These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

168 related articles for article (PubMed ID: 39212592)

  • 1. Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study.
    Zhou H; Fang C; Pan Y
    JMIR Hum Factors; 2024 Aug; 11():e62866. PubMed ID: 39212592
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study.
    Fang C; Pan Y; Zhao L; Niu Z; Guo Q; Zhao B
    J Med Internet Res; 2022 Dec; 24(12):e41819. PubMed ID: 36485032
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction of a predictive model based on MIV-SVR for prognosis and length of stay in patients with traumatic brain injury: Retrospective cohort study.
    Pan Y; Fang C; Zhu X; Wan J
    Digit Health; 2023; 9():20552076231217814. PubMed ID: 38053736
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of predictive model for the neurological deterioration among mild traumatic brain injury patients using machine learning algorithms.
    Shan B; Wang R; Xu J
    Neurosurg Rev; 2024 Aug; 47(1):500. PubMed ID: 39196460
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting the Severity and Discharge Prognosis of Traumatic Brain Injury Based on Intracranial Pressure Data Using Machine Learning Algorithms.
    Zhu J; Shan Y; Li Y; Wu X; Gao G
    World Neurosurg; 2024 May; 185():e1348-e1360. PubMed ID: 38519020
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning to Predict Three Types of Outcomes After Traumatic Brain Injury Using Data at Admission: A Multi-Center Study for Development and Validation.
    Matsuo K; Aihara H; Hara Y; Morishita A; Sakagami Y; Miyake S; Tatsumi S; Ishihara S; Tohma Y; Yamashita H; Sasayama T
    J Neurotrauma; 2023 Aug; 40(15-16):1694-1706. PubMed ID: 37029810
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Machine learning algorithms for improved prediction of in-hospital outcomes after moderate-to-severe traumatic brain injury: a Chinese retrospective cohort study.
    Zhang Z; Wang SJ; Chen K; Yin AA; Lin W; He YL
    Acta Neurochir (Wien); 2023 Aug; 165(8):2237-2247. PubMed ID: 37382689
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Mortality Prediction in Severe Traumatic Brain Injury Using Traditional and Machine Learning Algorithms.
    Wu X; Sun Y; Xu X; Steyerberg EW; Helmrich IRAR; Lecky F; Guo J; Li X; Feng J; Mao Q; Xie G; Maas AIR; Gao G; Jiang J
    J Neurotrauma; 2023 Jul; 40(13-14):1366-1375. PubMed ID: 37062757
    [No Abstract]   [Full Text] [Related]  

  • 11. Prediction of in-hospital hypokalemia using machine learning and first hospitalization day records in patients with traumatic brain injury.
    Zhou Z; Huang C; Fu P; Huang H; Zhang Q; Wu X; Yu Q; Sun Y
    CNS Neurosci Ther; 2023 Jan; 29(1):181-191. PubMed ID: 36258296
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting conversion of ambulatory ACDF patients to inpatient: a machine learning approach.
    Schönnagel L; Tani S; Vu-Han TL; Zhu J; Camino-Willhuber G; Dodo Y; Caffard T; Chiapparelli E; Oezel L; Shue J; Zelenty WD; Lebl DR; Cammisa FP; Girardi FP; Sokunbi G; Hughes AP; Sama AA
    Spine J; 2024 Apr; 24(4):563-571. PubMed ID: 37980960
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive model for early functional outcomes following acute care after traumatic brain injuries: A machine learning-based development and validation study.
    Zhang M; Guo M; Wang Z; Liu H; Bai X; Cui S; Guo X; Gao L; Gao L; Liao A; Xing B; Wang Y
    Injury; 2023 Mar; 54(3):896-903. PubMed ID: 36732148
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury.
    Gravesteijn BY; Nieboer D; Ercole A; Lingsma HF; Nelson D; van Calster B; Steyerberg EW;
    J Clin Epidemiol; 2020 Jun; 122():95-107. PubMed ID: 32201256
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep convolutional neural network and IoT technology for healthcare.
    Wassan S; Dongyan H; Suhail B; Jhanjhi NZ; Xiao G; Ahmed S; Murugesan RK
    Digit Health; 2024; 10():20552076231220123. PubMed ID: 38250147
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injury.
    Arefan D; Pease M; Eagle SR; Okonkwo DO; Wu S
    Neurosurg Focus; 2023 Jun; 54(6):E14. PubMed ID: 37552699
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries.
    Ji SY; Smith R; Huynh T; Najarian K
    BMC Med Inform Decis Mak; 2009 Jan; 9():2. PubMed ID: 19144188
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of machine learning algorithms to identify people with low bone density.
    Xu R; Chen Y; Yao Z; Wu W; Cui J; Wang R; Diao Y; Jin C; Hong Z; Li X
    Front Public Health; 2024; 12():1347219. PubMed ID: 38726233
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning algorithms for predicting COVID-19 mortality in Ethiopia.
    Alie MS; Negesse Y; Kindie K; Merawi DS
    BMC Public Health; 2024 Jun; 24(1):1728. PubMed ID: 38943093
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.