BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 35234175)

  • 1. 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]  

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases.
    Peng S; Huang J; Liu X; Deng J; Sun C; Tang J; Chen H; Cao W; Wang W; Duan X; Luo X; Peng S
    Front Cardiovasc Med; 2022; 9():994359. PubMed ID: 36312291
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. The eICU Collaborative Research Database, a freely available multi-center database for critical care research.
    Pollard TJ; Johnson AEW; Raffa JD; Celi LA; Mark RG; Badawi O
    Sci Data; 2018 Sep; 5():180178. PubMed ID: 30204154
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The relationship between hematocrit and serum albumin levels difference and mortality in elderly sepsis patients in intensive care units-a retrospective study based on two large database.
    Wang Z; Zhang L; Li S; Xu F; Han D; Wang H; Huang T; Yin H; Lyu J
    BMC Infect Dis; 2022 Jul; 22(1):629. PubMed ID: 35850582
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Characterizing the Patients, Hospitals, and Data Quality of the eICU Collaborative Research Database.
    O'Halloran HM; Kwong K; Veldhoen RA; Maslove DM
    Crit Care Med; 2020 Dec; 48(12):1737-1743. PubMed ID: 33044284
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The effectiveness of interventions to meet family needs of critically ill patients in an adult intensive care unit: a systematic review update.
    Kynoch K; Chang A; Coyer F; McArdle A
    JBI Database System Rev Implement Rep; 2016 Mar; 14(3):181-234. PubMed ID: 27532144
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. The Global Open Source Severity of Illness Score (GOSSIS).
    Raffa JD; Johnson AEW; O'Brien Z; Pollard TJ; Mark RG; Celi LA; Pilcher D; Badawi O
    Crit Care Med; 2022 Jul; 50(7):1040-1050. PubMed ID: 35354159
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Open datasets in perioperative medicine: a narrative review.
    Lim L; Lee HC
    Anesth Pain Med (Seoul); 2023 Jul; 18(3):213-219. PubMed ID: 37691592
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ARDS in intensive care units.
    Wang Z; Zhang L; Huang T; Yang R; Cheng H; Wang H; Yin H; Lyu J
    Heart Lung; 2023; 58():74-81. PubMed ID: 36423504
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Interpretable machine learning models for predicting 90-day death in patients in the intensive care unit with epilepsy.
    She Y; Zhou L; Li Y
    Seizure; 2024 Jan; 114():23-32. PubMed ID: 38035490
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Value of early critical care transthoracic echocardiography for patients undergoing mechanical ventilation: a retrospective study.
    Jiang H; Xu W; Chen W; Pan L; Yu X; Ye Y; Fang Z; Zhang X; Chen Z; Shu J; Pan J
    BMJ Open; 2021 Oct; 11(10):e048646. PubMed ID: 34675012
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exercise rehabilitation following intensive care unit discharge for recovery from critical illness.
    Connolly B; Salisbury L; O'Neill B; Geneen L; Douiri A; Grocott MP; Hart N; Walsh TS; Blackwood B;
    Cochrane Database Syst Rev; 2015 Jun; 2015(6):CD008632. PubMed ID: 26098746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Connected Intensive Care Unit Patient: Exploratory Analyses and Cohort Discovery From a Critical Care Telemedicine Database.
    Essay P; Shahin TB; Balkan B; Mosier J; Subbian V
    JMIR Med Inform; 2019 Jan; 7(1):e13006. PubMed ID: 30679148
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset.
    Oliver M; Allyn J; Carencotte R; Allou N; Ferdynus C
    J Biomed Inform; 2023 Oct; 146():104502. PubMed ID: 37769828
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. The Search for Optimal Oxygen Saturation Targets in Critically Ill Patients: Observational Data From Large ICU Databases.
    van den Boom W; Hoy M; Sankaran J; Liu M; Chahed H; Feng M; See KC
    Chest; 2020 Mar; 157(3):566-573. PubMed ID: 31589844
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study.
    Huang B; Liang D; Zou R; Yu X; Dan G; Huang H; Liu H; Liu Y
    Ann Transl Med; 2021 May; 9(9):794. PubMed ID: 34268407
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.