BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

108 related articles for article (PubMed ID: 34637191)

  • 1. How machine learning facilitates decision making in emergency departments: Modelling diagnostic test orders.
    Sariyer G; Ataman MG
    Int J Clin Pract; 2021 Dec; 75(12):e14980. PubMed ID: 34637191
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing heatwave impacts on cause-specific emergency department visits in urban and rural communities of Queensland, Australia.
    Xu Z; FitzGerald G; Guo Y; Jalaludin B; Tong S
    Environ Res; 2019 Jan; 168():414-419. PubMed ID: 30388498
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Skin diseases as a reason for frequent preschool children, primary health care attendance].
    Milaković SB; Stojanović-Spehar S; Marković BB; Tiljak H
    Acta Med Croatica; 2007 Feb; 61(1):69-75. PubMed ID: 17593644
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.
    Hunter-Zinck HS; Peck JS; Strout TD; Gaehde SA
    J Am Med Inform Assoc; 2019 Dec; 26(12):1427-1436. PubMed ID: 31578568
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Forecasting daily counts of patient presentations in Australian emergency departments using statistical models with time-varying predictors.
    Duwalage KI; Burkett E; White G; Wong A; Thompson MH
    Emerg Med Australas; 2020 Aug; 32(4):618-625. PubMed ID: 32067361
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.
    Sudarshan VK; Brabrand M; Range TM; Wiil UK
    Comput Biol Med; 2021 Aug; 135():104541. PubMed ID: 34166880
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Forecasting daily patient volumes in the emergency department.
    Jones SS; Thomas A; Evans RS; Welch SJ; Haug PJ; Snow GL
    Acad Emerg Med; 2008 Feb; 15(2):159-70. PubMed ID: 18275446
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study.
    Cheng HY; Wu YC; Lin MH; Liu YL; Tsai YY; Wu JH; Pan KH; Ke CJ; Chen CM; Liu DP; Lin IF; Chuang JH
    J Med Internet Res; 2020 Aug; 22(8):e15394. PubMed ID: 32755888
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting hospitalization of pediatric asthma patients in emergency departments using machine learning.
    Sills MR; Ozkaynak M; Jang H
    Int J Med Inform; 2021 Jul; 151():104468. PubMed ID: 33940479
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Emergency Department Presentations following Tropical Cyclone Yasi.
    Aitken P; Franklin RC; Lawlor J; Mitchell R; Watt K; Furyk J; Small N; Lovegrove L; Leggat P
    PLoS One; 2015; 10(6):e0131196. PubMed ID: 26111010
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Observing effectiveness of pathology ordering controls in emergency departments.
    Wagholikar A; O'Dwyer J; Hansen D; Chu K
    Stud Health Technol Inform; 2011; 168():172-8. PubMed ID: 21893926
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.
    Plante TB; Blau AM; Berg AN; Weinberg AS; Jun IC; Tapson VF; Kanigan TS; Adib AB
    J Med Internet Res; 2020 Dec; 22(12):e24048. PubMed ID: 33226957
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A universal deep learning approach for modeling the flow of patients under different severities.
    Jiang S; Chin KS; Tsui KL
    Comput Methods Programs Biomed; 2018 Feb; 154():191-203. PubMed ID: 29249343
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.
    Goto T; Camargo CA; Faridi MK; Freishtat RJ; Hasegawa K
    JAMA Netw Open; 2019 Jan; 2(1):e186937. PubMed ID: 30646206
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.
    Li K; Wu H; Pan F; Chen L; Feng C; Liu Y; Hui H; Cai X; Che H; Ma Y; Li T
    Clin Appl Thromb Hemost; 2020; 26():1076029619897827. PubMed ID: 31908189
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecasting emergency department overcrowding: A deep learning framework.
    Harrou F; Dairi A; Kadri F; Sun Y
    Chaos Solitons Fractals; 2020 Oct; 139():110247. PubMed ID: 32982079
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review.
    Fernandes M; Vieira SM; Leite F; Palos C; Finkelstein S; Sousa JMC
    Artif Intell Med; 2020 Jan; 102():101762. PubMed ID: 31980099
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning based forecast for the prediction of inpatient bed demand.
    Tello M; Reich ES; Puckey J; Maff R; Garcia-Arce A; Bhattacharya BS; Feijoo F
    BMC Med Inform Decis Mak; 2022 Mar; 22(1):55. PubMed ID: 35236345
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.