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 *

160 related articles for article (PubMed ID: 38668882)

  • 1. [Data-driven intensive care: a lack of comprehensive datasets].
    Hardenberg JB
    Med Klin Intensivmed Notfmed; 2024 Jun; 119(5):352-357. PubMed ID: 38668882
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example.
    Thoral PJ; Peppink JM; Driessen RH; Sijbrands EJG; Kompanje EJO; Kaplan L; Bailey H; Kesecioglu J; Cecconi M; Churpek M; Clermont G; van der Schaar M; Ercole A; Girbes ARJ; Elbers PWG;
    Crit Care Med; 2021 Jun; 49(6):e563-e577. PubMed ID: 33625129
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Salzburg Intensive Care database (SICdb): a detailed exploration and comparative analysis with MIMIC-IV.
    Sadeghi S; Hempel L; Rodemund N; Kirsten T
    Sci Rep; 2024 May; 14(1):11438. PubMed ID: 38763952
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Harnessing Big Data in Critical Care: Exploring a new European Dataset.
    Rodemund N; Wernly B; Jung C; Cozowicz C; Koköfer A
    Sci Data; 2024 Mar; 11(1):320. PubMed ID: 38548745
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.
    Sauer CM; Dam TA; Celi LA; Faltys M; de la Hoz MAA; Adhikari L; Ziesemer KA; Girbes A; Thoral PJ; Elbers P
    Crit Care Med; 2022 Jun; 50(6):e581-e588. PubMed ID: 35234175
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database.
    Harris S; Shi S; Brealey D; MacCallum NS; Denaxas S; Perez-Suarez D; Ercole A; Watkinson P; Jones A; Ashworth S; Beale R; Young D; Brett S; Singer M
    Int J Med Inform; 2018 Apr; 112():82-89. PubMed ID: 29500026
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study.
    Ke Y; Yang R; Liu N
    J Med Internet Res; 2024 Apr; 26():e48330. PubMed ID: 38630522
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Big Data Analysis and Machine Learning in Intensive Care Units.
    Núñez Reiz A; Armengol de la Hoz MA; Sánchez García M
    Med Intensiva (Engl Ed); 2019 Oct; 43(7):416-426. PubMed ID: 30591356
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Técnicas Big data para el uso secundario de datos clínicos para la creación de conocimiento medico. La solución MIMIC.
    Borrat X; Celi LA; Ferrando C
    Rev Esp Anestesiol Reanim (Engl Ed); 2019 Dec; 66(10):555-558. PubMed ID: 31708153
    [No Abstract]   [Full Text] [Related]  

  • 10. Data-driven ICU management: Using Big Data and algorithms to improve outcomes.
    Carra G; Salluh JIF; da Silva Ramos FJ; Meyfroidt G
    J Crit Care; 2020 Dec; 60():300-304. PubMed ID: 32977139
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Big Data Warehouse for Healthcare-Sensitive Data Applications.
    Shahid A; Nguyen TN; Kechadi MT
    Sensors (Basel); 2021 Mar; 21(7):. PubMed ID: 33800574
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ICU management based on big data.
    Falini S; Angelotti G; Cecconi M
    Curr Opin Anaesthesiol; 2020 Apr; 33(2):162-169. PubMed ID: 32022730
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hope, hype and harms of Big Data.
    Scott IA
    Intern Med J; 2019 Jan; 49(1):126-129. PubMed ID: 30680901
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Big data and machine learning in critical care: Opportunities for collaborative research.
    ; Núñez Reiz A; Martínez Sagasti F; Álvarez González M; Blesa Malpica A; Martín Benítez JC; Nieto Cabrera M; Del Pino Ramírez Á; Gil Perdomo JM; Prada Alonso J; Celi LA; Armengol de la Hoz MÁ; Deliberato R; Paik K; Pollard T; Raffa J; Torres F; Mayol J; Chafer J; González Ferrer A; Rey Á; González Luengo H; Fico G; Lombroni I; Hernandez L; López L; Merino B; Cabrera MF; Arredondo MT; Bodí M; Gómez J; Rodríguez A; Sánchez García M
    Med Intensiva (Engl Ed); 2019; 43(1):52-57. PubMed ID: 30077427
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Position paper on management of personal data in environment and health research in Europe.
    Eva G; Liese G; Stephanie B; Petr H; Leslie M; Roel V; Martine V; Sergi B; Mette H; Sarah J; Laura RM; Arnout S; Morris A S; Jan T; Xenia T; Nina V; Koert VE; Sylvie R; Greet S
    Environ Int; 2022 Jul; 165():107334. PubMed ID: 35696847
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ricu: R's interface to intensive care data.
    Bennett N; Plečko D; Ukor IF; Meinshausen N; Bühlmann P
    Gigascience; 2022 Dec; 12():. PubMed ID: 37318234
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database.
    Adibuzzaman M; DeLaurentis P; Hill J; Benneyworth BD
    AMIA Annu Symp Proc; 2017; 2017():384-392. PubMed ID: 29854102
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation.
    Lim L; Gim U; Cho K; Yoo D; Ryu HG; Lee HC
    Crit Care; 2024 Mar; 28(1):76. PubMed ID: 38486247
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Do data security measures, privacy regulations, and communication standards impact the interoperability of patient health information? A cross-country investigation.
    Shrivastava U; Song J; Han BT; Dietzman D
    Int J Med Inform; 2021 Apr; 148():104401. PubMed ID: 33571743
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.
    Vos G; Trinh K; Sarnyai Z; Rahimi Azghadi M
    J Biomed Inform; 2023 Dec; 148():104556. PubMed ID: 38048895
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.