Detalles de la búsqueda
1.
Differences between kidney retransplant recipients as identified by machine learning consensus clustering.
Clin Transplant
; 37(5): e14943, 2023 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36799718
2.
Distinct clinical profiles and post-transplant outcomes among kidney transplant recipients with lower education levels: uncovering patterns through machine learning clustering.
Ren Fail
; 45(2): 2292163, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-38087474
3.
The Association of Beta-Blocker Use and Bone Mineral Density Level in Hemodialysis Patients: A Cross-Sectional Study.
Medicina (Kaunas)
; 59(1)2023 Jan 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-36676753
4.
Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering.
Medicina (Kaunas)
; 59(5)2023 May 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-37241209
5.
Prevalence and Outcomes Associated with Hyperuricemia in Hospitalized Patients with COVID-19.
Am J Nephrol
; 53(1): 78-86, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-34883482
6.
Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Kidney Transplant Recipients With DGF and Associated Outcomes.
Transpl Int
; 35: 10810, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36568137
7.
Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering.
Medicina (Kaunas)
; 58(12)2022 Dec 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36557033
8.
Hyperglycemia is Associated With Increased Mortality in Critically Ill Patients With COVID-19.
Endocr Pract
; 27(2): 95-100, 2021 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-33551315
9.
Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury.
Blood Purif
; 50(4-5): 621-627, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33631752
10.
Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus Clustering.
Medicina (Kaunas)
; 57(9)2021 Aug 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-34577826
11.
Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.
Kidney Int
; 97(2): 383-392, 2020 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-31883805
12.
The epidemiology and characteristics of acute kidney injury in the Southeast Asia intensive care unit: a prospective multicentre study.
Nephrol Dial Transplant
; 35(10): 1729-1738, 2020 10 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31075172
13.
Perception of social networking benefits in the support of a PBL module according to students' performance levels.
J Med Assoc Thai
; 98 Suppl 2: S77-83, 2015 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-26211108
14.
Safety and efficacy of glucagon-like peptide-1 receptor agonists among kidney transplant recipients: a systematic review and meta-analysis.
Clin Kidney J
; 17(2): sfae018, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38410684
15.
Safety and Efficacy of GLP-1 Receptor Agonists in Type 2 Diabetes Mellitus with Advanced and End-Stage Kidney Disease: A Systematic Review and Meta-Analysis.
Diseases
; 12(1)2024 Jan 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-38248365
16.
The Prediction Score of Acute Kidney Injury in Patients with Severe COVID-19 Infection.
J Clin Med
; 12(13)2023 Jun 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-37445447
17.
Risk Factors and Predictive Model for Mortality of Hospitalized COVID-19 Elderly Patients from a Tertiary Care Hospital in Thailand.
Medicines (Basel)
; 10(11)2023 Oct 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-37999199
18.
Predictors for Unsuccessful Reductions in Hemodialysis Frequency during the Pandemic.
J Clin Med
; 12(7)2023 Mar 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-37048634
19.
Revolutionizing Chronic Kidney Disease Management with Machine Learning and Artificial Intelligence.
J Clin Med
; 12(8)2023 Apr 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-37109354
20.
Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by machine learning consensus clustering.
BMJ Surg Interv Health Technol
; 5(1): e000137, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36843871