644 related articles for article (PubMed ID: 30412613)
1. Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.
Rau CS; Kuo PJ; Chien PC; Huang CY; Hsieh HY; Hsieh CH
PLoS One; 2018; 13(11):e0207192. PubMed ID: 30412613
[TBL] [Abstract][Full Text] [Related]
2. Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach.
Abujaber A; Fadlalla A; Gammoh D; Abdelrahman H; Mollazehi M; El-Menyar A
BMC Med Inform Decis Mak; 2020 Dec; 20(1):336. PubMed ID: 33317528
[TBL] [Abstract][Full Text] [Related]
3. Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach.
Abujaber A; Fadlalla A; Gammoh D; Abdelrahman H; Mollazehi M; El-Menyar A
PLoS One; 2020; 15(7):e0235231. PubMed ID: 32639971
[TBL] [Abstract][Full Text] [Related]
4. Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan.
Kuo PJ; Wu SC; Chien PC; Rau CS; Chen YC; Hsieh HY; Hsieh CH
BMJ Open; 2018 Jan; 8(1):e018252. PubMed ID: 29306885
[TBL] [Abstract][Full Text] [Related]
5. Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach.
Abujaber A; Fadlalla A; Gammoh D; Abdelrahman H; Mollazehi M; El-Menyar A
Scand J Trauma Resusc Emerg Med; 2020 May; 28(1):44. PubMed ID: 32460867
[TBL] [Abstract][Full Text] [Related]
6. Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.
Feng JZ; Wang Y; Peng J; Sun MW; Zeng J; Jiang H
J Crit Care; 2019 Dec; 54():110-116. PubMed ID: 31408805
[TBL] [Abstract][Full Text] [Related]
7. Predicting long-term outcome after traumatic brain injury using repeated measurements of Glasgow Coma Scale and data mining methods.
Lu HY; Li TC; Tu YK; Tsai JC; Lai HS; Kuo LT
J Med Syst; 2015 Feb; 39(2):14. PubMed ID: 25637541
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.
Matsuo K; Aihara H; Nakai T; Morishita A; Tohma Y; Kohmura E
J Neurotrauma; 2020 Jan; 37(1):202-210. PubMed ID: 31359814
[TBL] [Abstract][Full Text] [Related]
9. Machine Learning Models of Survival Prediction in Trauma Patients.
Rau CS; Wu SC; Chuang JF; Huang CY; Liu HT; Chien PC; Hsieh CH
J Clin Med; 2019 Jun; 8(6):. PubMed ID: 31195670
[TBL] [Abstract][Full Text] [Related]
10. Modern modeling techniques had limited external validity in predicting mortality from traumatic brain injury.
van der Ploeg T; Nieboer D; Steyerberg EW
J Clin Epidemiol; 2016 Oct; 78():83-89. PubMed ID: 26987507
[TBL] [Abstract][Full Text] [Related]
11. Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches.
Shariati MM; Eslami S; Shoeibi N; Eslampoor A; Sedaghat M; Gharaei H; Zarei-Ghanavati S; Derakhshan A; Abrishami M; Abrishami M; Hosseini SM; Rad SS; Astaneh MA; Farimani RM
BMC Med Inform Decis Mak; 2024 May; 24(1):131. PubMed ID: 38773484
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Machine learning models in breast cancer survival prediction.
Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
[TBL] [Abstract][Full Text] [Related]
14. Prediction of different types of liver diseases using rule based classification model.
Kumar Y; Sahoo G
Technol Health Care; 2013; 21(5):417-32. PubMed ID: 23963359
[TBL] [Abstract][Full Text] [Related]
15. Application of machine learning to predict the outcome of pediatric traumatic brain injury.
Tunthanathip T; Oearsakul T
Chin J Traumatol; 2021 Nov; 24(6):350-355. PubMed ID: 34284922
[TBL] [Abstract][Full Text] [Related]
16. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Maniruzzaman M; Jahanur Rahman M; Ahammed B; Abedin MM; Suri HS; Biswas M; El-Baz A; Bangeas P; Tsoulfas G; Suri JS
Comput Methods Programs Biomed; 2019 Jul; 176():173-193. PubMed ID: 31200905
[TBL] [Abstract][Full Text] [Related]
17. Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients. A Hybrid Method of Decision Tree and Neural Network.
Pourahmad S; Hafizi-Rastani I; Khalili H; Paydar S
Methods Inf Med; 2016 Oct; 55(5):440-449. PubMed ID: 27492342
[TBL] [Abstract][Full Text] [Related]
18. Development of Machine Learning Models for Prediction of Smoking Cessation Outcome.
Lai CC; Huang WH; Chang BC; Hwang LC
Int J Environ Res Public Health; 2021 Mar; 18(5):. PubMed ID: 33807561
[TBL] [Abstract][Full Text] [Related]
19. Machine learning applications for the prediction of surgical site infection in neurological operations.
Tunthanathip T; Sae-Heng S; Oearsakul T; Sakarunchai I; Kaewborisutsakul A; Taweesomboonyat C
Neurosurg Focus; 2019 Aug; 47(2):E7. PubMed ID: 31370028
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning Model to Predict Ventilator Associated Pneumonia in patients with Traumatic Brain Injury: The C.5 Decision Tree Approach.
Abujaber A; Fadlalla A; Gammoh D; Al-Thani H; El-Menyar A
Brain Inj; 2021 Jul; 35(9):1095-1102. PubMed ID: 34357830
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
