248 related articles for article (PubMed ID: 38187137)
1. Predictive modeling of perioperative blood transfusion in lumbar posterior interbody fusion using machine learning.
Lang FF; Liu LY; Wang SW
Front Physiol; 2023; 14():1306453. PubMed ID: 38187137
[No Abstract] [Full Text] [Related]
2. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
Chen X; Pan J; Li Y; Tang R
Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
[TBL] [Abstract][Full Text] [Related]
3. The risk factors and predictive nomogram of human albumin infusion during the perioperative period of posterior lumbar interbody fusion: a study based on 2015-2020 data from a local hospital.
Liu B; Pan J; Zong H; Wang Z
J Orthop Surg Res; 2021 Oct; 16(1):654. PubMed ID: 34717707
[TBL] [Abstract][Full Text] [Related]
4. Prediction and Evaluation of Machine Learning Algorithm for Prediction of Blood Transfusion during Cesarean Section and Analysis of Risk Factors of Hypothermia during Anesthesia Recovery.
Ren W; Li D; Wang J; Zhang J; Fu Z; Yao Y
Comput Math Methods Med; 2022; 2022():8661324. PubMed ID: 35465016
[TBL] [Abstract][Full Text] [Related]
5. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
[TBL] [Abstract][Full Text] [Related]
6. Establishment and Verification of a Perioperative Blood Transfusion Model After Posterior Lumbar Interbody Fusion: A Retrospective Study Based on Data From a Local Hospital.
Liu B; Pan J; Zong H; Wang Z
Front Surg; 2021; 8():695274. PubMed ID: 34527694
[No Abstract] [Full Text] [Related]
7. Construct and Validate a Predictive Model for Surgical Site Infection after Posterior Lumbar Interbody Fusion Based on Machine Learning Algorithm.
Xiong C; Zhao R; Xu J; Liang H; Zhang C; Zhao Z; Huang T; Luo X
Comput Math Methods Med; 2022; 2022():2697841. PubMed ID: 36050996
[TBL] [Abstract][Full Text] [Related]
8. Predicting postoperative outcomes in lumbar spinal fusion: development of a machine learning model.
Schönnagel L; Caffard T; Vu-Han TL; Zhu J; Nathoo I; Finos K; Camino-Willhuber G; Tani S; Guven AE; Haffer H; Muellner M; Arzani A; Chiapparelli E; Amoroso K; Shue J; Duculan R; Pumberger M; Zippelius T; Sama AA; Cammisa FP; Girardi FP; Mancuso CA; Hughes AP
Spine J; 2024 Feb; 24(2):239-249. PubMed ID: 37866485
[TBL] [Abstract][Full Text] [Related]
9. Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.
Zhou S; Lu Z; Liu Y; Wang M; Zhou W; Cui X; Zhang J; Xiao W; Hua T; Zhu H; Yang M
Eur J Med Res; 2024 Jan; 29(1):14. PubMed ID: 38172962
[TBL] [Abstract][Full Text] [Related]
10. Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model.
Dai A; Zhou Z; Jiang F; Guo Y; Asante DO; Feng Y; Huang K; Chen C; Shi H; Si Y; Zou J
Ann Med; 2023; 55(2):2266458. PubMed ID: 37813109
[TBL] [Abstract][Full Text] [Related]
11. Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.
Shah AA; Devana SK; Lee C; Bugarin A; Lord EL; Shamie AN; Park DY; van der Schaar M; SooHoo NF
World Neurosurg; 2021 Aug; 152():e227-e234. PubMed ID: 34058366
[TBL] [Abstract][Full Text] [Related]
12. Clinical outcomes and prediction nomogram model for postoperative hemoglobin < 80 g/L in patients following primary lumbar interbody fusion surgery.
Xiong X; Liu JM; Liu ZH; Chen JW; Liu ZL
J Orthop Surg Res; 2023 Apr; 18(1):286. PubMed ID: 37038168
[TBL] [Abstract][Full Text] [Related]
13. Prediction of intraoperative red blood cell transfusion in valve replacement surgery: machine learning algorithm development based on non-anemic cohort.
Zhou R; Li Z; Liu J; Qian D; Meng X; Guan L; Sun X; Li H; Yu M
Front Cardiovasc Med; 2024; 11():1344170. PubMed ID: 38486703
[TBL] [Abstract][Full Text] [Related]
14. An explainable machine learning-based model to predict intensive care unit admission among patients with community-acquired pneumonia and connective tissue disease.
Huang D; Gong L; Wei C; Wang X; Liang Z
Respir Res; 2024 Jun; 25(1):246. PubMed ID: 38890628
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a risk prediction model for cage subsidence after instrumented posterior lumbar fusion based on machine learning: a retrospective observational cohort study.
Xiong T; Wang B; Qin W; Yang L; Ou Y
Front Med (Lausanne); 2023; 10():1196384. PubMed ID: 37547617
[TBL] [Abstract][Full Text] [Related]
16. Development of machine learning models to predict perioperative blood transfusion in hip surgery.
Zang H; Hu A; Xu X; Ren H; Xu L
BMC Med Inform Decis Mak; 2024 Jun; 24(1):158. PubMed ID: 38840126
[TBL] [Abstract][Full Text] [Related]
17. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation.
Huang J; Chen H; Deng J; Liu X; Shu T; Yin C; Duan M; Fu L; Wang K; Zeng S
Front Neurol; 2023; 14():1185447. PubMed ID: 37614971
[TBL] [Abstract][Full Text] [Related]
18. Establishment and validation of a heart failure risk prediction model for elderly patients after coronary rotational atherectomy based on machine learning.
Zhang L; Zhou X; Cao J
PeerJ; 2024; 12():e16867. PubMed ID: 38313005
[TBL] [Abstract][Full Text] [Related]
19. Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.
Pan P; Li Y; Xiao Y; Han B; Su L; Su M; Li Y; Zhang S; Jiang D; Chen X; Zhou F; Ma L; Bao P; Xie L
J Med Internet Res; 2020 Nov; 22(11):e23128. PubMed ID: 33035175
[TBL] [Abstract][Full Text] [Related]
20. Advancing Prediction of Risk of Intraoperative Massive Blood Transfusion in Liver Transplantation With Machine Learning Models. A Multicenter Retrospective Study.
Chen S; Liu LP; Wang YJ; Zhou XH; Dong H; Chen ZW; Wu J; Gui R; Zhao QY
Front Neuroinform; 2022; 16():893452. PubMed ID: 35645754
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
