BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 33164906)

  • 1. Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis.
    Luo G; Nau CL; Crawford WW; Schatz M; Zeiger RS; Rozema E; Koebnick C
    JMIR Med Inform; 2020 Nov; 8(11):e22689. PubMed ID: 33164906
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study.
    Tong Y; Messinger AI; Wilcox AB; Mooney SD; Davidson GH; Suri P; Luo G
    J Med Internet Res; 2021 Apr; 23(4):e22796. PubMed ID: 33861206
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis.
    Luo G; Nau CL; Crawford WW; Schatz M; Zeiger RS; Koebnick C
    J Med Internet Res; 2021 Apr; 23(4):e24153. PubMed ID: 33856359
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis.
    Luo G; He S; Stone BL; Nkoy FL; Johnson MD
    JMIR Med Inform; 2020 Jan; 8(1):e16080. PubMed ID: 31961332
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ranking Rule-Based Automatic Explanations for Machine Learning Predictions on Asthma Hospital Encounters in Patients With Asthma: Retrospective Cohort Study.
    Zhang X; Luo G
    JMIR Med Inform; 2021 Aug; 9(8):e28287. PubMed ID: 34383673
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.
    Zeng S; Arjomandi M; Tong Y; Liao ZC; Luo G
    J Med Internet Res; 2022 Jan; 24(1):e28953. PubMed ID: 34989686
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis.
    Luo G; Stone BL; Nkoy FL; He S; Johnson MD
    JMIR Med Inform; 2019 Jan; 7(1):e12591. PubMed ID: 30668518
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Error and Timeliness Analysis for Using Machine Learning to Predict Asthma Hospital Visits: Retrospective Cohort Study.
    Zhang X; Luo G
    JMIR Med Inform; 2022 Jun; 10(6):e38220. PubMed ID: 35675129
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma.
    Luo G
    JMIR Med Inform; 2022 Mar; 10(3):e33044. PubMed ID: 35230246
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis.
    Luo G; Stone BL; Koebnick C; He S; Au DH; Sheng X; Murtaugh MA; Sward KA; Schatz M; Zeiger RS; Davidson GH; Nkoy FL
    JMIR Res Protoc; 2019 Jun; 8(6):e13783. PubMed ID: 31199308
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis.
    Luo G; Johnson MD; Nkoy FL; He S; Stone BL
    JMIR Med Inform; 2020 Dec; 8(12):e21965. PubMed ID: 33382379
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Testing the Generalizability of an Automated Method for Explaining Machine Learning Predictions on Asthma Patients' Asthma Hospital Visits to an Academic Healthcare System.
    Tong Y; Messinger AI; Luo G
    IEEE Access; 2020; 8():195971-195979. PubMed ID: 33240737
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study.
    Tong Y; Lin B; Chen G; Zhang Z
    Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162261
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.
    Zeng S; Arjomandi M; Luo G
    JMIR Med Inform; 2022 Feb; 10(2):e33043. PubMed ID: 35212634
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study.
    Tong Y; Liao ZC; Tarczy-Hornoch P; Luo G
    JMIR Form Res; 2021 Oct; 5(10):e26314. PubMed ID: 34617906
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predictive Modeling of 30-Day Emergency Hospital Transport of Patients Using a Personal Emergency Response System: Prognostic Retrospective Study.
    Op den Buijs J; Simons M; Golas S; Fischer N; Felsted J; Schertzer L; Agboola S; Kvedar J; Jethwani K
    JMIR Med Inform; 2018 Nov; 6(4):e49. PubMed ID: 30482741
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
    Taylor RA; Pare JR; Venkatesh AK; Mowafi H; Melnick ER; Fleischman W; Hall MK
    Acad Emerg Med; 2016 Mar; 23(3):269-78. PubMed ID: 26679719
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
    Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
    Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical Practice Guideline: Nosebleed (Epistaxis).
    Tunkel DE; Anne S; Payne SC; Ishman SL; Rosenfeld RM; Abramson PJ; Alikhaani JD; Benoit MM; Bercovitz RS; Brown MD; Chernobilsky B; Feldstein DA; Hackell JM; Holbrook EH; Holdsworth SM; Lin KW; Lind MM; Poetker DM; Riley CA; Schneider JS; Seidman MD; Vadlamudi V; Valdez TA; Nnacheta LC; Monjur TM
    Otolaryngol Head Neck Surg; 2020 Jan; 162(1_suppl):S1-S38. PubMed ID: 31910111
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clinical Practice Guideline: Nosebleed (Epistaxis) Executive Summary.
    Tunkel DE; Anne S; Payne SC; Ishman SL; Rosenfeld RM; Abramson PJ; Alikhaani JD; Benoit MM; Bercovitz RS; Brown MD; Chernobilsky B; Feldstein DA; Hackell JM; Holbrook EH; Holdsworth SM; Lin KW; Lind MM; Poetker DM; Riley CA; Schneider JS; Seidman MD; Vadlamudi V; Valdez TA; Nnacheta LC; Monjur TM
    Otolaryngol Head Neck Surg; 2020 Jan; 162(1):8-25. PubMed ID: 31910122
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.