BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 35509861)

  • 1. Predicting Characteristics Associated with Breast Cancer Survival Using Multiple Machine Learning Approaches.
    Haque MN; Tazin T; Khan MM; Faisal S; Ibraheem SM; Algethami H; Almalki FA
    Comput Math Methods Med; 2022; 2022():1249692. PubMed ID: 35509861
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Application of machine learning techniques for predicting survival in ovarian cancer.
    Sorayaie Azar A; Babaei Rikan S; Naemi A; Bagherzadeh Mohasefi J; Pirnejad H; Bagherzadeh Mohasefi M; Wiil UK
    BMC Med Inform Decis Mak; 2022 Dec; 22(1):345. PubMed ID: 36585641
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Breast Tumor Detection Using Robust and Efficient Machine Learning and Convolutional Neural Network Approaches.
    Khan MM; Tazin T; Zunaid Hussain M; Mostakim M; Rehman T; Singh S; Gupta V; Alomeir O
    Comput Intell Neurosci; 2022; 2022():6333573. PubMed ID: 35712068
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer.
    Ozcan I; Aydin H; Cetinkaya A
    Asian Pac J Cancer Prev; 2022 Oct; 23(10):3287-3297. PubMed ID: 36308351
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.
    Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H
    Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A Model for Predicting Cervical Cancer Using Machine Learning Algorithms.
    Al Mudawi N; Alazeb A
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684753
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Statistical analysis of blood characteristics of COVID-19 patients and their survival or death prediction using machine learning algorithms.
    Mazloumi R; Abazari SR; Nafarieh F; Aghsami A; Jolai F
    Neural Comput Appl; 2022; 34(17):14729-14743. PubMed ID: 35571512
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An integrative machine learning framework for classifying SEER breast cancer.
    Manikandan P; Durga U; Ponnuraja C
    Sci Rep; 2023 Apr; 13(1):5362. PubMed ID: 37005484
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Breast Cancer Prediction Based on Multiple Machine Learning Algorithms.
    Zhou S; Hu C; Wei S; Yan X
    Technol Cancer Res Treat; 2024; 23():15330338241234791. PubMed ID: 38592291
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women.
    Shim JG; Kim DW; Ryu KH; Cho EA; Ahn JH; Kim JI; Lee SH
    Arch Osteoporos; 2020 Oct; 15(1):169. PubMed ID: 33097976
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.
    Li K; Shi Q; Liu S; Xie Y; Liu J
    Medicine (Baltimore); 2021 May; 100(19):e25813. PubMed ID: 34106618
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches.
    Ganie SM; Malik MB; Arif T
    J Diabetes Metab Disord; 2022 Jun; 21(1):339-352. PubMed ID: 35673418
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data.
    Kalafi EY; Nor NAM; Taib NA; Ganggayah MD; Town C; Dhillon SK
    Folia Biol (Praha); 2019; 65(5-6):212-220. PubMed ID: 32362304
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data.
    Jiang X; Xu C
    J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233640
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.