning Approach.
Sharma V; Kulkarni V; McAlister F; Eurich D; Keshwani S; Simpson SH; Voaklander D; Samanani S
J Card Fail; 2022 May; 28(5):710-722. PubMed ID: 34936894
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
