Postoperative and postdischarge nausea and vomiting following ambulatory eye, head, and neck surgeries: a retrospective cohort study comparing incidence and associated factors

Autor: Mark Xiao, Dongdong Yao, Kara G. Fields, Pankaj Sarin, Alvaro Andres Macias, Sunil Eappen, Jeremy Juang

Publikováno v: Perioperative Medicine, Vol 13, Iss 1, Pp 1-7 (2024)

Abstract Background Ambulatory surgery is often followed by the development of nausea and/or vomiting (N/V). Although risk factors for postoperative nausea and vomiting (PONV) are frequently discussed, the distinction between PONV and postdischarge n

Externí odkaz: https://doaj.org/article/5ba347a155af44c6bd632ba2c464a5f1

Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol

Autor: Rui Providência, Gregory Y H Lip, Gary S Collins, Oliver C Redfern, Tatjana Petrinic, Peter J Watkinson, David A Clifton, Jie Ma, Jochen D Muehlschlegel, Kara G Fields, Hassan Alhassan, Anthony Eze, Ankith Reddy, Mona Hedayat, Jonathan P Bedford, Benjamin O’Brien

Publikováno v: BMJ Open, Vol 13, Iss 3 (2023)

Introduction Dozens of multivariable prediction models for atrial fibrillation after cardiac surgery (AFACS) have been published, but none have been incorporated into regular clinical practice. One of the reasons for this lack of adoption is poor mod

Externí odkaz: https://doaj.org/article/b6d6588cb607448b8367f1aa3c8ad2cc

Multivariable prediction models for atrial fibrillation after cardiac surgery:a systematic review protocol

Autor: Kara G Fields, Jie Ma, Tatjana Petrinic, Hassan Alhassan, Anthony Eze, Ankith Reddy, Mona Hedayat, Rui Providencia, Gregory Y H Lip, Jonathan P Bedford, David A Clifton, Oliver C Redfern, Benjamin O’Brien, Peter J Watkinson, Gary S Collins, Jochen D Muehlschlegel

Publikováno v: Fields, K G, Ma, J, Petrinic, T, Alhassan, H, Eze, A, Reddy, A, Hedayat, M, Providencia, R, Lip, G Y H, Bedford, J P, Clifton, D A, Redfern, O C, O'Brien, B, Watkinson, P J, Collins, G S & Muehlschlegel, J D 2023, ' Multivariable prediction models for atrial fibrillation after cardiac surgery : a systematic review protocol ', BMJ Open, vol. 13, no. 3, e067260 . https://doi.org/10.1136/bmjopen-2022-067260

Introduction: Dozens of multivariable prediction models for atrial fibrillation after cardiac surgery (AFACS) have been published, but none have been incorporated into regular clinical practice. One of the reasons for this lack of adoption is poor mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0776da812003cbbd988ad394847c1e6
https://vbn.aau.dk/da/publications/f3a810aa-25fb-4afc-9693-2fb1762af29b

Inconsistent Methodology as a Barrier to Meaningful Research Outputs From Studies of Atrial Fibrillation After Cardiac Surgery

Autor: Kurt Ruetzler, Gregory Y.H. Lip, Niall G Campbell, Kara G. Fields, Jochen D. Muehlschlegel, Benjamin O'Brien, Jakob Wollborn

Publikováno v: Campbell, N G, Wollborn, J, Fields, K G, Lip, G Y H, Ruetzler, K, Muehlschlegel, J D & O'Brien, B 2022, ' Inconsistent Methodology as a Barrier to Meaningful Research Outputs From Studies of Atrial Fibrillation After Cardiac Surgery ', Journal of Cardiothoracic and Vascular Anesthesia, vol. 36, no. 3, pp. 739-745 . https://doi.org/10.1053/j.jvca.2021.10.009
J Cardiothorac Vasc Anesth

Atrial fibrillation after cardiac surgery (AFACS) is a serious postoperative complication. There is significant research interest in this field but also relevant heterogeneity in reported AFACS definitions and approaches used for its identification.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79b4e3d2f3d91231c1084c4d368ec26d
https://doi.org/10.1053/j.jvca.2021.10.009

A tutorial on generative adversarial networks with application to classification of imbalanced data

Autor: Yuxiao Huang, Kara G. Fields, Yan Ma

Publikováno v: Statistical Analysis and Data Mining: The ASA Data Science Journal. 15:543-552

A challenge unique to classification model development is imbalanced data. In a binary classification problem, class imbalance occurs when one class, the minority group, contains significantly fewer samples than the other class, the majority group. I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47886c647382840673660fca4a895fd4
https://doi.org/10.1002/sam.11570