173 related articles for article (PubMed ID: 38321428)
1. Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms.
Rahimi M; Afrash MR; Shadnia S; Mostafazadeh B; Evini PET; Bardsiri MS; Ramezani M
BMC Med Inform Decis Mak; 2024 Feb; 24(1):38. PubMed ID: 38321428
[TBL] [Abstract][Full Text] [Related]
2. [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]
3. Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
Afrash MR; Mirbagheri E; Mashoufi M; Kazemi-Arpanahi H
BMC Med Inform Decis Mak; 2023 Apr; 23(1):54. PubMed ID: 37024885
[TBL] [Abstract][Full Text] [Related]
4. Prediction of Acute Kidney Injury after Extracorporeal Cardiac Surgery (CSA-AKI) by Machine Learning Algorithms.
Tong Y; Niu X; Liu F
Heart Surg Forum; 2023 Oct; 26(5):E537-E551. PubMed ID: 37920093
[TBL] [Abstract][Full Text] [Related]
5. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
Ye Z; An S; Gao Y; Xie E; Zhao X; Guo Z; Li Y; Shen N; Ren J; Zheng J
Eur J Med Res; 2023 Jan; 28(1):33. PubMed ID: 36653875
[TBL] [Abstract][Full Text] [Related]
6. Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study.
Li F; Chen A; Li Z; Gu L; Pan Q; Wang P; Fan Y; Feng J
Front Neurol; 2023; 14():1139096. PubMed ID: 37077571
[TBL] [Abstract][Full Text] [Related]
7. Prediction of acute organophosphate poisoning severity using machine learning techniques.
Hosseini SM; Rahimi M; Afrash MR; Ziaeefar P; Yousefzadeh P; Pashapour S; Evini PET; Mostafazadeh B; Shadnia S
Toxicology; 2023 Mar; 486():153431. PubMed ID: 36682461
[TBL] [Abstract][Full Text] [Related]
8. Prediction of Acute Respiratory Distress Syndrome in Traumatic Brain Injury Patients Based on Machine Learning Algorithms.
Wang R; Cai L; Zhang J; He M; Xu J
Medicina (Kaunas); 2023 Jan; 59(1):. PubMed ID: 36676795
[No Abstract] [Full Text] [Related]
9. 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]
10. Development and Validation of an XGBoost-Algorithm-Powered Survival Model for Predicting In-Hospital Mortality Based on 545,388 Isolated Severe Traumatic Brain Injury Patients from the TQIP Database.
Cao Y; Forssten MP; Sarani B; Montgomery S; Mohseni S
J Pers Med; 2023 Sep; 13(9):. PubMed ID: 37763168
[TBL] [Abstract][Full Text] [Related]
11. Prediction of acute methanol poisoning prognosis using machine learning techniques.
Rahimi M; Hosseini SM; Mohtarami SA; Mostafazadeh B; Evini PET; Fathy M; Kazemi A; Khani S; Mortazavi SM; Soheili A; Vahabi SM; Shadnia S
Toxicology; 2024 May; 504():153770. PubMed ID: 38458534
[TBL] [Abstract][Full Text] [Related]
12. Predicting hospitalization following psychiatric crisis care using machine learning.
Blankers M; van der Post LFM; Dekker JJM
BMC Med Inform Decis Mak; 2020 Dec; 20(1):332. PubMed ID: 33302948
[TBL] [Abstract][Full Text] [Related]
13. Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy.
Liu Y; Song C; Tian Z; Shen W
Int J Gen Med; 2023; 16():1909-1925. PubMed ID: 37228741
[TBL] [Abstract][Full Text] [Related]
14. Does the ICU Requirement Score allow the poisoned patient to be safely managed without admission to the intensive care unit? - a validation cohort study.
El Gharbi F; El Bèze N; Jaffal K; Sutterlin L; Mora P; Malissin I; Deye N; Voicu S; Mégarbane B
Clin Toxicol (Phila); 2022 Mar; 60(3):298-303. PubMed ID: 34378997
[TBL] [Abstract][Full Text] [Related]
15. Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?
El-Galaly A; Grazal C; Kappel A; Nielsen PT; Jensen SL; Forsberg JA
Clin Orthop Relat Res; 2020 Sep; 478(9):2088-2101. PubMed ID: 32667760
[TBL] [Abstract][Full Text] [Related]
16. Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation.
Lu YT; Chao HJ; Chiang YC; Chen HY
J Med Internet Res; 2023 Feb; 25():e43734. PubMed ID: 36749620
[TBL] [Abstract][Full Text] [Related]
17. Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.
Hassanzadeh R; Farhadian M; Rafieemehr H
BMC Med Res Methodol; 2023 Apr; 23(1):101. PubMed ID: 37087425
[TBL] [Abstract][Full Text] [Related]
18. Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.
Liu Y; Shen W; Tian Z
Clin Interv Aging; 2023; 18():157-168. PubMed ID: 36789284
[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 acute kidney injury in patients with sepsis.
Yue S; Li S; Huang X; Liu J; Hou X; Zhao Y; Niu D; Wang Y; Tan W; Wu J
J Transl Med; 2022 May; 20(1):215. PubMed ID: 35562803
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
