155 related articles for article (PubMed ID: 38034013)
1. Development and validation of machine-learning models for the difficulty of retroperitoneal laparoscopic adrenalectomy based on radiomics.
Sun S; Yao W; Wang Y; Yue P; Guo F; Deng X; Zhang Y
Front Endocrinol (Lausanne); 2023; 14():1265790. PubMed ID: 38034013
[TBL] [Abstract][Full Text] [Related]
2. A nomogram for evaluation and analysis of difficulty in retroperitoneal laparoscopic adrenalectomy: A single-center study with prospective validation using LASSO-logistic regression.
Sun S; Wang J; Yang B; Wang Y; Yao W; Yue P; Niu X; Feng A; Zhang L; Yan L; Cheng W; Zhang Y
Front Endocrinol (Lausanne); 2022; 13():1004112. PubMed ID: 36506074
[TBL] [Abstract][Full Text] [Related]
3. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
Shan D; Wang J; Qi P; Lu J; Wang D
Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
[TBL] [Abstract][Full Text] [Related]
4. Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
Liu L; Bi B; Cao L; Gui M; Ju F
Front Endocrinol (Lausanne); 2024; 15():1320335. PubMed ID: 38481447
[TBL] [Abstract][Full Text] [Related]
5. Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer.
Yu M; Yuan Z; Li R; Shi B; Wan D; Dong X
Front Oncol; 2024; 14():1337219. PubMed ID: 38380369
[TBL] [Abstract][Full Text] [Related]
6. Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability.
Shan D; Wang S; Wang J; Lu J; Ren J; Chen J; Wang D; Qi P
Front Neurol; 2023; 14():1151326. PubMed ID: 37396779
[TBL] [Abstract][Full Text] [Related]
7. Application of machine learning model to predict osteoporosis based on abdominal computed tomography images of the psoas muscle: a retrospective study.
Huang CB; Hu JS; Tan K; Zhang W; Xu TH; Yang L
BMC Geriatr; 2022 Oct; 22(1):796. PubMed ID: 36229793
[TBL] [Abstract][Full Text] [Related]
8. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
9. Predicting the pathological invasiveness in patients with a solitary pulmonary nodule via Shapley additive explanations interpretation of a tree-based machine learning radiomics model: a multicenter study.
Zhang R; Hong M; Cai H; Liang Y; Chen X; Liu Z; Wu M; Zhou C; Bao C; Wang H; Yang S; Hu Q
Quant Imaging Med Surg; 2023 Dec; 13(12):7828-7841. PubMed ID: 38106261
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer.
Deng Z; Dong W; Xiong S; Jin D; Zhou H; Zhang L; Xie L; Deng Y; Xu R; Fan B
Front Oncol; 2023; 13():1166245. PubMed ID: 37223680
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
[TBL] [Abstract][Full Text] [Related]
14. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
15. Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study.
Xiao Y; Chen Y; Huang R; Jiang F; Zhou J; Yang T
BMC Med Res Methodol; 2024 Apr; 24(1):92. PubMed ID: 38643122
[TBL] [Abstract][Full Text] [Related]
16. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
[No Abstract] [Full Text] [Related]
17. 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]
18. Machine-learning Models Predict 30-Day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.
Abraham VM; Booth G; Geiger P; Balazs GC; Goldman A
Clin Orthop Relat Res; 2022 Nov; 480(11):2137-2145. PubMed ID: 35767804
[TBL] [Abstract][Full Text] [Related]
19. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
Front Oncol; 2022; 12():944005. PubMed ID: 36081562
[TBL] [Abstract][Full Text] [Related]
20. [Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis].
Gao X; Lin J; Wu A; Gu H; Liu X; Yin M; Zhou Z; Zhang R; Xu C; Zhu J
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Apr; 35(4):421-426. PubMed ID: 37308200
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
