These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 36737625)

  • 1. Machine learning to improve frequent emergency department use prediction: a retrospective cohort study.
    Chiu YM; Courteau J; Dufour I; Vanasse A; Hudon C
    Sci Rep; 2023 Feb; 13(1):1981. PubMed ID: 36737625
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Frequent emergency department use by older adults with ambulatory care sensitive conditions: A population-based cohort study.
    Dufour I; Chiu Y; Courteau J; Chouinard MC; Dubuc N; Hudon C
    Geriatr Gerontol Int; 2020 Apr; 20(4):317-323. PubMed ID: 32017348
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparative analysis of machine learning approaches for predicting frequent emergency department visits.
    Safaripour R; June Lim HJ
    Health Informatics J; 2022; 28(2):14604582221106396. PubMed ID: 35686745
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Emergency department triage prediction of clinical outcomes using machine learning models.
    Raita Y; Goto T; Faridi MK; Brown DFM; Camargo CA; Hasegawa K
    Crit Care; 2019 Feb; 23(1):64. PubMed ID: 30795786
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Persistent frequent emergency department users with chronic conditions: A population-based cohort study.
    Chiu YM; Vanasse A; Courteau J; Chouinard MC; Dubois MF; Dubuc N; Elazhary N; Dufour I; Hudon C
    PLoS One; 2020; 15(2):e0229022. PubMed ID: 32050010
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning algorithms for early sepsis detection in the emergency department: A retrospective study.
    Kijpaisalratana N; Sanglertsinlapachai D; Techaratsami S; Musikatavorn K; Saoraya J
    Int J Med Inform; 2022 Apr; 160():104689. PubMed ID: 35078027
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Profiles of Frequent Geriatric Users of Emergency Departments: A Latent Class Analysis.
    Dufour I; Dubuc N; Chouinard MC; Chiu Y; Courteau J; Hudon C
    J Am Geriatr Soc; 2021 Mar; 69(3):753-761. PubMed ID: 33156527
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.
    Patel SJ; Chamberlain DB; Chamberlain JM
    Acad Emerg Med; 2018 Dec; 25(12):1463-1470. PubMed ID: 30382605
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Factors associated with chronic frequent emergency department utilization in a population with diabetes living in metropolitan areas: a population-based retrospective cohort study.
    Hudon C; Courteau J; Krieg C; Vanasse A
    BMC Health Serv Res; 2017 Aug; 17(1):525. PubMed ID: 28778161
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting daily emergency department visits using machine learning could increase accuracy.
    Gafni-Pappas G; Khan M
    Am J Emerg Med; 2023 Mar; 65():5-11. PubMed ID: 36574748
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting urinary tract infections in the emergency department with machine learning.
    Taylor RA; Moore CL; Cheung KH; Brandt C
    PLoS One; 2018; 13(3):e0194085. PubMed ID: 29513742
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using the Electronic Medical Record to Identify Patients at High Risk for Frequent Emergency Department Visits and High System Costs.
    Frost DW; Vembu S; Wang J; Tu K; Morris Q; Abrams HB
    Am J Med; 2017 May; 130(5):601.e17-601.e22. PubMed ID: 28065773
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care.
    Song J; Hobensack M; Bowles KH; McDonald MV; Cato K; Rossetti SC; Chae S; Kennedy E; Barrón Y; Sridharan S; Topaz M
    J Biomed Inform; 2022 Apr; 128():104039. PubMed ID: 35231649
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Traditional Methods Hold Their Ground Against Machine Learning in Predicting Potentially Inappropriate Medication Use in Older Adults.
    Chiu YM; Sirois C; Simard M; Gagnon ME; Talbot D
    Value Health; 2024 Oct; 27(10):1393-1399. PubMed ID: 38977181
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting frequent emergency department use among children with epilepsy: A retrospective cohort study using electronic health data from 2 centers.
    Grinspan ZM; Patel AD; Hafeez B; Abramson EL; Kern LM
    Epilepsia; 2018 Jan; 59(1):155-169. PubMed ID: 29143960
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Risk of Frequent Emergency Department Use Among an Ambulatory Care Sensitive Condition Population: A Population-based Cohort Study.
    Hudon C; Courteau J; Chiu YM; Chouinard MC; Dubois MF; Dubuc N; Elazhary N; Racine-Hemmings F; Dufour I; Vanasse A
    Med Care; 2020 Mar; 58(3):248-256. PubMed ID: 32049947
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score.
    Klug M; Barash Y; Bechler S; Resheff YS; Tron T; Ironi A; Soffer S; Zimlichman E; Klang E
    J Gen Intern Med; 2020 Jan; 35(1):220-227. PubMed ID: 31677104
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.
    Stylianou N; Akbarov A; Kontopantelis E; Buchan I; Dunn KW
    Burns; 2015 Aug; 41(5):925-34. PubMed ID: 25931158
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Profiles of frequent emergency department users with chronic conditions: a latent class analysis.
    Chiu YM; Dufour I; Courteau J; Vanasse A; Chouinard MC; Dubois MF; Dubuc N; Elazhary N; Hudon C
    BMJ Open; 2022 Sep; 12(9):e055297. PubMed ID: 36175089
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.