Zobrazeno 1 - 10
of 123
pro vyhledávání: '"John J, Dillon"'
Autor:
Ziad M. Zoghby, MD, MBA, Andrea G. Kattah, MD, Kelsey Havlovic, MSN, RN, Dennis Stacy, MAN, RN, CNN, Margaret d’Uscio, APRN, CNP, DNP, Kirk P. Balderes, BS, John Seelman, BS, Karen F. Johnson, MA, John J. Dillon, MD, Alyssa Bishop, MBA, Jackie Vaughn, MA, Amy W. Williams, MD, Rajeev Chaudhry, MBBS, MPH
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 1, Iss 3, Pp 258-266 (2023)
Objective: To describe the design, development, and deployment of an electronic health record (EHR)-based application to manage the Mayo Clinic home dialysis program, improve staff efficiency, and ensure delivery of high-quality clinical care. Patien
Externí odkaz:
https://doaj.org/article/3c2acc555d3047198d2cfaa8a389914f
Autor:
Charat Thongprayoon, Janina Paula T. Sy-Go, Voravech Nissaisorakarn, Carissa Y. Dumancas, Mira T. Keddis, Andrea G. Kattah, Pattharawin Pattharanitima, Saraschandra Vallabhajosyula, Michael A. Mao, Fawad Qureshi, Vesna D. Garovic, John J. Dillon, Stephen B. Erickson, Wisit Cheungpasitporn
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 2119 (2021)
Background: The objectives of this study were to classify patients with serum magnesium derangement on hospital admission into clusters using unsupervised machine learning approach and to evaluate the mortality risks among these distinct clusters. Me
Externí odkaz:
https://doaj.org/article/3ab80296b4334b97afb4bc0d2561f609
Autor:
Charat Thongprayoon, Pradeep Vaitla, Voravech Nissaisorakarn, Michael A. Mao, Jose L. Zabala Genovez, Andrea G. Kattah, Pattharawin Pattharanitima, Saraschandra Vallabhajosyula, Mira T. Keddis, Fawad Qureshi, John J. Dillon, Vesna D. Garovic, Kianoush B. Kashani, Wisit Cheungpasitporn
Publikováno v:
Medical Sciences, Vol 9, Iss 4, p 60 (2021)
Background: We aimed to cluster patients with acute kidney injury at hospital admission into clinically distinct subtypes using an unsupervised machine learning approach and assess the mortality risk among the distinct clusters. Methods: We performed
Externí odkaz:
https://doaj.org/article/a70eba10f5fb45eb912e07f22b64cc4a
Autor:
Charat Thongprayoon, Panupong Hansrivijit, Michael A. Mao, Pradeep K. Vaitla, Andrea G. Kattah, Pattharawin Pattharanitima, Saraschandra Vallabhajosyula, Voravech Nissaisorakarn, Tananchai Petnak, Mira T. Keddis, Stephen B. Erickson, John J. Dillon, Vesna D. Garovic, Wisit Cheungpasitporn
Publikováno v:
Diseases, Vol 9, Iss 3, p 54 (2021)
Background: The objective of this study was to characterize patients with hyponatremia at hospital admission into clusters using an unsupervised machine learning approach, and to evaluate the short- and long-term mortality risk among these distinct c
Externí odkaz:
https://doaj.org/article/b401ef759c134810a5dfd5fb99e6ffdc
Autor:
Charat Thongprayoon, Voravech Nissaisorakarn, Pattharawin Pattharanitima, Michael A. Mao, Andrea G. Kattah, Mira T. Keddis, Carissa Y. Dumancas, Saraschandra Vallabhajosyula, Tananchai Petnak, Stephen B. Erickson, John J. Dillon, Vesna D. Garovic, Kianoush B. Kashani, Wisit Cheungpasitporn
Publikováno v:
Medicina, Vol 57, Iss 9, p 903 (2021)
Background and Objectives: Despite the association between hyperchloremia and adverse outcomes, mortality risks among patients with hyperchloremia have not consistently been observed among all studies with different patient populations with hyperchlo
Externí odkaz:
https://doaj.org/article/6ae8648aadcd44489035b3fa5bcd0c69
Autor:
Sami Safadi, Robert C. Albright, Jr., John J. Dillon, Amy W. Williams, Fares Alahdab, Julie K. Brown, Amanda L. Severson, Walter K. Kremers, Mary Ann Ryan, Marie C. Hogan
