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 *

132 related articles for article (PubMed ID: 37048811)

  • 21. Personnel and unit factors impacting outcome after cardiac arrest in a dedicated pediatric cardiac intensive care unit.
    Gaies MG; Clarke NS; Donohue JE; Gurney JG; Charpie JR; Hirsch JC
    Pediatr Crit Care Med; 2012 Sep; 13(5):583-8. PubMed ID: 22079956
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The Feasibility of a Machine Learning Approach in Predicting Successful Ventilator Mode Shifting for Adult Patients in the Medical Intensive Care Unit.
    Cheng KH; Tan MC; Chang YJ; Lin CW; Lin YH; Chang TM; Kuo LK
    Medicina (Kaunas); 2022 Mar; 58(3):. PubMed ID: 35334536
    [No Abstract]   [Full Text] [Related]  

  • 23. Early Detection of Septic Shock Onset Using Interpretable Machine Learners.
    Misra D; Avula V; Wolk DM; Farag HA; Li J; Mehta YB; Sandhu R; Karunakaran B; Kethireddy S; Zand R; Abedi V
    J Clin Med; 2021 Jan; 10(2):. PubMed ID: 33467539
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery.
    Jiang H; Liu L; Wang Y; Ji H; Ma X; Wu J; Huang Y; Wang X; Gui R; Zhao Q; Chen B
    Front Cardiovasc Med; 2021; 8():771246. PubMed ID: 34977184
    [No Abstract]   [Full Text] [Related]  

  • 25. Prediction of cardiac arrest in critically ill patients based on bedside vital signs monitoring.
    Yijing L; Wenyu Y; Kang Y; Shengyu Z; Xianliang H; Xingliang J; Cheng W; Zehui S; Mengxing L
    Comput Methods Programs Biomed; 2022 Feb; 214():106568. PubMed ID: 34883382
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development of a deep learning model for predicting critical events in a pediatric intensive care unit.
    Lee IK; Lee B; Park JD
    Acute Crit Care; 2024 Feb; 39(1):186-191. PubMed ID: 38476071
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Acute vital signs changes are underrepresented by a conventional electronic health record when compared with automatically acquired data in a single-center tertiary pediatric cardiac intensive care unit.
    Lowry AW; Futterman CA; Gazit AZ
    J Am Med Inform Assoc; 2022 Jun; 29(7):1183-1190. PubMed ID: 35301538
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Using Time Series Analysis to Predict Cardiac Arrest in a PICU.
    Kennedy CE; Aoki N; Mariscalco M; Turley JP
    Pediatr Crit Care Med; 2015 Nov; 16(9):e332-9. PubMed ID: 26536566
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.
    Ren Y; Loftus TJ; Datta S; Ruppert MM; Guan Z; Miao S; Shickel B; Feng Z; Giordano C; Upchurch GR; Rashidi P; Ozrazgat-Baslanti T; Bihorac A
    JAMA Netw Open; 2022 May; 5(5):e2211973. PubMed ID: 35576007
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Survival outcomes after extracorporeal cardiopulmonary resuscitation instituted during active chest compressions following refractory in-hospital pediatric cardiac arrest.
    Morris MC; Wernovsky G; Nadkarni VM
    Pediatr Crit Care Med; 2004 Sep; 5(5):440-6. PubMed ID: 15329159
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation.
    Lu YT; Chao HJ; Chiang YC; Chen HY
    J Med Internet Res; 2023 Feb; 25():e43734. PubMed ID: 36749620
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Results of rapid-response extracorporeal cardiopulmonary resuscitation in children with refractory cardiac arrest following cardiac surgery.
    Alsoufi B; Awan A; Manlhiot C; Guechef A; Al-Halees Z; Al-Ahmadi M; McCrindle BW; Kalloghlian A
    Eur J Cardiothorac Surg; 2014 Feb; 45(2):268-75. PubMed ID: 23818569
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019.
    Mayampurath A; Bashiri F; Hagopian R; Venable L; Carey K; Edelson D; Churpek M;
    Resuscitation; 2022 Sep; 178():55-62. PubMed ID: 35868590
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
    Awad A; Bader-El-Den M; McNicholas J; Briggs J
    Int J Med Inform; 2017 Dec; 108():185-195. PubMed ID: 29132626
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Time series analysis as input for clinical predictive modeling: modeling cardiac arrest in a pediatric ICU.
    Kennedy CE; Turley JP
    Theor Biol Med Model; 2011 Oct; 8():40. PubMed ID: 22023778
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment.
    Chu WM; Kristiani E; Wang YC; Lin YR; Lin SY; Chan WC; Yang CT; Tsan YT
    Front Med (Lausanne); 2022; 9():937216. PubMed ID: 36016999
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting Emergency Visits and Hospital Admissions During Radiation and Chemoradiation: An Internally Validated Pretreatment Machine Learning Algorithm.
    Hong JC; Niedzwiecki D; Palta M; Tenenbaum JD
    JCO Clin Cancer Inform; 2018 Dec; 2():1-11. PubMed ID: 30652595
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach.
    Chi CY; Ao S; Winkler A; Fu KC; Xu J; Ho YL; Huang CH; Soltani R
    J Med Internet Res; 2021 Sep; 23(9):e27798. PubMed ID: 34515639
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.