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 *

148 related articles for article (PubMed ID: 29727354)

  • 1. Applying Machine Learning to Pediatric Critical Care Data.
    Williams JB; Ghosh D; Wetzel RC
    Pediatr Crit Care Med; 2018 Jul; 19(7):599-608. PubMed ID: 29727354
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evidence-Based Pediatric Outcome Predictors to Guide the Allocation of Critical Care Resources in a Mass Casualty Event.
    Toltzis P; Soto-Campos G; Shelton C; Kuhn EM; Hahn R; Kanter RK; Wetzel RC
    Pediatr Crit Care Med; 2015 Sep; 16(7):e207-16. PubMed ID: 26121100
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Dependence of Machine Learning on Electronic Medical Record Quality.
    Ho LV; Ledbetter D; Aczon M; Wetzel R
    AMIA Annu Symp Proc; 2017; 2017():883-891. PubMed ID: 29854155
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset.
    Aczon MD; Ledbetter DR; Laksana E; Ho LV; Wetzel RC
    Pediatr Crit Care Med; 2021 Jun; 22(6):519-529. PubMed ID: 33710076
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of Electronic Medical Record Vital Sign Data Versus a Commercially Available Acuity Score in Predicting Need for Critical Intervention at a Tertiary Children's Hospital.
    da Silva YS; Hamilton MF; Horvat C; Fink EL; Palmer F; Nowalk AJ; Winger DG; Clark RS
    Pediatr Crit Care Med; 2015 Sep; 16(7):644-51. PubMed ID: 25901545
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
    Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
    PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impact of Retrieval, Distance Traveled, and Referral Center on Outcomes in Unplanned Admissions to a National PICU.
    Moynihan K; McSharry B; Reed P; Buckley D
    Pediatr Crit Care Med; 2016 Feb; 17(2):e34-42. PubMed ID: 26673843
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model.
    Sikora A; Rafiei A; Rad MG; Keats K; Smith SE; Devlin JW; Murphy DJ; Murray B; Kamaleswaran R;
    Crit Care; 2023 May; 27(1):167. PubMed ID: 37131200
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploration of critical care data by using unsupervised machine learning.
    Hyun S; Kaewprag P; Cooper C; Hixon B; Moffatt-Bruce S
    Comput Methods Programs Biomed; 2020 Oct; 194():105507. PubMed ID: 32403049
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.
    Nemati S; Holder A; Razmi F; Stanley MD; Clifford GD; Buchman TG
    Crit Care Med; 2018 Apr; 46(4):547-553. PubMed ID: 29286945
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ICU-Acquired Weakness Is Associated With Differences in Clinical Outcomes in Critically Ill Children.
    Field-Ridley A; Dharmar M; Steinhorn D; McDonald C; Marcin JP
    Pediatr Crit Care Med; 2016 Jan; 17(1):53-7. PubMed ID: 26492063
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Long-stay patients in the pediatric intensive care unit.
    Marcin JP; Slonim AD; Pollack MM; Ruttimann UE
    Crit Care Med; 2001 Mar; 29(3):652-7. PubMed ID: 11373438
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach.
    Castiñeira D; Schlosser KR; Geva A; Rahmani AR; Fiore G; Walsh BK; Smallwood CD; Arnold JH; Santillana M
    Respir Care; 2020 Sep; 65(9):1367-1377. PubMed ID: 32879034
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Variability in duration of stay in pediatric intensive care units: a multiinstitutional study.
    Ruttimann UE; Pollack MM
    J Pediatr; 1996 Jan; 128(1):35-44. PubMed ID: 8551419
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records.
    Huang L; Shea AL; Qian H; Masurkar A; Deng H; Liu D
    J Biomed Inform; 2019 Nov; 99():103291. PubMed ID: 31560949
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Do outcomes vary according to the source of admission to the pediatric intensive care unit?
    Odetola FO; Rosenberg AL; Davis MM; Clark SJ; Dechert RE; Shanley TP
    Pediatr Crit Care Med; 2008 Jan; 9(1):20-5. PubMed ID: 18477909
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reorganizing Care With the Implementation of Electronic Medical Records: A Time-Motion Study in the PICU.
    Roumeliotis N; Parisien G; Charette S; Arpin E; Brunet F; Jouvet P
    Pediatr Crit Care Med; 2018 Apr; 19(4):e172-e179. PubMed ID: 29329162
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Effectiveness and efficiency of a Dutch pediatric intensive care unit: validity and application of the Pediatric Risk of Mortality score.
    Gemke RJ; Bonsel GJ; van Vught AJ
    Crit Care Med; 1994 Sep; 22(9):1477-84. PubMed ID: 8062573
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Finding Diagnostic Errors in Children Admitted to the PICU.
    Davalos MC; Samuels K; Meyer AN; Thammasitboon S; Sur M; Roy K; Al-Mutairi A; Singh H
    Pediatr Crit Care Med; 2017 Mar; 18(3):265-271. PubMed ID: 28125548
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach.
    Vranas KC; Jopling JK; Sweeney TE; Ramsey MC; Milstein AS; Slatore CG; Escobar GJ; Liu VX
    Crit Care Med; 2017 Oct; 45(10):1607-1615. PubMed ID: 28640021
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.