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 *

407 related articles for article (PubMed ID: 35700192)

  • 1. Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data.
    Zafar A; Attia Z; Tesfaye M; Walelign S; Wordofa M; Abera D; Desta K; Tsegaye A; Ay A; Taye B
    PLoS Negl Trop Dis; 2022 Jun; 16(6):e0010517. PubMed ID: 35700192
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach.
    Tran V; Saad T; Tesfaye M; Walelign S; Wordofa M; Abera D; Desta K; Tsegaye A; Ay A; Taye B
    BMC Infect Dis; 2022 Jul; 22(1):655. PubMed ID: 35902812
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.
    He J; Li J; Jiang S; Cheng W; Jiang J; Xu Y; Yang J; Zhou X; Chai C; Wu C
    Front Public Health; 2022; 10():967681. PubMed ID: 36091522
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.
    Tian L; Zhang D; Bao S; Nie P; Hao D; Liu Y; Zhang J; Wang H
    Clin Radiol; 2021 Feb; 76(2):158.e19-158.e25. PubMed ID: 33293024
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Stroke Prediction with Machine Learning Methods among Older Chinese.
    Wu Y; Fang Y
    Int J Environ Res Public Health; 2020 Mar; 17(6):. PubMed ID: 32178250
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
    Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
    Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Empowering child health: Harnessing machine learning to predict acute respiratory infections in Ethiopian under-fives using demographic and health survey insights.
    Kalayou MH; Kassaw AK; Shiferaw KB
    BMC Infect Dis; 2024 Mar; 24(1):338. PubMed ID: 38515014
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessing Children's Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach.
    Brons A; de Schipper A; Mironcika S; Toussaint H; Schouten B; Bakkes S; Kröse B
    J Med Internet Res; 2021 Apr; 23(4):e24237. PubMed ID: 33885371
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China.
    Wang Y; Wu X; Chen Z; Ren F; Feng L; Du Q
    Int J Environ Res Public Health; 2019 Jan; 16(3):. PubMed ID: 30696105
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms.
    Rois R; Ray M; Rahman A; Roy SK
    J Health Popul Nutr; 2021 Nov; 40(1):50. PubMed ID: 34838133
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.
    Woodman RJ; Bryant K; Sorich MJ; Pilotto A; Mangoni AA
    J Med Internet Res; 2021 Jun; 23(6):e26139. PubMed ID: 34152274
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture.
    Kishore A; Venkataramana L; Prasad DVV; Mohan A; Jha B
    Med Biol Eng Comput; 2023 Nov; 61(11):2895-2919. PubMed ID: 37530887
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning model for predicting malaria using clinical information.
    Lee YW; Choi JW; Shin EH
    Comput Biol Med; 2021 Feb; 129():104151. PubMed ID: 33290932
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Discrimination between healthy participants and people with panic disorder based on polygenic scores for psychiatric disorders and for intermediate phenotypes using machine learning.
    Ohi K; Tanaka Y; Otowa T; Shimada M; Kaiya H; Nishimura F; Sasaki T; Tanii H; Shioiri T; Hara T
    Aust N Z J Psychiatry; 2024 Jul; 58(7):603-614. PubMed ID: 38581251
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Machine learning based models for prediction of subtype diagnosis of primary aldosteronism using blood test.
    Kaneko H; Umakoshi H; Ogata M; Wada N; Iwahashi N; Fukumoto T; Yokomoto-Umakoshi M; Nakano Y; Matsuda Y; Miyazawa T; Sakamoto R; Ogawa Y
    Sci Rep; 2021 May; 11(1):9140. PubMed ID: 33947886
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Histologic subtype classification of non-small cell lung cancer using PET/CT images.
    Han Y; Ma Y; Wu Z; Zhang F; Zheng D; Liu X; Tao L; Liang Z; Yang Z; Li X; Huang J; Guo X
    Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):350-360. PubMed ID: 32776232
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
    Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
    BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
    Dinh A; Miertschin S; Young A; Mohanty SD
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Oversampling methods for machine learning model data training to improve model capabilities to predict the presence of Escherichia coli MG1655 in spinach wash water.
    Stanosheck JA; Castell-Perez ME; Moreira RG; King MD; Castillo A
    J Food Sci; 2024 Jan; 89(1):150-173. PubMed ID: 38051016
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.