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 *

664 related articles for article (PubMed ID: 30415712)

  • 1. An improved support vector machine-based diabetic readmission prediction.
    Cui S; Wang D; Wang Y; Yu PW; Jin Y
    Comput Methods Programs Biomed; 2018 Nov; 166():123-135. PubMed ID: 30415712
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting 30-day Hospital Readmission with Publicly Available Administrative Database. A Conditional Logistic Regression Modeling Approach.
    Zhu K; Lou Z; Zhou J; Ballester N; Kong N; Parikh P
    Methods Inf Med; 2015; 54(6):560-7. PubMed ID: 26548400
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.
    Kamkar I; Gupta SK; Phung D; Venkatesh S
    J Biomed Inform; 2015 Feb; 53():277-90. PubMed ID: 25500636
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Seminal quality prediction using data mining methods.
    Sahoo AJ; Kumar Y
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Comparison of the predictive performance of Logistic regression, BP neural network and support vector machine model for the risk of acute exacerbation of readmission in elderly patients with chronic obstructive pulmonary disease within 30 days].
    Zhang R; Chang Y; Zhang X; Lu L; Ding L; Lu H
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Aug; 34(8):819-824. PubMed ID: 36177924
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust feature selection to predict tumor treatment outcome.
    Mi H; Petitjean C; Dubray B; Vera P; Ruan S
    Artif Intell Med; 2015 Jul; 64(3):195-204. PubMed ID: 26303106
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods.
    Cho BH; Yu H; Kim KW; Kim TH; Kim IY; Kim SI
    Artif Intell Med; 2008 Jan; 42(1):37-53. PubMed ID: 17997291
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.
    Golpour P; Ghayour-Mobarhan M; Saki A; Esmaily H; Taghipour A; Tajfard M; Ghazizadeh H; Moohebati M; Ferns GA
    Int J Environ Res Public Health; 2020 Sep; 17(18):. PubMed ID: 32899733
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting readmission risk with institution-specific prediction models.
    Yu S; Farooq F; van Esbroeck A; Fung G; Anand V; Krishnapuram B
    Artif Intell Med; 2015 Oct; 65(2):89-96. PubMed ID: 26363683
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients.
    Welvaars K; van den Bekerom MPJ; Doornberg JN; van Haarst EP;
    BMC Med Inform Decis Mak; 2023 Jun; 23(1):108. PubMed ID: 37312177
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predictive models for hospital readmission risk: A systematic review of methods.
    Artetxe A; Beristain A; Graña M
    Comput Methods Programs Biomed; 2018 Oct; 164():49-64. PubMed ID: 30195431
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory.
    Lin YW; Zhou Y; Faghri F; Shaw MJ; Campbell RH
    PLoS One; 2019; 14(7):e0218942. PubMed ID: 31283759
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fetal health status prediction based on maternal clinical history using machine learning techniques.
    Akbulut A; Ertugrul E; Topcu V
    Comput Methods Programs Biomed; 2018 Sep; 163():87-100. PubMed ID: 30119860
    [TBL] [Abstract][Full Text] [Related]  

  • 14. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.
    Shameer K; Johnson KW; Yahi A; Miotto R; Li LI; Ricks D; Jebakaran J; Kovatch P; Sengupta PP; Gelijns S; Moskovitz A; Darrow B; David DL; Kasarskis A; Tatonetti NP; Pinney S; Dudley JT
    Pac Symp Biocomput; 2017; 22():276-287. PubMed ID: 27896982
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning Readmission Risk Modeling: A Pediatric Case Study.
    Wolff P; Graña M; Ríos SA; Yarza MB
    Biomed Res Int; 2019; 2019():8532892. PubMed ID: 31139655
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnosis of Acute Coronary Syndrome with a Support Vector Machine.
    Berikol GB; Yildiz O; Özcan IT
    J Med Syst; 2016 Apr; 40(4):84. PubMed ID: 26815338
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of machine learning techniques to predict unplanned readmission following total shoulder arthroplasty.
    Arvind V; London DA; Cirino C; Keswani A; Cagle PJ
    J Shoulder Elbow Surg; 2021 Feb; 30(2):e50-e59. PubMed ID: 32868011
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A novel method for predicting kidney stone type using ensemble learning.
    Kazemi Y; Mirroshandel SA
    Artif Intell Med; 2018 Jan; 84():117-126. PubMed ID: 29241659
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Prediction of Human Abdominal Adiposity Based on the Combination of a Particle Swarm Algorithm and Support Vector Machine.
    Gao X; Xie W; Chen S; Yang J; Chen B
    Int J Environ Res Public Health; 2020 Feb; 17(3):. PubMed ID: 32050578
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 34.