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 *

136 related articles for article (PubMed ID: 29743630)

  • 1. A machine learning model with human cognitive biases capable of learning from small and biased datasets.
    Taniguchi H; Sato H; Shirakawa T
    Sci Rep; 2018 May; 8(1):7397. PubMed ID: 29743630
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery.
    Lane TR; Foil DH; Minerali E; Urbina F; Zorn KM; Ekins S
    Mol Pharm; 2021 Jan; 18(1):403-415. PubMed ID: 33325717
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Architectures and accuracy of artificial neural network for disease classification from omics data.
    Yu H; Samuels DC; Zhao YY; Guo Y
    BMC Genomics; 2019 Mar; 20(1):167. PubMed ID: 30832569
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models.
    Wang M; Greenberg M; Forkert ND; Chekouo T; Afriyie G; Ismail Z; Smith EE; Sajobi TT
    BMC Med Res Methodol; 2022 Nov; 22(1):284. PubMed ID: 36324086
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting the consequences of accidents involving dangerous substances using machine learning.
    Chebila M
    Ecotoxicol Environ Saf; 2021 Jan; 208():111470. PubMed ID: 33091772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
    Khalid H; Khan A; Zahid Khan M; Mehmood G; Shuaib Qureshi M
    Comput Intell Neurosci; 2023; 2023():9266889. PubMed ID: 36959840
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The risk of racial bias while tracking influenza-related content on social media using machine learning.
    Lwowski B; Rios A
    J Am Med Inform Assoc; 2021 Mar; 28(4):839-849. PubMed ID: 33484133
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.
    Mendez KM; Reinke SN; Broadhurst DI
    Metabolomics; 2019 Nov; 15(12):150. PubMed ID: 31728648
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning in medicine: a practical introduction.
    Sidey-Gibbons JAM; Sidey-Gibbons CJ
    BMC Med Res Methodol; 2019 Mar; 19(1):64. PubMed ID: 30890124
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of machine learning approaches for radioisotope identification using NaI(TI) gamma-ray spectrum.
    Qi S; Zhao W; Chen Y; Chen W; Li J; Zhao H; Xiao W; Ai X; Zhang K; Wang S
    Appl Radiat Isot; 2022 Aug; 186():110212. PubMed ID: 35569263
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling.
    Tuladhar A; Gill S; Ismail Z; Forkert ND;
    J Biomed Inform; 2020 Jun; 106():103424. PubMed ID: 32335226
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
    Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
    Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.
    Stylianou N; Akbarov A; Kontopantelis E; Buchan I; Dunn KW
    Burns; 2015 Aug; 41(5):925-34. PubMed ID: 25931158
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.
    Cha GW; Moon HJ; Kim YM; Hong WH; Hwang JH; Park WJ; Kim YC
    Int J Environ Res Public Health; 2020 Sep; 17(19):. PubMed ID: 32987874
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
    Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O
    Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Word2Vec inversion and traditional text classifiers for phenotyping lupus.
    Turner CA; Jacobs AD; Marques CK; Oates JC; Kamen DL; Anderson PE; Obeid JS
    BMC Med Inform Decis Mak; 2017 Aug; 17(1):126. PubMed ID: 28830409
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.
    Ford E; Rooney P; Oliver S; Hoile R; Hurley P; Banerjee S; van Marwijk H; Cassell J
    BMC Med Inform Decis Mak; 2019 Dec; 19(1):248. PubMed ID: 31791325
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network.
    Kilicarslan S; Adem K; Celik M
    Med Hypotheses; 2020 Apr; 137():109577. PubMed ID: 31991364
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying mislabelled samples: Machine learning models exceed human performance.
    Farrell CJ
    Ann Clin Biochem; 2021 Nov; 58(6):650-652. PubMed ID: 34210147
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine Learning Methods in Computational Toxicology.
    Baskin II
    Methods Mol Biol; 2018; 1800():119-139. PubMed ID: 29934890
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.