142 related articles for article (PubMed ID: 34690328)
1. Machine Learning-based Prediction of Prolonged Intensive Care Unit Stay for Critical Patients with Spinal Cord Injury.
Fan G; Yang S; Liu H; Xu N; Chen Y; He J; Su X; Pang M; Liu B; Han L; Rong L
Spine (Phila Pa 1976); 2022 May; 47(9):E390-E398. PubMed ID: 34690328
[TBL] [Abstract][Full Text] [Related]
2. Early Prognostication of Critical Patients With Spinal Cord Injury: A Machine Learning Study With 1485 Cases.
Fan G; Liu H; Yang S; Luo L; Pang M; Liu B; Zhang L; Han L; Rong L; Liao X
Spine (Phila Pa 1976); 2024 Jun; 49(11):754-762. PubMed ID: 37921018
[TBL] [Abstract][Full Text] [Related]
3. Precision medicine for traumatic cervical spinal cord injuries: accessible and interpretable machine learning models to predict individualized in-hospital outcomes.
Karabacak M; Margetis K
Spine J; 2023 Dec; 23(12):1750-1763. PubMed ID: 37619871
[TBL] [Abstract][Full Text] [Related]
4. [Predicting prolonged length of intensive care unit stay
Wu JY; Lin Y; Lin K; Hu YH; Kong GL
Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Dec; 53(6):1163-1170. PubMed ID: 34916699
[TBL] [Abstract][Full Text] [Related]
5. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases.
Peng S; Huang J; Liu X; Deng J; Sun C; Tang J; Chen H; Cao W; Wang W; Duan X; Luo X; Peng S
Front Cardiovasc Med; 2022; 9():994359. PubMed ID: 36312291
[TBL] [Abstract][Full Text] [Related]
6. [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]
7. Explainable time-series deep learning models for the prediction of mortality, prolonged length of stay and 30-day readmission in intensive care patients.
Deng Y; Liu S; Wang Z; Wang Y; Jiang Y; Liu B
Front Med (Lausanne); 2022; 9():933037. PubMed ID: 36250092
[TBL] [Abstract][Full Text] [Related]
8. Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.
Huang T; Le D; Yuan L; Xu S; Peng X
PLoS One; 2023; 18(1):e0280606. PubMed ID: 36701342
[TBL] [Abstract][Full Text] [Related]
9. Prediction algorithm for ICU mortality and length of stay using machine learning.
Iwase S; Nakada TA; Shimada T; Oami T; Shimazui T; Takahashi N; Yamabe J; Yamao Y; Kawakami E
Sci Rep; 2022 Jul; 12(1):12912. PubMed ID: 35902633
[TBL] [Abstract][Full Text] [Related]
10. Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil.
Kurtz P; Peres IT; Soares M; Salluh JIF; Bozza FA
Neurocrit Care; 2022 Aug; 37(Suppl 2):313-321. PubMed ID: 35381967
[TBL] [Abstract][Full Text] [Related]
11. Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.
Desautels T; Das R; Calvert J; Trivedi M; Summers C; Wales DJ; Ercole A
BMJ Open; 2017 Sep; 7(9):e017199. PubMed ID: 28918412
[TBL] [Abstract][Full Text] [Related]
12. Predicting Prolonged Length of ICU Stay through Machine Learning.
Wu J; Lin Y; Li P; Hu Y; Zhang L; Kong G
Diagnostics (Basel); 2021 Nov; 11(12):. PubMed ID: 34943479
[TBL] [Abstract][Full Text] [Related]
13. Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study.
Li J; Liu S; Hu Y; Zhu L; Mao Y; Liu J
J Med Internet Res; 2022 Aug; 24(8):e38082. PubMed ID: 35943767
[TBL] [Abstract][Full Text] [Related]
14. Early prediction of long hospital stay for Intensive Care units readmission patients using medication information.
Zhang M; Kuo TT
Comput Biol Med; 2024 May; 174():108451. PubMed ID: 38603899
[TBL] [Abstract][Full Text] [Related]
15. A Novel Composite Indicator of Predicting Mortality Risk for Heart Failure Patients With Diabetes Admitted to Intensive Care Unit Based on Machine Learning.
Yang B; Zhu Y; Lu X; Shen C
Front Endocrinol (Lausanne); 2022; 13():917838. PubMed ID: 35846312
[TBL] [Abstract][Full Text] [Related]
16. Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU.
Xie W; Li Y; Meng X; Zhao M
Int J Med Inform; 2023 Jun; 174():105049. PubMed ID: 37001474
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit.
Xu J; Chen D; Deng X; Pan X; Chen Y; Zhuang X; Sun C
Int Wound J; 2022 Nov; 19(7):1637-1649. PubMed ID: 35077000
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study.
Liu Y; Gao K; Deng H; Ling T; Lin J; Yu X; Bo X; Zhou J; Gao L; Wang P; Hu J; Zhang J; Tong Z; Liu Y; Shi Y; Ke L; Gao Y; Li W
Int J Med Inform; 2022 Jul; 163():104776. PubMed ID: 35512625
[TBL] [Abstract][Full Text] [Related]
20. Predicting Intensive Care Unit Length of Stay After Acute Type A Aortic Dissection Surgery Using Machine Learning.
Chen Q; Zhang B; Yang J; Mo X; Zhang L; Li M; Chen Z; Fang J; Wang F; Huang W; Fan R; Zhang S
Front Cardiovasc Med; 2021; 8():675431. PubMed ID: 34322526
[No Abstract] [Full Text] [Related]
[Next] [New Search]
