BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 31099339)

  • 1. Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine.
    Wang X; Zhang Y; Hao S; Zheng L; Liao J; Ye C; Xia M; Wang O; Liu M; Weng CH; Duong SQ; Jin B; Alfreds ST; Stearns F; Kanov L; Sylvester KG; Widen E; McElhinney DB; Ling XB
    J Med Internet Res; 2019 May; 21(5):e13260. PubMed ID: 31099339
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.
    Ye C; Fu T; Hao S; Zhang Y; Wang O; Jin B; Xia M; Liu M; Zhou X; Wu Q; Guo Y; Zhu C; Li YM; Culver DS; Alfreds ST; Stearns F; Sylvester KG; Widen E; McElhinney D; Ling X
    J Med Internet Res; 2018 Jan; 20(1):e22. PubMed ID: 29382633
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessing Statewide All-Cause Future One-Year Mortality: Prospective Study With Implications for Quality of Life, Resource Utilization, and Medical Futility.
    Guo Y; Zheng G; Fu T; Hao S; Ye C; Zheng L; Liu M; Xia M; Jin B; Zhu C; Wang O; Wu Q; Culver DS; Alfreds ST; Stearns F; Kanov L; Bhatia A; Sylvester KG; Widen E; McElhinney DB; Ling XB
    J Med Internet Res; 2018 Jun; 20(6):e10311. PubMed ID: 29866643
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.
    Yuan Q; Cai T; Hong C; Du M; Johnson BE; Lanuti M; Cai T; Christiani DC
    JAMA Netw Open; 2021 Jul; 4(7):e2114723. PubMed ID: 34232304
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine.
    Hao S; Fu T; Wu Q; Jin B; Zhu C; Hu Z; Guo Y; Zhang Y; Yu Y; Fouts T; Ng P; Culver DS; Alfreds ST; Stearns F; Sylvester KG; Widen E; McElhinney DB; Ling XB
    JMIR Med Inform; 2017 Jul; 5(3):e21. PubMed ID: 28747298
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comment on "Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine".
    Rahmani J; Karimi R; Khani Y; Sabour S
    J Med Internet Res; 2020 Sep; 22(9):e14944. PubMed ID: 32930665
    [No Abstract]   [Full Text] [Related]  

  • 7. Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.
    Ye C; Li J; Hao S; Liu M; Jin H; Zheng L; Xia M; Jin B; Zhu C; Alfreds ST; Stearns F; Kanov L; Sylvester KG; Widen E; McElhinney D; Ling XB
    Int J Med Inform; 2020 May; 137():104105. PubMed ID: 32193089
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of patients at risk of new onset heart failure: Utilizing a large statewide health information exchange to train and validate a risk prediction model.
    Duong SQ; Zheng L; Xia M; Jin B; Liu M; Li Z; Hao S; Alfreds ST; Sylvester KG; Widen E; Teuteberg JJ; McElhinney DB; Ling XB
    PLoS One; 2021; 16(12):e0260885. PubMed ID: 34890438
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study.
    Krakower DS; Gruber S; Hsu K; Menchaca JT; Maro JC; Kruskal BA; Wilson IB; Mayer KH; Klompas M
    Lancet HIV; 2019 Oct; 6(10):e696-e704. PubMed ID: 31285182
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study.
    Hu Z; Hao S; Jin B; Shin AY; Zhu C; Huang M; Wang Y; Zheng L; Dai D; Culver DS; Alfreds ST; Rogow T; Stearns F; Sylvester KG; Widen E; Ling X
    J Med Internet Res; 2015 Sep; 17(9):e219. PubMed ID: 26395541
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Electronic Health Record-Based Prediction of 1-Year Risk of Incident Cardiac Dysrhythmia: Prospective Case-Finding Algorithm Development and Validation Study.
    Zhang Y; Han Y; Gao P; Mo Y; Hao S; Huang J; Ye F; Li Z; Zheng L; Yao X; Li Z; Li X; Wang X; Huang CJ; Jin B; Zhang Y; Yang G; Alfreds ST; Kanov L; Sylvester KG; Widen E; Li L; Ling X
    JMIR Med Inform; 2021 Feb; 9(2):e23606. PubMed ID: 33595452
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Electronic Health Record-Based Absolute Risk Prediction Model for Esophageal Cancer in the Chinese Population: Model Development and External Validation.
    Han Y; Zhu X; Hu Y; Yu C; Guo Y; Hang D; Pang Y; Pei P; Ma H; Sun D; Yang L; Chen Y; Du H; Yu M; Chen J; Chen Z; Huo D; Jin G; Lv J; Hu Z; Shen H; Li L
    JMIR Public Health Surveill; 2023 Mar; 9():e43725. PubMed ID: 36781293
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model.
    Lu MT; Raghu VK; Mayrhofer T; Aerts HJWL; Hoffmann U
    Ann Intern Med; 2020 Nov; 173(9):704-713. PubMed ID: 32866413
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
    Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
    J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of lung cancer risk in Chinese population with genetic-environment factor using extreme gradient boosting.
    Li Y; Zou Z; Gao Z; Wang Y; Xiao M; Xu C; Jiang G; Wang H; Jin L; Wang J; Wang HZ; Guo S; Wu J
    Cancer Med; 2022 Dec; 11(23):4469-4478. PubMed ID: 35499292
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study.
    He F; Page JH; Weinberg KR; Mishra A
    J Med Internet Res; 2022 Jan; 24(1):e31549. PubMed ID: 34951865
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care.
    Chandran U; Reps J; Yang R; Vachani A; Maldonado F; Kalsekar I
    Cancer Epidemiol Biomarkers Prev; 2023 Mar; 32(3):337-343. PubMed ID: 36576991
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Use of electronic health record data and machine learning to identify candidates for HIV pre-exposure prophylaxis: a modelling study.
    Marcus JL; Hurley LB; Krakower DS; Alexeeff S; Silverberg MJ; Volk JE
    Lancet HIV; 2019 Oct; 6(10):e688-e695. PubMed ID: 31285183
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study.
    Tammemagi MC; Schmidt H; Martel S; McWilliams A; Goffin JR; Johnston MR; Nicholas G; Tremblay A; Bhatia R; Liu G; Soghrati K; Yasufuku K; Hwang DM; Laberge F; Gingras M; Pasian S; Couture C; Mayo JR; Nasute Fauerbach PV; Atkar-Khattra S; Peacock SJ; Cressman S; Ionescu D; English JC; Finley RJ; Yee J; Puksa S; Stewart L; Tsai S; Haider E; Boylan C; Cutz JC; Manos D; Xu Z; Goss GD; Seely JM; Amjadi K; Sekhon HS; Burrowes P; MacEachern P; Urbanski S; Sin DD; Tan WC; Leighl NB; Shepherd FA; Evans WK; Tsao MS; Lam S;
    Lancet Oncol; 2017 Nov; 18(11):1523-1531. PubMed ID: 29055736
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.