BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

309 related articles for article (PubMed ID: 33861809)

  • 1. Predicting breast cancer 5-year survival using machine learning: A systematic review.
    Li J; Zhou Z; Dong J; Fu Y; Li Y; Luan Z; Peng X
    PLoS One; 2021; 16(4):e0250370. PubMed ID: 33861809
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.
    Senanayake S; White N; Graves N; Healy H; Baboolal K; Kularatna S
    Int J Med Inform; 2019 Oct; 130():103957. PubMed ID: 31472443
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis.
    Lu D; Long X; Fu W; Liu B; Zhou X; Sun S
    J Cancer Res Clin Oncol; 2023 Sep; 149(12):10659-10674. PubMed ID: 37302114
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A systematic review of machine learning models for predicting outcomes of stroke with structured data.
    Wang W; Kiik M; Peek N; Curcin V; Marshall IJ; Rudd AG; Wang Y; Douiri A; Wolfe CD; Bray B
    PLoS One; 2020; 15(6):e0234722. PubMed ID: 32530947
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of machine learning to analyse routinely collected intensive care unit data: a systematic review.
    Shillan D; Sterne JAC; Champneys A; Gibbison B
    Crit Care; 2019 Aug; 23(1):284. PubMed ID: 31439010
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting factors for survival of breast cancer patients using machine learning techniques.
    Ganggayah MD; Taib NA; Har YC; Lio P; Dhillon SK
    BMC Med Inform Decis Mak; 2019 Mar; 19(1):48. PubMed ID: 30902088
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reviewing ensemble classification methods in breast cancer.
    Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
    Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.
    Alabi RO; Youssef O; Pirinen M; Elmusrati M; Mäkitie AA; Leivo I; Almangush A
    Artif Intell Med; 2021 May; 115():102060. PubMed ID: 34001326
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cervical cancer survival prediction by machine learning algorithms: a systematic review.
    Rahimi M; Akbari A; Asadi F; Emami H
    BMC Cancer; 2023 Apr; 23(1):341. PubMed ID: 37055741
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review.
    Zeinali N; Youn N; Albashayreh A; Fan W; Gilbertson White S
    JMIR Cancer; 2024 Mar; 10():e52322. PubMed ID: 38502171
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Assessment of the Predictive Performance of Current Machine Learning-Based Breast Cancer Risk Prediction Models: Systematic Review.
    Gao Y; Li S; Jin Y; Zhou L; Sun S; Xu X; Li S; Yang H; Zhang Q; Wang Y
    JMIR Public Health Surveill; 2022 Dec; 8(12):e35750. PubMed ID: 36426919
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
    Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
    Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia.
    Osborne SR; Alston LV; Bolton KA; Whelan J; Reeve E; Wong Shee A; Browne J; Walker T; Versace VL; Allender S; Nichols M; Backholer K; Goodwin N; Lewis S; Dalton H; Prael G; Curtin M; Brooks R; Verdon S; Crockett J; Hodgins G; Walsh S; Lyle DM; Thompson SC; Browne LJ; Knight S; Pit SW; Jones M; Gillam MH; Leach MJ; Gonzalez-Chica DA; Muyambi K; Eshetie T; Tran K; May E; Lieschke G; Parker V; Smith A; Hayes C; Dunlop AJ; Rajappa H; White R; Oakley P; Holliday S
    Med J Aust; 2020 Dec; 213 Suppl 11():S3-S32.e1. PubMed ID: 33314144
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evolution of Breast Cancer Recurrence Risk Prediction: A Systematic Review of Statistical and Machine Learning-Based Models.
    El Haji H; Souadka A; Patel BN; Sbihi N; Ramasamy G; Patel BK; Ghogho M; Banerjee I
    JCO Clin Cancer Inform; 2023 Aug; 7():e2300049. PubMed ID: 37566789
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning models in breast cancer survival prediction.
    Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
    Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of machine learning in predicting hospital readmissions: a scoping review of the literature.
    Huang Y; Talwar A; Chatterjee S; Aparasu RR
    BMC Med Res Methodol; 2021 May; 21(1):96. PubMed ID: 33952192
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A machine learning-based approach to prognostic analysis of thoracic transplantations.
    Delen D; Oztekin A; Kong ZJ
    Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.
    Bradley A; van der Meer R; McKay C
    Pancreas; 2019; 48(5):598-604. PubMed ID: 31090660
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.