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 *

431 related articles for article (PubMed ID: 33949961)

  • 1. Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation.
    Alghatani K; Ammar N; Rezgui A; Shaban-Nejad A
    JMIR Med Inform; 2021 May; 9(5):e21347. PubMed ID: 33949961
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
    Lin Y; Wu JY; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun; 53(3):566-572. PubMed ID: 34145862
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Predicting prolonged length of intensive care unit stay
    Wu JY; Lin Y; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Dec; 53(6):1163-1170. PubMed ID: 34916699
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Decompensation in Critical Care: Early Prediction of Acute Heart Failure Onset.
    Essay P; Balkan B; Subbian V
    JMIR Med Inform; 2020 Aug; 8(8):e19892. PubMed ID: 32663162
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil.
    Kurtz P; Peres IT; Soares M; Salluh JIF; Bozza FA
    Neurocrit Care; 2022 Aug; 37(Suppl 2):313-321. PubMed ID: 35381967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.
    Houthooft R; Ruyssinck J; van der Herten J; Stijven S; Couckuyt I; Gadeyne B; Ongenae F; Colpaert K; Decruyenaere J; Dhaene T; De Turck F
    Artif Intell Med; 2015 Mar; 63(3):191-207. PubMed ID: 25579436
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction algorithm for ICU mortality and length of stay using machine learning.
    Iwase S; Nakada TA; Shimada T; Oami T; Shimazui T; Takahashi N; Yamabe J; Yamao Y; Kawakami E
    Sci Rep; 2022 Jul; 12(1):12912. PubMed ID: 35902633
    [TBL] [Abstract][Full Text] [Related]  

  • 10. INTERPRETABLE MACHINE LEARNING FOR PREDICTING RISK OF INVASIVE FUNGAL INFECTION IN CRITICALLY ILL PATIENTS IN THE INTENSIVE CARE UNIT: A RETROSPECTIVE COHORT STUDY BASED ON MIMIC-IV DATABASE.
    Cao Y; Li Y; Wang M; Wang L; Fang Y; Wu Y; Liu Y; Liu Y; Hao Z; Kang H; Gao H
    Shock; 2024 Jun; 61(6):817-827. PubMed ID: 38407989
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Explainable time-series deep learning models for the prediction of mortality, prolonged length of stay and 30-day readmission in intensive care patients.
    Deng Y; Liu S; Wang Z; Wang Y; Jiang Y; Liu B
    Front Med (Lausanne); 2022; 9():933037. PubMed ID: 36250092
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.
    Thorsen-Meyer HC; Nielsen AB; Nielsen AP; Kaas-Hansen BS; Toft P; Schierbeck J; Strøm T; Chmura PJ; Heimann M; Dybdahl L; Spangsege L; Hulsen P; Belling K; Brunak S; Perner A
    Lancet Digit Health; 2020 Apr; 2(4):e179-e191. PubMed ID: 33328078
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma.
    Staziaki PV; Wu D; Rayan JC; Santo IDO; Nan F; Maybury A; Gangasani N; Benador I; Saligrama V; Scalera J; Anderson SW
    Eur Radiol; 2021 Jul; 31(7):5434-5441. PubMed ID: 33475772
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method.
    Chiu CC; Wu CM; Chien TN; Kao LJ; Li C; Chu CM
    Int J Environ Res Public Health; 2023 Feb; 20(5):. PubMed ID: 36901354
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Predicting ICU readmission using grouped physiological and medication trends.
    Xue Y; Klabjan D; Luo Y
    Artif Intell Med; 2019 Apr; 95():27-37. PubMed ID: 30213670
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission.
    Hu C; Li L; Li Y; Wang F; Hu B; Peng Z
    Infect Dis Ther; 2022 Aug; 11(4):1695-1713. PubMed ID: 35835943
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A deep learning approach for sepsis monitoring via severity score estimation.
    Aşuroğlu T; Oğul H
    Comput Methods Programs Biomed; 2021 Jan; 198():105816. PubMed ID: 33157471
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model.
    Meyfroidt G; Güiza F; Cottem D; De Becker W; Van Loon K; Aerts JM; Berckmans D; Ramon J; Bruynooghe M; Van den Berghe G
    BMC Med Inform Decis Mak; 2011 Oct; 11():64. PubMed ID: 22027016
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Early prediction of ICU readmissions using classification algorithms.
    Loreto M; Lisboa T; Moreira VP
    Comput Biol Med; 2020 Mar; 118():103636. PubMed ID: 32174313
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.