845 related articles for article (PubMed ID: 33717594)
1. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.
Liu Q; Pang B; Li H; Zhang B; Liu Y; Lai L; Le W; Li J; Xia T; Zhang X; Ou C; Ma J; Li S; Guo X; Zhang S; Zhang Q; Jiang M; Zeng Q
J Thorac Dis; 2021 Feb; 13(2):1215-1229. PubMed ID: 33717594
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.
Adamidi ES; Mitsis K; Nikita KS
Comput Struct Biotechnol J; 2021; 19():2833-2850. PubMed ID: 34025952
[TBL] [Abstract][Full Text] [Related]
3. A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile.
Hong W; Zhou X; Jin S; Lu Y; Pan J; Lin Q; Yang S; Xu T; Basharat Z; Zippi M; Fiorino S; Tsukanov V; Stock S; Grottesi A; Chen Q; Pan J
Front Cell Infect Microbiol; 2022; 12():819267. PubMed ID: 35493729
[TBL] [Abstract][Full Text] [Related]
4. [Evaluation of extravascular lung water index in critically ill patients based on lung ultrasound radiomics analysis combined with machine learning].
Meng W; Zhang C; Hu J; Tang Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Oct; 35(10):1074-1079. PubMed ID: 37873713
[TBL] [Abstract][Full Text] [Related]
5. Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study.
Liu J; Chen J; Dong Y; Lou Y; Tian Y; Sun H; Jin Y; Li J; Qiu Y
J Med Internet Res; 2023 Dec; 25():e45515. PubMed ID: 38109177
[TBL] [Abstract][Full Text] [Related]
6. A machine learning approach to predicting vascular calcification risk of type 2 diabetes: A retrospective study.
Liang X; Li X; Li G; Wang B; Liu Y; Sun D; Liu L; Zhang R; Ji S; Yan W; Yu R; Gao Z; Liu X
Clin Cardiol; 2024 Apr; 47(4):e24264. PubMed ID: 38563389
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.
Afrash MR; Kazemi-Arpanahi H; Shanbehzadeh M; Nopour R; Mirbagheri E
Inform Med Unlocked; 2022; 30():100908. PubMed ID: 35280933
[TBL] [Abstract][Full Text] [Related]
9. Machine learning-assisted decision-support models to better predict patients with calculous pyonephrosis.
Liu H; Wang X; Tang K; Peng E; Xia D; Chen Z
Transl Androl Urol; 2021 Feb; 10(2):710-723. PubMed ID: 33718073
[TBL] [Abstract][Full Text] [Related]
10. CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions.
Zhang B; Ni-Jia-Ti MY; Yan R; An N; Chen L; Liu S; Chen L; Chen Q; Li M; Chen Z; You J; Dong Y; Xiong Z; Zhang S
Br J Radiol; 2021 Jun; 94(1122):20201007. PubMed ID: 33881930
[TBL] [Abstract][Full Text] [Related]
11. Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.
Wang Q; Li B; Chen K; Yu F; Su H; Hu K; Liu Z; Wu G; Yan J; Su G
ESC Heart Fail; 2021 Dec; 8(6):5363-5371. PubMed ID: 34585531
[TBL] [Abstract][Full Text] [Related]
12. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
Du P; Liu X; Wu X; Chen J; Cao A; Geng D
Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
[TBL] [Abstract][Full Text] [Related]
13. Surgical Methods and Social Factors Are Associated With Long-Term Survival in Follicular Thyroid Carcinoma: Construction and Validation of a Prognostic Model Based on Machine Learning Algorithms.
Mao Y; Huang Y; Xu L; Liang J; Lin W; Huang H; Li L; Wen J; Chen G
Front Oncol; 2022; 12():816427. PubMed ID: 35800057
[TBL] [Abstract][Full Text] [Related]
14. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
15. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
Zakariaee SS; Naderi N; Ebrahimi M; Kazemi-Arpanahi H
Sci Rep; 2023 Jul; 13(1):11343. PubMed ID: 37443373
[TBL] [Abstract][Full Text] [Related]
16. Identification of risk factors for infection after mitral valve surgery through machine learning approaches.
Zhang N; Fan K; Ji H; Ma X; Wu J; Huang Y; Wang X; Gui R; Chen B; Zhang H; Zhang Z; Zhang X; Gong Z; Wang Y
Front Cardiovasc Med; 2023; 10():1050698. PubMed ID: 37383697
[TBL] [Abstract][Full Text] [Related]
17. Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis.
Zeleke AJ; Palumbo P; Tubertini P; Miglio R; Chiari L
Front Artif Intell; 2023; 6():1179226. PubMed ID: 37588696
[TBL] [Abstract][Full Text] [Related]
18. Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning.
Liu C; Wang X; Liu C; Sun Q; Peng W
Biomed Eng Online; 2020 Aug; 19(1):66. PubMed ID: 32814568
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a machine learning model for bone metastasis in prostate cancer: Based on inflammatory and nutritional indicators.
Jin T; An J; Wu W; Zhou F
Urology; 2024 May; ():. PubMed ID: 38825085
[TBL] [Abstract][Full Text] [Related]
20. Comparing different machine learning techniques for predicting COVID-19 severity.
Xiong Y; Ma Y; Ruan L; Li D; Lu C; Huang L;
Infect Dis Poverty; 2022 Feb; 11(1):19. PubMed ID: 35177120
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]