BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

200 related articles for article (PubMed ID: 31967217)

  • 1. What every intensivist should know about Big Data and targeted machine learning in the intensive care unit.
    Cherifa M; Pirracchio R
    Rev Bras Ter Intensiva; 2019; 31(4):444-446. PubMed ID: 31967217
    [No Abstract]   [Full Text] [Related]  

  • 2. Prediction on critically ill patients: The role of "big data".
    Bulgarelli L; Deliberato RO; Johnson AEW
    J Crit Care; 2020 Dec; 60():64-68. PubMed ID: 32763775
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Big Data Analysis and Machine Learning in Intensive Care Medicine: Identifying new ethical and legal challenges.
    Lazcoz Moratinos G; de Miguel Beriain I
    Med Intensiva (Engl Ed); 2020; 44(5):319-320. PubMed ID: 31924445
    [No Abstract]   [Full Text] [Related]  

  • 4. In reply to «Big Data Analysis and Machine Learning in Intensive Care Medicine: Identifying new ethical and legal challenges».
    Núñez Reiz A; Sánchez García M
    Med Intensiva (Engl Ed); 2020; 44(5):320. PubMed ID: 32113732
    [No Abstract]   [Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. What every intensivist should know about intensive care unit admission criteria.
    White ST; Cardenas YR; Nates JL
    Rev Bras Ter Intensiva; 2017; 29(4):414-417. PubMed ID: 29340534
    [No Abstract]   [Full Text] [Related]  

  • 8. What every intensivist should know about the management of peritonitis in the intensive care unit.
    Waele JJ
    Rev Bras Ter Intensiva; 2018 Mar; 30(1):9-14. PubMed ID: 29742214
    [No Abstract]   [Full Text] [Related]  

  • 9. Big Data and Data Science in Critical Care.
    Sanchez-Pinto LN; Luo Y; Churpek MM
    Chest; 2018 Nov; 154(5):1239-1248. PubMed ID: 29752973
    [TBL] [Abstract][Full Text] [Related]  

  • 10. What every intensivist needs to know about subsyndromal delirium in the intensive care unit.
    Serafim RB; Paulino MC; Povoa P
    Rev Bras Ter Intensiva; 2020 Mar; 32(1):14-16. PubMed ID: 32401995
    [No Abstract]   [Full Text] [Related]  

  • 11. Big data and targeted machine learning in action to assist medical decision in the ICU.
    Pirracchio R; Cohen MJ; Malenica I; Cohen J; Chambaz A; Cannesson M; Lee C; Resche-Rigon M; Hubbard A;
    Anaesth Crit Care Pain Med; 2019 Aug; 38(4):377-384. PubMed ID: 30339893
    [TBL] [Abstract][Full Text] [Related]  

  • 12. What's new in ICU in 2050: big data and machine learning.
    Bailly S; Meyfroidt G; Timsit JF
    Intensive Care Med; 2018 Sep; 44(9):1524-1527. PubMed ID: 29279970
    [No Abstract]   [Full Text] [Related]  

  • 13. Monitoring Big Data During Mechanical Ventilation in the ICU.
    Smallwood CD
    Respir Care; 2020 Jun; 65(6):894-910. PubMed ID: 32457178
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. What every intensivist should know about using high-flow nasal oxygen for critically ill patients.
    Dres M; Demoule A
    Rev Bras Ter Intensiva; 2017; 29(4):399-403. PubMed ID: 29211185
    [No Abstract]   [Full Text] [Related]  

  • 16. Artificial intelligence in intensive care: are we there yet?
    Komorowski M
    Intensive Care Med; 2019 Sep; 45(9):1298-1300. PubMed ID: 31236638
    [No Abstract]   [Full Text] [Related]  

  • 17. 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]  

  • 18. Data quality and blockchain technology.
    Bellini V; Petroni A; Palumbo G; Bignami E
    Anaesth Crit Care Pain Med; 2019 Oct; 38(5):521-522. PubMed ID: 30633992
    [No Abstract]   [Full Text] [Related]  

  • 19. What every intensivist should know about handovers in the intensive care unit.
    D'Empaire PP; Amaral ACK
    Rev Bras Ter Intensiva; 2017; 29(2):121-123. PubMed ID: 28977251
    [No Abstract]   [Full Text] [Related]  

  • 20. Big data and machine learning algorithms for health-care delivery.
    Ngiam KY; Khor IW
    Lancet Oncol; 2019 May; 20(5):e262-e273. PubMed ID: 31044724
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.