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 *

225 related articles for article (PubMed ID: 31362082)

  • 1. Prediction of good neurological recovery after out-of-hospital cardiac arrest: A machine learning analysis.
    Park JH; Shin SD; Song KJ; Hong KJ; Ro YS; Choi JW; Choi SW
    Resuscitation; 2019 Sep; 142():127-135. PubMed ID: 31362082
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.
    Heo JH; Kim T; Shin J; Suh GJ; Kim J; Jung YS; Park SM; Kim S;
    J Korean Med Sci; 2021 Jul; 36(28):e187. PubMed ID: 34282605
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.
    Cheng CY; Chiu IM; Zeng WH; Tsai CM; Lin CR
    Biomed Res Int; 2021; 2021():9590131. PubMed ID: 34589553
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting Survived Events in Nontraumatic Out-of-Hospital Cardiac Arrest: A Comparison Study on Machine Learning and Regression Models.
    Lo YH; Siu YCA
    J Emerg Med; 2021 Dec; 61(6):683-694. PubMed ID: 34548227
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Enhancement in Performance of Septic Shock Prediction Using National Early Warning Score, Initial Triage Information, and Machine Learning Analysis.
    Yun H; Park JH; Choi DH; Shin SD; Jang MJ; Kong HJ; Kim SW
    J Emerg Med; 2021 Jul; 61(1):1-11. PubMed ID: 33812727
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of Critical Care Outcome for Adult Patients Presenting to Emergency Department Using Initial Triage Information: An XGBoost Algorithm Analysis.
    Yun H; Choi J; Park JH
    JMIR Med Inform; 2021 Sep; 9(9):e30770. PubMed ID: 34346889
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis.
    Harford S; Darabi H; Del Rios M; Majumdar S; Karim F; Vanden Hoek T; Erwin K; Watson DP
    Resuscitation; 2019 May; 138():134-140. PubMed ID: 30885826
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study.
    Nanayakkara S; Fogarty S; Tremeer M; Ross K; Richards B; Bergmeir C; Xu S; Stub D; Smith K; Tacey M; Liew D; Pilcher D; Kaye DM
    PLoS Med; 2018 Nov; 15(11):e1002709. PubMed ID: 30500816
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Association of health insurance with post-resuscitation care and neurological outcomes after return of spontaneous circulation in out-of-hospital cardiac arrest patients in Korea.
    Kim TH; Ro YS; Shin SD; Song KJ; Hong KJ; Park JH; Kong SY
    Resuscitation; 2019 Feb; 135():176-182. PubMed ID: 30639790
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique.
    Seki T; Tamura T; Suzuki M;
    Resuscitation; 2019 Aug; 141():128-135. PubMed ID: 31220514
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Early outcome prediction for out-of-hospital cardiac arrest with initial shockable rhythm using machine learning models.
    Hirano Y; Kondo Y; Sueyoshi K; Okamoto K; Tanaka H
    Resuscitation; 2021 Jan; 158():49-56. PubMed ID: 33227398
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Neuron-specific enolase (NSE) improves clinical risk scores for prediction of neurological outcome and death in cardiac arrest patients: Results from a prospective trial.
    Luescher T; Mueller J; Isenschmid C; Kalt J; Rasiah R; Tondorf T; Gamp M; Becker C; Sutter R; Tisljar K; Schuetz P; Marsch S; Hunziker S
    Resuscitation; 2019 Sep; 142():50-60. PubMed ID: 31306716
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU.
    Xie W; Li Y; Meng X; Zhao M
    Int J Med Inform; 2023 Jun; 174():105049. PubMed ID: 37001474
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Developing a Time-Adaptive Prediction Model for Out-of-Hospital Cardiac Arrest: Nationwide Cohort Study in Korea.
    Kim JW; Ha J; Kim T; Yoon H; Hwang SY; Jo IJ; Shin TG; Sim MS; Kim K; Cha WC
    J Med Internet Res; 2021 Jul; 23(7):e28361. PubMed ID: 36260382
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Use of Time-to-Event Analysis to Develop On-Scene Return of Spontaneous Circulation Prediction for Out-of-Hospital Cardiac Arrest Patients.
    Park JH; Choi J; Lee S; Shin SD; Song KJ
    Ann Emerg Med; 2022 Feb; 79(2):132-144. PubMed ID: 34417073
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of dispatcher-assisted bystander cardiopulmonary resuscitation on neurological recovery in paediatric patients with out-of-hospital cardiac arrest based on the pre-hospital emergency medical service response time interval.
    Chang I; Lee SC; Shin SD; Song KJ; Ro YS; Park JH; Kong SY
    Resuscitation; 2018 Sep; 130():49-56. PubMed ID: 29960075
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The response time threshold for predicting favourable neurological outcomes in patients with bystander-witnessed out-of-hospital cardiac arrest.
    Ono Y; Hayakawa M; Iijima H; Maekawa K; Kodate A; Sadamoto Y; Mizugaki A; Murakami H; Katabami K; Sawamura A; Gando S
    Resuscitation; 2016 Oct; 107():65-70. PubMed ID: 27531022
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The effect of mild therapeutic hypothermia on good neurological recovery after out-of-hospital cardiac arrest according to location of return of spontaneous circulation: a nationwide observational study.
    Bae KS; Shin SD; Ro YS; Song KJ; Lee EJ; Lee YJ; Suh GJ; Kwak YH
    Resuscitation; 2015 Apr; 89():129-36. PubMed ID: 25637694
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.
    Kwon JM; Jeon KH; Kim HM; Kim MJ; Lim S; Kim KH; Song PS; Park J; Choi RK; Oh BH
    Resuscitation; 2019 Jun; 139():84-91. PubMed ID: 30978378
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The predictive value of soluble urokinase plasminogen activator receptor (SuPAR) regarding 90-day mortality and 12-month neurological outcome in critically ill patients after out-of-hospital cardiac arrest. Data from the prospective FINNRESUSCI study.
    Jalkanen V; Vaahersalo J; Pettilä V; Kurola J; Varpula T; Tiainen M; Huhtala H; Alaspää A; Hovilehto S; Kiviniemi O; Kuitunen A; Tenhunen J;
    Resuscitation; 2014 Nov; 85(11):1562-7. PubMed ID: 25193800
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.