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: 27532061)

  • 1. icuARM-II: improving the reliability of personalized risk prediction in pediatric intensive care units.
    Cheng CW; Chanani N; Maher K; Wang
    ACM BCB; 2014 Sep; 2014():211-219. PubMed ID: 27532061
    [TBL] [Abstract][Full Text] [Related]  

  • 2. icuARM-An ICU Clinical Decision Support System Using Association Rule Mining.
    Cheng CW; Chanani N; Venugopalan J; Maher K; Wang MD
    IEEE J Transl Eng Health Med; 2013; 1(1):122-31. PubMed ID: 27170860
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving Personalized Clinical Risk Prediction Based on Causality-Based Association Rules.
    Cheng CW; Wang MD
    ACM BCB; 2015 Sep; 2015():386-392. PubMed ID: 27532063
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit.
    Zhu Y; Venugopalan J; Zhang Z; Chanani NK; Maher KO; Wang MD
    Front Artif Intell; 2022; 5():640926. PubMed ID: 35481281
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records.
    Nielsen AB; Thorsen-Meyer HC; Belling K; Nielsen AP; Thomas CE; Chmura PJ; Lademann M; Moseley PL; Heimann M; Dybdahl L; Spangsege L; Hulsen P; Perner A; Brunak S
    Lancet Digit Health; 2019 Jun; 1(2):e78-e89. PubMed ID: 33323232
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of mortality in Intensive Care Units: a multivariate feature selection.
    Monteiro F; Meloni F; Baranauskas JA; Macedo AA
    J Biomed Inform; 2020 Jul; 107():103456. PubMed ID: 32454242
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Standard technical specifications for methacholine chloride (Methacholine) bronchial challenge test (2023)].
    ; ;
    Zhonghua Jie He He Hu Xi Za Zhi; 2024 Feb; 47(2):101-119. PubMed ID: 38309959
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study.
    Wu Y; Huang S; Chang X
    BMC Med Inform Decis Mak; 2021 Nov; 21(1):334. PubMed ID: 34839820
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study.
    Persson I; Grünwald A; Morvan L; Becedas D; Arlbrandt M
    JMIR Form Res; 2023 Dec; 7():e45979. PubMed ID: 38096015
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a dynamic delirium prediction rule in patients admitted to the Intensive Care Units (DYNAMIC-ICU): A prospective cohort study.
    Fan H; Ji M; Huang J; Yue P; Yang X; Wang C; Ying W
    Int J Nurs Stud; 2019 May; 93():64-73. PubMed ID: 30861455
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients With Acute Kidney Injury.
    Neyra JA; Ortiz-Soriano V; Liu LJ; Smith TD; Li X; Xie D; Adams-Huet B; Moe OW; Toto RD; Chen J
    Am J Kidney Dis; 2023 Jan; 81(1):36-47. PubMed ID: 35868537
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Simplified Mortality Score for the Intensive Care Unit (SMS-ICU): protocol for the development and validation of a bedside clinical prediction rule.
    Granholm A; Perner A; Krag M; Hjortrup PB; Haase N; Holst LB; Marker S; Collet MO; Jensen AK; Møller MH
    BMJ Open; 2017 Mar; 7(3):e015339. PubMed ID: 28279999
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients.
    Zhao S; Tang G; Liu P; Wang Q; Li G; Ding Z
    Int J Gen Med; 2023; 16():3151-3161. PubMed ID: 37525648
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combination of static and temporal data analysis to predict mortality and readmission in the intensive care.
    Venugopalan J; Chanani N; Maher K; Wang MD
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2570-2573. PubMed ID: 29060424
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Personalized mortality prediction driven by electronic medical data and a patient similarity metric.
    Lee J; Maslove DM; Dubin JA
    PLoS One; 2015; 10(5):e0127428. PubMed ID: 25978419
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Rating the quality of intensive care units: is it a function of the intensive care unit scoring system?
    Glance LG; Osler TM; Dick A
    Crit Care Med; 2002 Sep; 30(9):1976-82. PubMed ID: 12352029
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel mortality prediction model for the current population in an adult intensive care unit.
    Fika S; Nanas S; Baltopoulos G; Charitidou E; Myrianthefs P
    Heart Lung; 2018; 47(1):10-15. PubMed ID: 29217106
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction.
    Niu K; Zhang K; Peng X; Pan Y; Xiao N
    Front Mol Biosci; 2023; 10():1136071. PubMed ID: 36968273
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.