BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 37209577)

  • 1. Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography.
    Yang L; Li Z; Dai M; Fu F; Möller K; Gao Y; Zhao Z
    Comput Methods Programs Biomed; 2023 Aug; 238():107613. PubMed ID: 37209577
    [TBL] [Abstract][Full Text] [Related]  

  • 2. First Attempt at Using Electrical Impedance Tomography to Predict High Flow Nasal Cannula Therapy Outcomes at an Early Phase.
    Li Z; Zhang Z; Xia Q; Xu D; Qin S; Dai M; Fu F; Gao Y; Zhao Z
    Front Med (Lausanne); 2021; 8():737810. PubMed ID: 34692729
    [No Abstract]   [Full Text] [Related]  

  • 3. 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]  

  • 4. Predicting High Flow Nasal Cannula Failure in an Intensive Care Unit Using a Recurrent Neural Network With Transfer Learning and Input Data Perseveration: Retrospective Analysis.
    Pappy G; Aczon M; Wetzel R; Ledbetter D
    JMIR Med Inform; 2022 Mar; 10(3):e31760. PubMed ID: 35238792
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effect of postextubation high-flow nasal cannula therapy on lung recruitment and overdistension in high-risk patient.
    Zhang R; He H; Yun L; Zhou X; Wang X; Chi Y; Yuan S; Zhao Z
    Crit Care; 2020 Mar; 24(1):82. PubMed ID: 32143664
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Efficient Prediction of Missed Clinical Appointment Using Machine Learning.
    Qureshi Z; Maqbool A; Mirza A; Iqbal MZ; Afzal F; Kanubala DD; Rana T; Umair MY; Wakeel A; Shah SK
    Comput Math Methods Med; 2021; 2021():2376391. PubMed ID: 34721656
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea.
    Kim J; Mun S; Lee S; Jeong K; Baek Y
    BMC Public Health; 2022 Apr; 22(1):664. PubMed ID: 35387629
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Use of high-flow nasal cannula oxygen and risk factors for high-flow nasal cannula oxygen failure in critically-ill patients with COVID-19.
    Ait Hamou Z; Levy N; Charpentier J; Mira JP; Jamme M; Jozwiak M
    Respir Res; 2022 Dec; 23(1):329. PubMed ID: 36463161
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning-based models for the prediction of breast cancer recurrence risk.
    Zuo D; Yang L; Jin Y; Qi H; Liu Y; Ren L
    BMC Med Inform Decis Mak; 2023 Nov; 23(1):276. PubMed ID: 38031071
    [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. Machine learning model-based risk prediction of severe complications after off-pump coronary artery bypass grafting.
    Zhang Y; Li L; Li Y; Zeng Z
    Adv Clin Exp Med; 2023 Feb; 32(2):185-194. PubMed ID: 36226692
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Effects of High-Flow Nasal Cannula on End-Expiratory Lung Impedance in Semi-Seated Healthy Subjects.
    Plotnikow GA; Thille AW; Vasquez DN; Pratto RA; Quiroga CM; Andrich ME; Dorado JH; Gomez RS; D'Annunzio PA; Scapellato JL; Intile D
    Respir Care; 2018 Aug; 63(8):1016-1023. PubMed ID: 29945910
    [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. 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]  

  • 18. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
    Ye Z; An S; Gao Y; Xie E; Zhao X; Guo Z; Li Y; Shen N; Ren J; Zheng J
    Eur J Med Res; 2023 Jan; 28(1):33. PubMed ID: 36653875
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.