146 related articles for article (PubMed ID: 38585187)
1. Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.
Contreras M; Silva B; Shickel B; Bandyopadhyay S; Guan Z; Ren Y; Ozrazgat-Baslanti T; Khezeli K; Bihorac A; Rashidi P
IEEE EMBS Int Conf Biomed Health Inform; 2023 Oct; 2023():. PubMed ID: 38585187
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study.
Persson I; Grünwald A; Morvan L; Becedas D; Arlbrandt M
JMIR Form Res; 2023 Dec; 7():e45979. PubMed ID: 38096015
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Clinical values of cerebral oxygen saturation monitoring in patients with septic shock.
Peng Q; Zhang L; Ai M; Huang L; Ai Y
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Nov; 46(11):1212-1219. PubMed ID: 34911855
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Analysis of delirium prediction in the ICU based on the hybrid SGDCS-ANFIS approach.
Tian Y; Liang Y; Chen Y; Bian H
Med Biol Eng Comput; 2023 Mar; 61(3):673-683. PubMed ID: 36580182
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. A novel model to label delirium in an intensive care unit from clinician actions.
Coombes CE; Coombes KR; Fareed N
BMC Med Inform Decis Mak; 2021 Mar; 21(1):97. PubMed ID: 33750375
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
Awad A; Bader-El-Den M; McNicholas J; Briggs J
Int J Med Inform; 2017 Dec; 108():185-195. PubMed ID: 29132626
[TBL] [Abstract][Full Text] [Related]
15. Validation of PREdiction of DELIRium in ICu patients (PRE-DELIRIC) among patients in intensive care units: A retrospective cohort study.
Liang S; Chau JPC; Lo SHS; Bai L; Yao L; Choi KC
Nurs Crit Care; 2021 May; 26(3):176-182. PubMed ID: 32954624
[TBL] [Abstract][Full Text] [Related]
16. Utility of a prediction model for delirium in intensive care unit patients (PRE-DELIRIC) in mechanically ventilated patients with sepsis.
Miyamoto K; Nakashima T; Shima N; Kato S; Kawazoe Y; Morimoto T; Ohta Y; Yamamura H;
Acute Med Surg; 2020; 7(1):e589. PubMed ID: 33173589
[TBL] [Abstract][Full Text] [Related]
17. Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis.
Nesaragi N; Patidar S; Aggarwal V
Comput Biol Med; 2021 Jul; 134():104430. PubMed ID: 33991856
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of a dynamic delirium prediction rule in patients admitted to the Intensive Care Units (DYNAMIC-ICU): A prospective cohort study.
Fan H; Ji M; Huang J; Yue P; Yang X; Wang C; Ying W
Int J Nurs Stud; 2019 May; 93():64-73. PubMed ID: 30861455
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Machine learning for the prediction of delirium in elderly intensive care unit patients.
Ma R; Zhao J; Wen Z; Qin Y; Yu Z; Yuan J; Zhang Y; Wang A; Li C; Li H; Chen Y; Han F; Zhao Y; Sun S; Ning X
Eur Geriatr Med; 2024 Jun; ():. PubMed ID: 38937402
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]