Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2015 1
2016 1
2018 8
2019 17
2020 23
2021 22
2022 9
2023 10
2024 1

Text availability

Article attribute

Article type

Publication date

Search Results

84 results

Results by year

Filters applied: . Clear all
Page 1
Distinct clinical profiles and post-transplant outcomes among kidney transplant recipients with lower education levels: uncovering patterns through machine learning clustering.
Thongprayoon C, Miao J, Jadlowiec C, Mao SA, Mao M, Leeaphorn N, Kaewput W, Pattharanitima P, Garcia Valencia OA, Tangpanithandee S, Krisanapan P, Suppadungsuk S, Nissaisorakarn P, Cooper M, Cheungpasitporn W. Thongprayoon C, et al. Among authors: kaewput w. Ren Fail. 2023;45(2):2292163. doi: 10.1080/0886022X.2023.2292163. Epub 2023 Dec 12. Ren Fail. 2023. PMID: 38087474 Free PMC article.
Effect of intradialytic weight resistance training exercise in sarcopenic hemodialysis patients: A randomized controlled trial.
Chaovarin C, Chaiprasert A, Satirapoj B, Nata N, Kaewput W, Tangwonglert T, Varothai N, Thimachai P, Tasanavipas P, Inkong P, Siriwattanasit N, Khrongkab N, Supasyndh O. Chaovarin C, et al. Among authors: kaewput w. Ther Apher Dial. 2024 Apr;28(2):182-191. doi: 10.1111/1744-9987.14076. Epub 2023 Oct 24. Ther Apher Dial. 2024. PMID: 37873724 Clinical Trial.
Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care.
Thongprayoon C, Tangpanithandee S, Jadlowiec CC, Mao SA, Mao MA, Vaitla P, Acharya PC, Leeaphorn N, Kaewput W, Pattharanitima P, Suppadungsuk S, Krisanapan P, Nissaisorakarn P, Cooper M, Craici IM, Cheungpasitporn W. Thongprayoon C, et al. Among authors: kaewput w. J Pers Med. 2023 Aug 19;13(8):1273. doi: 10.3390/jpm13081273. J Pers Med. 2023. PMID: 37623523 Free PMC article.
Differences between Kidney Transplant Recipients from Deceased Donors with Diabetes Mellitus as Identified by Machine Learning Consensus Clustering.
Thongprayoon C, Miao J, Jadlowiec CC, Mao SA, Mao MA, Leeaphorn N, Kaewput W, Pattharanitima P, Tangpanithandee S, Krisanapan P, Nissaisorakarn P, Cooper M, Cheungpasitporn W. Thongprayoon C, et al. Among authors: kaewput w. J Pers Med. 2023 Jul 3;13(7):1094. doi: 10.3390/jpm13071094. J Pers Med. 2023. PMID: 37511707 Free PMC article.
Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering.
Thongprayoon C, Miao J, Jadlowiec CC, Mao SA, Mao MA, Vaitla P, Leeaphorn N, Kaewput W, Pattharanitima P, Tangpanithandee S, Krisanapan P, Nissaisorakarn P, Cooper M, Cheungpasitporn W. Thongprayoon C, et al. Among authors: kaewput w. Medicina (Kaunas). 2023 May 18;59(5):977. doi: 10.3390/medicina59050977. Medicina (Kaunas). 2023. PMID: 37241209 Free PMC article.
Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering.
Thongprayoon C, Vaitla P, Jadlowiec CC, Leeaphorn N, Mao SA, Mao MA, Qureshi F, Kaewput W, Qureshi F, Tangpanithandee S, Krisanapan P, Pattharanitima P, Acharya PC, Nissaisorakarn P, Cooper M, Cheungpasitporn W. Thongprayoon C, et al. Among authors: kaewput w. Medicines (Basel). 2023 Mar 27;10(4):25. doi: 10.3390/medicines10040025. Medicines (Basel). 2023. PMID: 37103780 Free PMC article.
Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by machine learning consensus clustering.
Thongprayoon C, Jadlowiec CC, Mao SA, Mao MA, Leeaphorn N, Kaewput W, Pattharanitima P, Nissaisorakarn P, Cooper M, Cheungpasitporn W. Thongprayoon C, et al. Among authors: kaewput w. BMJ Surg Interv Health Technol. 2023 Feb 20;5(1):e000137. doi: 10.1136/bmjsit-2022-000137. eCollection 2023. BMJ Surg Interv Health Technol. 2023. PMID: 36843871 Free PMC article.
Differences between kidney retransplant recipients as identified by machine learning consensus clustering.
Thongprayoon C, Vaitla P, Jadlowiec CC, Mao SA, Mao MA, Acharya PC, Leeaphorn N, Kaewput W, Pattharanitima P, Tangpanithandee S, Krisanapan P, Nissaisorakarn P, Cooper M, Cheungpasitporn W. Thongprayoon C, et al. Among authors: kaewput w. Clin Transplant. 2023 May;37(5):e14943. doi: 10.1111/ctr.14943. Epub 2023 Feb 27. Clin Transplant. 2023. PMID: 36799718
84 results