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 *

464 related articles for article (PubMed ID: 37024885)

  • 1. Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
    Afrash MR; Mirbagheri E; Mashoufi M; Kazemi-Arpanahi H
    BMC Med Inform Decis Mak; 2023 Apr; 23(1):54. PubMed ID: 37024885
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Design and Development of an Intelligent System for Predicting 5-Year Survival in Gastric Cancer.
    Afrash MR; Shanbehzadeh M; Kazemi-Arpanahi H
    Clin Med Insights Oncol; 2022; 16():11795549221116833. PubMed ID: 36035639
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.
    Wang J; Chen J; Zhou R; Gao Y; Li J
    BMC Cancer; 2022 Apr; 22(1):420. PubMed ID: 35439946
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
    Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
    Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms.
    Rahimi M; Afrash MR; Shadnia S; Mostafazadeh B; Evini PET; Bardsiri MS; Ramezani M
    BMC Med Inform Decis Mak; 2024 Feb; 24(1):38. PubMed ID: 38321428
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
    Du P; Liu X; Wu X; Chen J; Cao A; Geng D
    Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.
    Afrash MR; Kazemi-Arpanahi H; Shanbehzadeh M; Nopour R; Mirbagheri E
    Inform Med Unlocked; 2022; 30():100908. PubMed ID: 35280933
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
    Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
    BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
    Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
    Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
    Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
    BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A machine learning-based sonomics for prediction of thyroid nodule malignancies.
    Arabi M; Nazari M; Salahshour A; Jenabi E; Hajianfar G; Khateri M; Shayesteh SP
    Endocrine; 2023 Nov; 82(2):326-334. PubMed ID: 37291392
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia.
    Shanbehzadeh M; Afrash MR; Mirani N; Kazemi-Arpanahi H
    BMC Med Inform Decis Mak; 2022 Sep; 22(1):236. PubMed ID: 36068539
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A 5-year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms.
    Yu W; Lu Y; Shou H; Xu H; Shi L; Geng X; Song T
    Cancer Med; 2023 Mar; 12(6):6867-6876. PubMed ID: 36479910
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors.
    Afrash MR; Shafiee M; Kazemi-Arpanahi H
    BMC Gastroenterol; 2023 Jan; 23(1):6. PubMed ID: 36627564
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
    Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
    Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images.
    Mirniaharikandehei S; Heidari M; Danala G; Lakshmivarahan S; Zheng B
    Comput Methods Programs Biomed; 2021 Mar; 200():105937. PubMed ID: 33486339
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Differential Diagnosis of Prostate Cancer Grade to Augment Clinical Diagnosis Based on Classifier Models with Tuned Hyperparameters.
    Alanezi ST; Kraƛny MJ; Kleefeld C; Colgan N
    Cancers (Basel); 2024 Jun; 16(11):. PubMed ID: 38893281
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
    Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
    J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.