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 *

129 related articles for article (PubMed ID: 35172091)

  • 21. Use of artificial neural networks to predict surgical satisfaction in patients with lumbar spinal canal stenosis: clinical article.
    Azimi P; Benzel EC; Shahzadi S; Azhari S; Mohammadi HR
    J Neurosurg Spine; 2014 Mar; 20(3):300-5. PubMed ID: 24438428
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. A Comparison of Logistic Regression Model and Artificial Neural Networks in Predicting of Student's Academic Failure.
    Teshnizi SH; Ayatollahi SM
    Acta Inform Med; 2015 Oct; 23(5):296-300. PubMed ID: 26635438
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Development and evaluation of a simple and effective prediction approach for identifying those at high risk of dyslipidemia in rural adult residents.
    Wang CJ; Li YQ; Wang L; Li LL; Guo YR; Zhang LY; Zhang MX; Bie RH
    PLoS One; 2012; 7(8):e43834. PubMed ID: 22952780
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Can we improve the prediction of stone-free status after extracorporeal shock wave lithotripsy for ureteral stones? A neural network or a statistical model?
    Gomha MA; Sheir KZ; Showky S; Abdel-Khalek M; Mokhtar AA; Madbouly K
    J Urol; 2004 Jul; 172(1):175-9. PubMed ID: 15201765
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods.
    Decruyenaere A; Decruyenaere P; Peeters P; Vermassen F; Dhaene T; Couckuyt I
    BMC Med Inform Decis Mak; 2015 Oct; 15():83. PubMed ID: 26466993
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Model to predict prostate biopsy outcome in large screening population with independent validation in referral setting.
    Porter CR; Gamito EJ; Crawford ED; Bartsch G; Presti JC; Tewari A; O'Donnell C
    Urology; 2005 May; 65(5):937-41. PubMed ID: 15882727
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Prediction model comparison for gestational diabetes mellitus with macrosomia based on risk factor investigation.
    Kang X; Liang Y; Wang S; Hua T; Cui J; Zhang M; Ding Y; Chen L; Xiao J
    J Matern Fetal Neonatal Med; 2021 Aug; 34(15):2481-2490. PubMed ID: 31575301
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Application of Artificial Neural Network to Preoperative
    Taralli S; Scolozzi V; Boldrini L; Lenkowicz J; Pelliccioni A; Lorusso M; Attieh O; Ricciardi S; Carleo F; Cardillo G; Calcagni ML
    Front Med (Lausanne); 2021; 8():664529. PubMed ID: 33968968
    [No Abstract]   [Full Text] [Related]  

  • 30. 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]  

  • 31. Quantitative computed tomography imaging-based classification of cement dust-exposed subjects with an artificial neural network technique.
    Kim T; Kim WJ; Lee CH; Chae KJ; Bak SH; Kwon SO; Jin GY; Park EK; Choi S
    Comput Biol Med; 2022 Feb; 141():105162. PubMed ID: 34973583
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Prediction of major adverse cardiac events in the emergency department using an artificial neural network with a systematic grid search.
    Raheem A; Waheed S; Karim M; Khan NU; Jawed R
    Int J Emerg Med; 2024 Jan; 17(1):4. PubMed ID: 38178007
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Machine Learning Approaches to Predict Chronic Lower Back Pain in People Aged over 50 Years.
    Shim JG; Ryu KH; Cho EA; Ahn JH; Kim HK; Lee YJ; Lee SH
    Medicina (Kaunas); 2021 Nov; 57(11):. PubMed ID: 34833448
    [No Abstract]   [Full Text] [Related]  

  • 34. Development and validation of a predictive model for the diagnosis of solid solitary pulmonary nodules using data mining methods.
    Xiang Y; Sun Y; Liu Y; Han B; Chen Q; Ye X; Zhu L; Gao W; Fang W
    J Thorac Dis; 2019 Mar; 11(3):950-958. PubMed ID: 31019785
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Use of artificial neural networks to decision making in patients with lumbar spinal canal stenosis.
    Azimi P; Mohammadi HR; Benzel EC; Shahzadi S; Azhari S
    J Neurosurg Sci; 2017 Dec; 61(6):603-611. PubMed ID: 25384605
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Classifying Schizophrenia Cases by Artificial Neural Network Using Japanese Web-Based Survey Data: Case-Control Study.
    He Y; Matsunaga M; Li Y; Kishi T; Tanihara S; Iwata N; Tabuchi T; Ota A
    JMIR Form Res; 2023 Nov; 7():e50193. PubMed ID: 37966882
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method.
    Li S; Lin Y; Zhu T; Fan M; Xu S; Qiu W; Chen C; Li L; Wang Y; Yan J; Wong J; Naing L; Xu S
    Neural Comput Appl; 2023; 35(18):13037-13046. PubMed ID: 33424133
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning Study.
    Hur S; Min JY; Yoo J; Kim K; Chung CR; Dykes PC; Cha WC
    J Med Internet Res; 2021 Aug; 23(8):e23508. PubMed ID: 34382940
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of prediction model for cardiovascular autonomic dysfunction using artificial neural network and logistic regression analysis.
    Tang ZH; Liu J; Zeng F; Li Z; Yu X; Zhou L
    PLoS One; 2013; 8(8):e70571. PubMed ID: 23940593
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Evaluating the High Risk Groups for Suicide: A Comparison of Logistic Regression, Support Vector Machine, Decision Tree and Artificial Neural Network.
    Amini P; Ahmadinia H; Poorolajal J; Moqaddasi Amiri M
    Iran J Public Health; 2016 Sep; 45(9):1179-1187. PubMed ID: 27957463
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.