338 related articles for article (PubMed ID: 37058755)
1. Early prediction of delirium upon intensive care unit admission: Model development, validation, and deployment.
Wang ML; Kuo YT; Kuo LC; Liang HP; Cheng YW; Yeh YC; Tsai MT; Chan WS; Chiu CT; Chao A; Chou NK; Yeh YC; Ku SC
J Clin Anesth; 2023 Sep; 88():111121. PubMed ID: 37058755
[TBL] [Abstract][Full Text] [Related]
2. External Validation of Two Models to Predict Delirium in Critically Ill Adults Using Either the Confusion Assessment Method-ICU or the Intensive Care Delirium Screening Checklist for Delirium Assessment.
Wassenaar A; Schoonhoven L; Devlin JW; van Haren FMP; Slooter AJC; Jorens PG; van der Jagt M; Simons KS; Egerod I; Burry LD; Beishuizen A; Matos J; Donders ART; Pickkers P; van den Boogaard M
Crit Care Med; 2019 Oct; 47(10):e827-e835. PubMed ID: 31306177
[TBL] [Abstract][Full Text] [Related]
3. A Machine Learning-Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study.
Hur S; Ko RE; Yoo J; Ha J; Cha WC; Chung CR
JMIR Med Inform; 2021 Jul; 9(7):e23401. PubMed ID: 34309567
[TBL] [Abstract][Full Text] [Related]
4. Machine learning-based prediction of delirium 24 h after pediatric intensive care unit admission in critically ill children: A prospective cohort study.
Lei L; Zhang S; Yang L; Yang C; Liu Z; Xu H; Su S; Wan X; Xu M
Int J Nurs Stud; 2023 Oct; 146():104565. PubMed ID: 37542959
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of delirium prediction model for critically ill adults parameterized to ICU admission acuity.
Cherak SJ; Soo A; Brown KN; Ely EW; Stelfox HT; Fiest KM
PLoS One; 2020; 15(8):e0237639. PubMed ID: 32813717
[TBL] [Abstract][Full Text] [Related]
6. Validation of PRE-DELIRIC and E-PRE-DELIRIC in a Danish population of intensive care unit patients-A prospective observational multicenter study.
Anton Joseph N; Poulsen LM; Maagaard M; Tholander S; Pedersen HBS; Georgi-Jensen C; Mathiesen O; Andersen-Ranberg NC
Acta Anaesthesiol Scand; 2024 Mar; 68(3):385-393. PubMed ID: 38009425
[TBL] [Abstract][Full Text] [Related]
7. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
Lin Y; Wu JY; Lin K; Hu YH; Kong GL
Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun; 53(3):566-572. PubMed ID: 34145862
[TBL] [Abstract][Full Text] [Related]
8. Validation of E-PRE-DELIRIC in cardiac surgical ICU delirium: A retrospective cohort study.
Gao W; Zhang Y; Jin J
Nurs Crit Care; 2022 Mar; 27(2):233-239. PubMed ID: 34132439
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning-Based Recurrent Delirium Prediction in Critically Ill Patients.
Lucini FR; Stelfox HT; Lee J
Crit Care Med; 2023 Apr; 51(4):492-502. PubMed ID: 36790184
[TBL] [Abstract][Full Text] [Related]
10. Recalibration of the delirium prediction model for ICU patients (PRE-DELIRIC): a multinational observational study.
van den Boogaard M; Schoonhoven L; Maseda E; Plowright C; Jones C; Luetz A; Sackey PV; Jorens PG; Aitken LM; van Haren FM; Donders R; van der Hoeven JG; Pickkers P
Intensive Care Med; 2014 Mar; 40(3):361-9. PubMed ID: 24441670
[TBL] [Abstract][Full Text] [Related]
11. Validation of a delirium predictive model in patients admitted to surgical intensive care units: a multicentre prospective observational cohort study.
Chaiwat O; Chittawatanarat K; Mueankwan S; Morakul S; Dilokpattanamongkol P; Thanakiattiwibun C; Siriussawakul A
BMJ Open; 2022 Jun; 12(6):e057890. PubMed ID: 35728902
[TBL] [Abstract][Full Text] [Related]
12. Multinational development and validation of an early prediction model for delirium in ICU patients.
Wassenaar A; van den Boogaard M; van Achterberg T; Slooter AJ; Kuiper MA; Hoogendoorn ME; Simons KS; Maseda E; Pinto N; Jones C; Luetz A; Schandl A; Verbrugghe W; Aitken LM; van Haren FM; Donders AR; Schoonhoven L; Pickkers P
Intensive Care Med; 2015 Jun; 41(6):1048-56. PubMed ID: 25894620
[TBL] [Abstract][Full Text] [Related]
13. Predicting Intensive Care Delirium with Machine Learning: Model Development and External Validation.
Gong KD; Lu R; Bergamaschi TS; Sanyal A; Guo J; Kim HB; Nguyen HT; Greenstein JL; Winslow RL; Stevens RD
Anesthesiology; 2023 Mar; 138(3):299-311. PubMed ID: 36538354
[TBL] [Abstract][Full Text] [Related]
14. Delirium prediction in the intensive care unit: comparison of two delirium prediction models.
Wassenaar A; Schoonhoven L; Devlin JW; van Haren FMP; Slooter AJC; Jorens PG; van der Jagt M; Simons KS; Egerod I; Burry LD; Beishuizen A; Matos J; Donders ART; Pickkers P; van den Boogaard M
Crit Care; 2018 May; 22(1):114. PubMed ID: 29728150
[TBL] [Abstract][Full Text] [Related]
15. Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation.
Liu X; Hu P; Yeung W; Zhang Z; Ho V; Liu C; Dumontier C; Thoral PJ; Mao Z; Cao D; Mark RG; Zhang Z; Feng M; Li D; Celi LA
Lancet Digit Health; 2023 Oct; 5(10):e657-e667. PubMed ID: 37599147
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of delirium in critically ill patients: validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).
Ely EW; Margolin R; Francis J; May L; Truman B; Dittus R; Speroff T; Gautam S; Bernard GR; Inouye SK
Crit Care Med; 2001 Jul; 29(7):1370-9. PubMed ID: 11445689
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study.
van den Boogaard M; Pickkers P; Slooter AJ; Kuiper MA; Spronk PE; van der Voort PH; van der Hoeven JG; Donders R; van Achterberg T; Schoonhoven L
BMJ; 2012 Feb; 344():e420. PubMed ID: 22323509
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of risk-stratification delirium prediction model for critically ill patients: A prospective, observational, single-center study.
Chen Y; Du H; Wei BH; Chang XN; Dong CM
Medicine (Baltimore); 2017 Jul; 96(29):e7543. PubMed ID: 28723773
[TBL] [Abstract][Full Text] [Related]
19. Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.
Thorsen-Meyer HC; Nielsen AB; Nielsen AP; Kaas-Hansen BS; Toft P; Schierbeck J; Strøm T; Chmura PJ; Heimann M; Dybdahl L; Spangsege L; Hulsen P; Belling K; Brunak S; Perner A
Lancet Digit Health; 2020 Apr; 2(4):e179-e191. PubMed ID: 33328078
[TBL] [Abstract][Full Text] [Related]
20. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
