Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach

Autor: Avi Rosenfeld, PhD, David G Graham, MBBS, Sarah Jevons, PhD, Jose Ariza, RGN, Daryl Hagan, MSc, Ash Wilson, BSc, Samuel J Lovat, Sarmed S Sami, MBBS, Omer F Ahmad, MBBS, Marco Novelli, ProfMBChB, Manuel Rodriguez Justo, MBBS, Alison Winstanley, MBBS, Eliyahu M Heifetz, PhD, Mordehy Ben-Zecharia, PhD, Uria Noiman, PhD, Rebecca C Fitzgerald, ProfMBChB, Peter Sasieni, ProfPhD, Laurence B Lovat, ProfMBBS, Karen Coker, Wanfeng Zhao, Kathryn Brown, Beverley Haynes, Tara Nuckcheddy Grant, Massimiliano di Pietro, Eleanor Dewhurst, Bincy Alias, Leanne Mills, Caroline Wilson, Elizabeth Bird-Lieberman, Jan Bornschein, Yean Lim, Kareem Shariff, Roberto Cayado Lopez, Myrna Udarbe, Claire Shaw, Glynis Rose, Ian Sargeant, M Al-Izzi, Roisin Schimmel, Elizabeth Green, Morgan Moorghen, Reshma Kanani, Mariann Baulf, Jayne Butcher, Adil Butt, Steve Bown, Gideon Lipman, Rami Sweis, Vinay Sehgal, Matthew Banks, Rehan Haidry, John Louis-Auguste, Darina Kohoutova, Sarah Kerr, Victor Eneh, Nigel Butter, Haroon Miah, Rommel Butawan, Grace Adesina, Sabrina Holohan, Joan Idris, Nick Hayes, Shajahan Wahed, Nelson Kath Houghton, Marc Hopton, Anne Eastick, Debasis Majumdar, Kassem Manuf, Lyndsey Fieldson, Helen Bailey, Jacobo Fernandez-Sordo Ortiz, Mina Patel, Suzanne Henry, Samantha Warburton, Jonathan White, Lisa Gadeke, Beverley Longhurst, Richmond Abeseabe, Peter Basford, Rupam Bhattacharyya, Scott Elliot, Roisin Bevan, Carly Brown, Philippa Laverick, Gayle Clifford, Anita Gibbons, Julie Ingmire, Abdullah Mawas, Jacquelyn Harvey, Sharon Cave

Publikováno v: The Lancet: Digital Health, Vol 2, Iss 1, Pp e37-e48 (2020)

Summary: Background: Screening for Barrett's oesophagus relies on endoscopy, which is invasive and few who undergo the procedure are found to have the condition. We aimed to use machine learning techniques to develop and externally validate a simple

Externí odkaz: https://doaj.org/article/a1c2697d1f57456aa1b1b0078466e610

Operational definition of precipitated opioid withdrawal

Autor: Kelly E. Dunn, H. Elizabeth Bird, Cecilia L. Bergeria, Orrin D. Ware, Eric C. Strain, Andrew S. Huhn

Publikováno v: Frontiers in Psychiatry, Vol 14 (2023)

BackgroundOpioid withdrawal can be expressed as both a spontaneous and precipitated syndrome. Although spontaneous withdrawal is well-characterized, there is no operational definition of precipitated opioid withdrawal.MethodsPeople (N = 106) with opi

Externí odkaz: https://doaj.org/article/6e991d923bec4992b5c2e70d0c6c2519

Fentanyl

Autor: Kelly Dunn, H. Elizabeth Bird, Caitlyn J. Durgin

Publikováno v: The Oxford Handbook of Opioids and Opioid Use Disorder ISBN: 9780197618431

Fentanyl is a potent synthetic opioid that was engineered to have good lipid solubility to aid its use in medicinal settings. Fentanyl is relatively easy to synthesize and for this and other reasons it has infiltrated the illicit heroin supply throug

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b57f99dfffa41c92ff3267c837c11bef
https://doi.org/10.1093/oxfordhb/9780197618431.013.13

CHAPTER 4 From Fan Practice to Mediated Moments: The Value of Practice Theory in the Understanding of Media Audiences

Autor: S. Elizabeth Bird

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4cae7777b10ebec9ee12a076ba6a88f1
https://doi.org/10.1515/9781845458546-007

P151 Polyp detection using dye spray chromoendoscopy in patients with serrated polyposis syndrome

Autor: Amelia Bowman, Aisling Murphy, Adam Bailey, Elizabeth Bird-Lieberman, Simon Leedham, James East, Sujata Biswas

Publikováno v: Poster presentations.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bcb66693b410a194306a573d20cd143
https://doi.org/10.1136/gutjnl-2022-bsg.205