143 related articles for article (PubMed ID: 37558976)
21. Identification of distinct clinical phenotypes of cardiogenic shock using machine learning consensus clustering approach.
Wang L; Zhang Y; Yao R; Chen K; Xu Q; Huang R; Mao Z; Yu Y
BMC Cardiovasc Disord; 2023 Aug; 23(1):426. PubMed ID: 37644414
[TBL] [Abstract][Full Text] [Related]
22. The Diagnosis-Wide Landscape of Hospital-Acquired AKI.
Jannot AS; Burgun A; Thervet E; Pallet N
Clin J Am Soc Nephrol; 2017 Jun; 12(6):874-884. PubMed ID: 28495862
[TBL] [Abstract][Full Text] [Related]
23. The economic impact of acute kidney injury in England.
Kerr M; Bedford M; Matthews B; O'Donoghue D
Nephrol Dial Transplant; 2014 Jul; 29(7):1362-8. PubMed ID: 24753459
[TBL] [Abstract][Full Text] [Related]
24. Medication use and hospital-acquired acute kidney injury: an electronic health record-based study.
Li L; Baker J; Rathnayake K; Kotwal S; Westbrook JI; Day R; Endre Z
Intern Med J; 2023 Sep; 53(9):1625-1633. PubMed ID: 36264150
[TBL] [Abstract][Full Text] [Related]
25. Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study.
Chua HR; Zheng K; Vathsala A; Ngiam KY; Yap HK; Lu L; Tiong HY; Mukhopadhyay A; MacLaren G; Lim SL; Akalya K; Ooi BC
J Med Internet Res; 2021 Dec; 23(12):e30805. PubMed ID: 34951595
[TBL] [Abstract][Full Text] [Related]
26. Effect of weekend admission on mortality associated with severe acute kidney injury in England: A propensity score matched, population-based study.
Kolhe NV; Fluck RJ; Taal MW
PLoS One; 2017; 12(10):e0186048. PubMed ID: 29016687
[TBL] [Abstract][Full Text] [Related]
27. Acute Kidney Injury in Primary Care: A Review of Patient Follow-Up, Mortality, and Hospital Admissions following the Introduction of an AKI Alert System.
Barton AL; Williams SBM; Dickinson SJ; Parry RG; Pollard A
Nephron; 2020; 144(10):498-505. PubMed ID: 32818930
[TBL] [Abstract][Full Text] [Related]
28. Electronic health record identification of nephrotoxin exposure and associated acute kidney injury.
Goldstein SL; Kirkendall E; Nguyen H; Schaffzin JK; Bucuvalas J; Bracke T; Seid M; Ashby M; Foertmeyer N; Brunner L; Lesko A; Barclay C; Lannon C; Muething S
Pediatrics; 2013 Sep; 132(3):e756-67. PubMed ID: 23940245
[TBL] [Abstract][Full Text] [Related]
29. Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.
Churpek MM; Carey KA; Edelson DP; Singh T; Astor BC; Gilbert ER; Winslow C; Shah N; Afshar M; Koyner JL
JAMA Netw Open; 2020 Aug; 3(8):e2012892. PubMed ID: 32780123
[TBL] [Abstract][Full Text] [Related]
30. The Concomitant Use of Diuretics, Non-Steroidal Anti-Inflammatory Drugs, and Angiotensin-Converting Enzyme Inhibitors or Angiotensin Receptor Blockers (Triple Whammy), Extreme Heat, and In-Hospital Acute Kidney Injury in Older Medical Patients.
Mangoni AA; Kholmurodova F; Mayner L; Hakendorf P; Woodman RJ
Adv Ther; 2017 Nov; 34(11):2534-2541. PubMed ID: 29116624
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Community-acquired versus hospital-acquired acute kidney injury at a large Australian metropolitan quaternary referral centre: incidence, associations and outcomes.
Bendall AC; See EJ; Toussaint ND; Fazio T; Tan SJ
Intern Med J; 2023 Aug; 53(8):1366-1375. PubMed ID: 35491485
[TBL] [Abstract][Full Text] [Related]
33. Comparison of the seasonal patterns of asthma identified in general practitioner episodes, hospital admissions, and deaths.
Fleming DM; Cross KW; Sunderland R; Ross AM
Thorax; 2000 Aug; 55(8):662-5. PubMed ID: 10899242
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Identifying Patients With Heart Failure Who Are Susceptible to De Novo Acute Kidney Injury: Machine Learning Approach.
Hong C; Sun Z; Hao Y; Dong Z; Gu Z; Huang Z
JMIR Med Inform; 2022 Oct; 10(10):e37484. PubMed ID: 36240002
[TBL] [Abstract][Full Text] [Related]
36. Electronic health records accurately predict renal replacement therapy in acute kidney injury.
Low S; Vathsala A; Murali TM; Pang L; MacLaren G; Ng WY; Haroon S; Mukhopadhyay A; Lim SL; Tan BH; Lau T; Chua HR
BMC Nephrol; 2019 Jan; 20(1):32. PubMed ID: 30704418
[TBL] [Abstract][Full Text] [Related]
37. Risk Factors for Recurrent Acute Kidney Injury in a Large Population-Based Cohort.
Liu KD; Yang J; Tan TC; Glidden DV; Zheng S; Pravoverov L; Hsu CY; Go AS
Am J Kidney Dis; 2019 Feb; 73(2):163-173. PubMed ID: 30482577
[TBL] [Abstract][Full Text] [Related]
38. Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England.
Scott J; Finch T; Bevan M; Maniatopoulos G; Gibbins C; Yates B; Kilimangalam N; Sheerin N; Kanagasundaram NS
BMJ Open; 2019 Dec; 9(12):e032925. PubMed ID: 31831546
[TBL] [Abstract][Full Text] [Related]
39. Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.
Liu K; Zhang X; Chen W; Yu ASL; Kellum JA; Matheny ME; Simpson SQ; Hu Y; Liu M
JAMA Netw Open; 2022 Jul; 5(7):e2219776. PubMed ID: 35796212
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
