270 related articles for article (PubMed ID: 37644543)
1. Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment.
Ma FQ; He C; Yang HR; Hu ZW; Mao HR; Fan CY; Qi Y; Zhang JX; Xu B
BMC Med Inform Decis Mak; 2023 Aug; 23(1):169. PubMed ID: 37644543
[TBL] [Abstract][Full Text] [Related]
2. Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers.
Zhang G; Shao F; Yuan W; Wu J; Qi X; Gao J; Shao R; Tang Z; Wang T
Eur J Med Res; 2024 Mar; 29(1):156. PubMed ID: 38448999
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission.
Hu C; Li L; Li Y; Wang F; Hu B; Peng Z
Infect Dis Ther; 2022 Aug; 11(4):1695-1713. PubMed ID: 35835943
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study.
Sang S; Sun R; Coquet J; Carmichael H; Seto T; Hernandez-Boussard T
J Med Internet Res; 2021 Feb; 23(2):e23026. PubMed ID: 33534724
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Interpretable prediction of mortality in liver transplant recipients based on machine learning.
Zhang X; Gavaldà R; Baixeries J
Comput Biol Med; 2022 Dec; 151(Pt A):106188. PubMed ID: 36306583
[TBL] [Abstract][Full Text] [Related]
13. Interpretable Machine Learning for Early Prediction of Prognosis in Sepsis: A Discovery and Validation Study.
Hu C; Li L; Huang W; Wu T; Xu Q; Liu J; Hu B
Infect Dis Ther; 2022 Jun; 11(3):1117-1132. PubMed ID: 35399146
[TBL] [Abstract][Full Text] [Related]
14. Interpretable generalized neural additive models for mortality prediction of COVID-19 hospitalized patients in Hamadan, Iran.
Moslehi S; Mahjub H; Farhadian M; Soltanian AR; Mamani M
BMC Med Res Methodol; 2022 Dec; 22(1):339. PubMed ID: 36585627
[TBL] [Abstract][Full Text] [Related]
15. [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]
16. 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]
17. 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]
18. Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up.
Dai C; Fan Y; Li Y; Bao X; Li Y; Su M; Yao Y; Deng K; Xing B; Feng F; Feng M; Wang R
Front Endocrinol (Lausanne); 2020; 11():643. PubMed ID: 33042013
[No Abstract] [Full Text] [Related]
19. Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study.
Han Y; Wang S
Front Public Health; 2023; 11():1271595. PubMed ID: 38026309
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China.
Shi M; Lin J; Wei W; Qin Y; Meng S; Chen X; Li Y; Chen R; Yuan Z; Qin Y; Huang J; Liang B; Liao Y; Ye L; Liang H; Xie Z; Jiang J
PLoS Negl Trop Dis; 2022 May; 16(5):e0010388. PubMed ID: 35507586
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
