Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Journals

1. Gan F, Chen W, Liu H, Zhong Y. Application of artificial intelligence models for detecting the pterygium that requires surgical treatment based on anterior segment images. Frontiers in Neuroscience 2022;16 View
2. Bai Q, Tang W. Artificial intelligence in peritoneal dialysis: general overview. Renal Failure 2022;44(1):682 View
3. Cheng C, Lin W, Liu H, Chen Y, Chiang C, Hung K. Implementation of artificial intelligence Chatbot in peritoneal dialysis nursing care: Experience from a Taiwan medical center. Nephrology 2023;28(12):655 View
4. Zhang K, Liu C, Zhao H. Meta-analysis of haematocrit and activated partial thromboplastin time as risk factors for unplanned interruptions in patients undergoing continuous renal replacement therapy. The International Journal of Artificial Organs 2023;46(8-9):498 View
5. Kong G, Wang J, Lin H, Bao B, Friedman C, Zhang L. Transforming Health Care Through a Learning Health System Approach in the Digital Era: Chronic Kidney Disease Management in China. Health Data Science 2023;3 View
6. Mushtaq M, Mushtaq M, Ali H, Sarwar M, Bokhari S. Artificial intelligence and machine learning in peritoneal dialysis: a systematic review of clinical outcomes and predictive modeling. International Urology and Nephrology 2024;56(12):3857 View
7. Zhang M, Zheng Y, Maidaiti X, Liang B, Wei Y, Sun F. Integrating Machine Learning into Statistical Methods in Disease Risk Prediction Modeling: A Systematic Review. Health Data Science 2024;4 View
8. Hsu F, Hwang R, Tsai M, Wang J. Predicting Peritoneal Dialysis Failure Within the Next Three Months Based on Deep Learning and Important Features Analysis. Information 2024;15(12):776 View
9. Janse R, Milders J, Rotmans J, Caskey F, Evans M, Torino C, Szymczak M, Drechsler C, Wanner C, Pippias M, Vilasi A, Stel V, Chesnaye N, Jager K, Dekker F, van Diepen M, Schneider A, Torp A, Iwig B, Perras B, Marx C, Blaser C, Emde C, Krieter D, Fuchs D, Irmler E, Platen E, Schmidt-Gürtler H, Schlee H, Naujoks H, Schlee I, Cäsar S, Beige J, Röthele J, Mazur J, Hahn K, Blouin K, Neumeier K, Anding-Rost K, Schramm L, Hopf M, Wuttke N, Frischmuth N, Ichtiaris P, Kirste P, Schulz P, Aign S, Biribauer S, Manan S, Röser S, Heidenreich S, Palm S, Schwedler S, Delrieux S, Renker S, Schättel S, Stephan T, Schmiedeke T, Weinreich T, Leimbach T, Stövesand T, Bahner U, Seeger W, Cupisti A, Sagliocca A, Ferraro A, Mele A, Naticchia A, Còsaro A, Ranghino A, Stucchi A, Pignataro A, De Blasio A, Pani A, Tsalouichos A, Antonio B, Di Iorio B, Alessandra B, Abaterusso C, Somma C, D’alessandro C, Zullo C, Pozzi C, Bergamo D, Ciurlino D, Motta D, Russo D, Favaro E, Vigotti F, Ansali F, Conte F, Cianciotta F, Giacchino F, Cappellaio F, Pizzarelli F, Greco G, Porto G, Bigatti G, Marinangeli G, Cabiddu G, Fumagalli G, Caloro G, Piccoli G, Capasso G, Gambaro G, Tognarelli G, Bonforte G, Conte G, Toscano G, Del Rosso G, Capizzi I, Baragetti I, Oldrizzi L, Gesualdo L, Biancone L, Magnano M, Ricardi M, Di Bari M, Laudato M, Sirico M, Ferraresi M, Provenzano M, Malaguti M, Palmieri N, Murrone P, Cirillo P, Dattolo P, Acampora P, Nigro R, Boero R, Scarpioni R, Sicoli R, Malandra R, Savoldi S, Bertoli S, Borrelli S, Maxia S, Maffei S, Mangano S, Cicchetti T, Rappa T, Palazzo V, De Simone W, Schrander A, van Dam B, Siegert C, Gaillard C, Beerenhout C, Verburgh C, Janmaat C, Hoogeveen E, Hoorn E, Dekker F, Boots J, Boom H, Eijgenraam J, Kooman J, Rotmans J, Jager K, Vogt L, Raasveld M, Vervloet M, van Buren M, Chesnaye N, Leurs P, Voskamp P, Blankestijn P, van Esch S, Boorsma S, Berger S, Konings C, Aydin Z, Musiała A, Szymczak A, Olczyk E, Augustyniak-Bartosik H, Miśkowiec-Wiśniewska I, Manitius J, Pondel J, Jędrzejak K, Nowańska K, Nowak Ł, Durlik M, Dorota S, Nieszporek T, Heleniak Z, Jonsson A, Blom A, Rogland B, Wallquist C, Vargas D, Dimény E, Sundelin F, Uhlin F, Welander G, Hernandez I, Gröntoft K, Stendahl M, Svensson M, Heimburger O, Kashioulis P, Melander S, Almquist T, Jensen U, Woodman A, McKeever A, Ullah A, McLaren B, Harron C, Barrett C, O’Toole C, Summersgill C, Geddes C, Glowski D, McGlynn D, Sands D, Caskey F, Roy G, Hirst G, King H, McNally H, Masri-Senghor H, Murtagh H, Rayner H, Turner J, Wilcox J, Berdeprado J, Wong J, Banda J, Jones K, Haydock L, Wilkinson L, Carmody M, Weetman M, Joinson M, Dutton M, Matthews M, Morgan N, Bleakley N, Cockwell P, Roderick P, Mason P, Kalra P, Sajith R, Chapman S, Navjee S, Crosbie S, Brown S, Tickle S, Mathavakkannan S, Kuan Y. Predicting Hospitalization and Related Outcomes in Advanced Chronic Kidney Disease: A Systematic Review, External Validation, and Development Study. Kidney Medicine 2025:101016 View
10. Yetman H, Chan L. Artificial Intelligence and Its Future Impact on Peritoneal Dialysis. Kidney and Dialysis 2025;5(2):20 View