Publikováno v:
Kidney International Reports, Vol 2, Iss 4, Pp 695-704 (2017)
Extracorporeal circuit (EC) anticoagulation with heparin is a key advance in hemodialysis (HD), but anticoagulation is problematic in inpatients at risk of bleeding. We prospectively evaluated a heparin-avoidance HD protocol, clotting of the EC circu
Externí odkaz:
https://doaj.org/article/19ef482730c4487cbb3b7572cdc44de6
Autor:
Voravech Nissaisorakarn, Andrea G. Kattah, Arvind Garg, John J. Dillon, Grace Y. Chong, Stephen B. Erickson, Charat Thongprayoon, Michael A Mao, Wisit Cheungpasitporn, Pattharawin Pattharanitima, Mira T. Keddis, Vesna D. Garovic
Publikováno v:
Journal of Nephrology. 35:921-929
The objective of this study was to characterize hypernatremia patients at hospital admission into clusters using an unsupervised machine learning approach and to evaluate the mortality risk among these distinct clusters. We performed consensus cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8fdc0f58ca0cecfe839335e94ae3bf1
https://doi.org/10.1007/s40620-021-01163-2
https://doi.org/10.1007/s40620-021-01163-2
Autor:
Zachi I. Attia, Christopher V. DeSimone, John J. Dillon, Yehu Sapir, Virend K. Somers, Jennifer L. Dugan, Charles J. Bruce, Michael J. Ackerman, Samuel J. Asirvatham, Bryan L. Striemer, Jan Bukartyk, Christopher G. Scott, Kevin E. Bennet, Dorothy J. Ladewig, Emily J. Gilles, Dan Sadot, Amir B. Geva, Paul A. Friedman
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 5, Iss 1 (2016)
BackgroundHyper‐ and hypokalemia are clinically silent, common in patients with renal or cardiac disease, and are life threatening. A noninvasive, unobtrusive, blood‐free method for tracking potassium would be an important clinical advance. Metho
Externí odkaz:
https://doaj.org/article/f1038c6c939448e4a229c7e36af56e65
Autor:
Pattharawin Pattharanitima, Michael A Mao, Andrea G. Kattah, Voravech Nissaisorakarn, Fawad Qureshi, Carissa Y Dumancas, Charat Thongprayoon, John J. Dillon, Stephen B. Erickson, Vesna D. Garovic, Mira T. Keddis, Saraschandra Vallabhajosyula, Wisit Cheungpasitporn, Janina Paula T. Sy-Go
Publikováno v:
Diagnostics
Diagnostics, Vol 11, Iss 2119, p 2119 (2021)
Volume 11
Issue 11
Diagnostics, Vol 11, Iss 2119, p 2119 (2021)
Volume 11
Issue 11
Background: The objectives of this study were to classify patients with serum magnesium derangement on hospital admission into clusters using unsupervised machine learning approach and to evaluate the mortality risks among these distinct clusters. Me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb9c318185368c3e79c17d6c0f12c650
http://europepmc.org/articles/PMC8619519
http://europepmc.org/articles/PMC8619519
Autor:
Guido Gembillo, Saraschandra Vallabhajosyula, Charat Thongprayoon, Supavit Chesdachai, Wisit Kaewput, Fawad Qureshi, Wisit Cheungpasitporn, Oisin A. O'Corragain, Michael A Mao, Narat Srivali, Vesna D. Garovic, Pattharawin Pattharanitima, John J. Dillon, Tananchai Petnak
Publikováno v:
Journal of Personalized Medicine, Vol 11, Iss 1132, p 1132 (2021)
Journal of Personalized Medicine
Volume 11
Issue 11
Journal of Personalized Medicine
Volume 11
Issue 11
Background: Lactic acidosis is a heterogeneous condition with multiple underlying causes and associated outcomes. The use of multi-dimensional patient data to subtype lactic acidosis can personalize patient care. Machine learning consensus clustering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24a47c1609d4f6699df71b6cd51de8b8
https://www.mdpi.com/2075-4426/11/11/1132
https://www.mdpi.com/2075-4426/11/11/1132