BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

919 related articles for article (PubMed ID: 32442149)

  • 1. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches.
    Tarekegn A; Ricceri F; Costa G; Ferracin E; Giacobini M
    JMIR Med Inform; 2020 Jun; 8(6):e16678. PubMed ID: 32442149
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
    Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
    BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.
    Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY
    Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.
    Sakr S; Elshawi R; Ahmed AM; Qureshi WT; Brawner CA; Keteyian SJ; Blaha MJ; Al-Mallah MH
    BMC Med Inform Decis Mak; 2017 Dec; 17(1):174. PubMed ID: 29258510
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome.
    Hassler AP; Menasalvas E; García-García FJ; Rodríguez-Mañas L; Holzinger A
    BMC Med Inform Decis Mak; 2019 Feb; 19(1):33. PubMed ID: 30777059
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.
    Hassanzadeh R; Farhadian M; Rafieemehr H
    BMC Med Res Methodol; 2023 Apr; 23(1):101. PubMed ID: 37087425
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of an artificial intelligence mobile application for predicting 30-day mortality in critically ill patients with orthopaedic trauma.
    Han T; Xiong F; Sun B; Zhong L; Han Z; Lei M
    Int J Med Inform; 2024 Apr; 184():105383. PubMed ID: 38387198
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models.
    Ke B; Nguyen H; Bui XN; Bui HB; Choi Y; Zhou J; Moayedi H; Costache R; Nguyen-Trang T
    Chemosphere; 2021 Aug; 276():130204. PubMed ID: 34088091
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine-learning models for predicting surgical site infections using patient pre-operative risk and surgical procedure factors.
    Mamlook REA; Wells LJ; Sawyer R
    Am J Infect Control; 2023 May; 51(5):544-550. PubMed ID: 36002080
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of machine learning models to predict frailty risk for elderly.
    Zhang W; Wang J; Xie F; Wang X; Dong S; Luo N; Li F; Li Y
    J Adv Nurs; 2024 Apr; ():. PubMed ID: 38605460
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
    Kitcharanant N; Chotiyarnwong P; Tanphiriyakun T; Vanitcharoenkul E; Mahaisavariya C; Boonyaprapa W; Unnanuntana A
    BMC Geriatr; 2022 May; 22(1):451. PubMed ID: 35610589
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of machine learning models for bluetongue risk prediction: a seroprevalence study on small ruminants.
    Gouda HF; Hassan FAM; El-Araby EE; Moawed SA
    BMC Vet Res; 2022 Nov; 18(1):394. PubMed ID: 36348478
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning Approaches to Predict Chronic Lower Back Pain in People Aged over 50 Years.
    Shim JG; Ryu KH; Cho EA; Ahn JH; Kim HK; Lee YJ; Lee SH
    Medicina (Kaunas); 2021 Nov; 57(11):. PubMed ID: 34833448
    [No Abstract]   [Full Text] [Related]  

  • 16. Machine learning in the estimation of CRISPR-Cas9 cleavage sites for plant system.
    Das J; Kumar S; Mishra DC; Chaturvedi KK; Paul RK; Kairi A
    Front Genet; 2022; 13():1085332. PubMed ID: 36699447
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
    Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
    BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan.
    Kuo PJ; Wu SC; Chien PC; Rau CS; Chen YC; Hsieh HY; Hsieh CH
    BMJ Open; 2018 Jan; 8(1):e018252. PubMed ID: 29306885
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study.
    Mufti HN; Hirsch GM; Abidi SR; Abidi SSR
    JMIR Med Inform; 2019 Oct; 7(4):e14993. PubMed ID: 31558433
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 46.