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 *

143 related articles for article (PubMed ID: 33338667)

  • 21. Electronic Medical Record-Based Predictive Model for Acute Kidney Injury in an Acute Care Hospital.
    Laszczyńska O; Severo M; Azevedo A
    Stud Health Technol Inform; 2016; 228():810-2. PubMed ID: 27577501
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU].
    Lin K; Xie JQ; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 50(2):239-244. PubMed ID: 29643521
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A novel multivariable time series prediction model for acute kidney injury in general hospitalization.
    Xu J; Hu Y; Liu H; Mi W; Li G; Guo J; Feng Y
    Int J Med Inform; 2022 May; 161():104729. PubMed ID: 35279551
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?
    Cheng P; Waitman LR; Hu Y; Liu M
    AMIA Annu Symp Proc; 2017; 2017():565-574. PubMed ID: 29854121
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.
    Gottlieb ER; Samuel M; Bonventre JV; Celi LA; Mattie H
    Adv Chronic Kidney Dis; 2022 Sep; 29(5):431-438. PubMed ID: 36253026
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predicting acute kidney injury using urinary liver-type fatty-acid binding protein and serum N-terminal pro-B-type natriuretic peptide levels in patients treated at medical cardiac intensive care units.
    Naruse H; Ishii J; Takahashi H; Kitagawa F; Nishimura H; Kawai H; Muramatsu T; Harada M; Yamada A; Motoyama S; Matsui S; Hayashi M; Sarai M; Watanabe E; Izawa H; Ozaki Y
    Crit Care; 2018 Aug; 22(1):197. PubMed ID: 30119691
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Modest Impact of Serial Measurements of Acute Kidney Injury Biomarkers in an Adult Intensive Care Unit.
    Isshiki R; Asada T; Sumida M; Hamasaki Y; Nangaku M; Noiri E; Doi K
    Nephron; 2018; 139(3):243-253. PubMed ID: 29614509
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A prospective study of acute kidney injury in the intensive care unit: development and validation of a risk prediction model.
    Wang Q; Tang Y; Zhou J; Qin W
    J Transl Med; 2019 Nov; 17(1):359. PubMed ID: 31690326
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database.
    Fujarski M; Porschen C; Plagwitz L; Brenner A; Ghoreishi N; Thoral P; de Grooth HJ; Elbers P; Weiss R; Meersch M; Zarbock A; von Groote TC; Varghese J
    Stud Health Technol Inform; 2022 May; 294():139-140. PubMed ID: 35612039
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements.
    Sun M; Baron J; Dighe A; Szolovits P; Wunderink RG; Isakova T; Luo Y
    Stud Health Technol Inform; 2019 Aug; 264():368-372. PubMed ID: 31437947
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The epidemiology and characteristics of acute kidney injury in the Southeast Asia intensive care unit: a prospective multicentre study.
    Srisawat N; Kulvichit W; Mahamitra N; Hurst C; Praditpornsilpa K; Lumlertgul N; Chuasuwan A; Trongtrakul K; Tasnarong A; Champunot R; Bhurayanontachai R; Kongwibulwut M; Chatkaew P; Oranrigsupak P; Sukmark T; Panaput T; Laohacharoenyot N; Surasit K; Keobounma T; Khositrangsikun K; Suwattanasilpa U; Pattharanitima P; Santithisadeekorn P; Wanitchanont A; Peerapornrattana S; Loaveeravat P; Leelahavanichkul A; Tiranathanagul K; Kerr SJ; Tungsanga K; Eiam-Ong S; Sitprija V; Kellum JA
    Nephrol Dial Transplant; 2020 Oct; 35(10):1729-1738. PubMed ID: 31075172
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Development of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data.
    Sanchez-Pinto LN; Khemani RG
    Pediatr Crit Care Med; 2016 Jun; 17(6):508-15. PubMed ID: 27124567
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Acute Kidney Injury in Chinese HIV-Infected Patients: A Retrospective Analysis from the Intensive Care Unit.
    Pu L; Liu J; Luo Y; Zeng H; Guo H; Hao J; Yin N; Liu Y; Xiong H; Xiong J; Li A
    AIDS Patient Care STDS; 2018 Oct; 32(10):381-389. PubMed ID: 30222370
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision.
    Lee DH; Yetisgen M; Vanderwende L; Horvitz E
    J Biomed Inform; 2020 Jul; 107():103425. PubMed ID: 32348850
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Urinary calprotectin, kidney injury molecule-1, and neutrophil gelatinase-associated lipocalin for the prediction of adverse outcome in pediatric acute kidney injury.
    Westhoff JH; Seibert FS; Waldherr S; Bauer F; Tönshoff B; Fichtner A; Westhoff TH
    Eur J Pediatr; 2017 Jun; 176(6):745-755. PubMed ID: 28409285
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Can admission serum cystatin C level be an early marker subclinical acute kidney injury in critical care patients?
    Gaygısız Ü; Aydoğdu M; Badoğlu M; Boyacı N; Güllü Z; Gürsel G
    Scand J Clin Lab Invest; 2016; 76(2):143-50. PubMed ID: 26767714
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Systematic review of prognostic prediction models for acute kidney injury (AKI) in general hospital populations.
    Hodgson LE; Sarnowski A; Roderick PJ; Dimitrov BD; Venn RM; Forni LG
    BMJ Open; 2017 Sep; 7(9):e016591. PubMed ID: 28963291
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Simpler Machine Learning Model for Acute Kidney Injury Risk Stratification in Hospitalized Patients.
    Hu Y; Liu K; Ho K; Riviello D; Brown J; Chang AR; Singh G; Kirchner HL
    J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233556
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest Model.
    Chiofolo C; Chbat N; Ghosh E; Eshelman L; Kashani K
    Mayo Clin Proc; 2019 May; 94(5):783-792. PubMed ID: 31054606
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Optimal cut points of plasma and urine neutrophil gelatinase-associated lipocalin for the prediction of acute kidney injury among critically ill adults: retrospective determination and clinical validation of a prospective multicentre study.
    Tecson KM; Erhardtsen E; Eriksen PM; Gaber AO; Germain M; Golestaneh L; Lavoria MLA; Moore LW; McCullough PA
    BMJ Open; 2017 Jul; 7(7):e016028. PubMed ID: 28698338
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.