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384 results on '"Myles, Puja"'

8. The Impact of Bias on Drift Detection in AI Health Software

Author

Khoshravan Azar, Asal, Draghi, Barbara, Rotalinti, Ylenia, Myles, Puja, Tucker, Allan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Juarez, Jose M., editor, Marcos, Mar, editor, Stiglic, Gregor, editor, and Tucker, Allan, editor

Published
2023
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9. Detecting Drift in Healthcare AI Models Based on Data Availability

Author

Rotalinti, Ylenia, Tucker, Allan, Lonergan, Michael, Myles, Puja, Branson, Richard, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Koprinska, Irena, editor, Mignone, Paolo, editor, Guidotti, Riccardo, editor, Jaroszewicz, Szymon, editor, Fröning, Holger, editor, Gullo, Francesco, editor, Ferreira, Pedro M., editor, Roqueiro, Damian, editor, Ceddia, Gaia, editor, Nowaczyk, Slawomir, editor, Gama, João, editor, Ribeiro, Rita, editor, Gavaldà, Ricard, editor, Masciari, Elio, editor, Ras, Zbigniew, editor, Ritacco, Ettore, editor, Naretto, Francesca, editor, Theissler, Andreas, editor, Biecek, Przemyslaw, editor, Verbeke, Wouter, editor, Schiele, Gregor, editor, Pernkopf, Franz, editor, Blott, Michaela, editor, Bordino, Ilaria, editor, Danesi, Ivan Luciano, editor, Ponti, Giovanni, editor, Severini, Lorenzo, editor, Appice, Annalisa, editor, Andresini, Giuseppina, editor, Medeiros, Ibéria, editor, Graça, Guilherme, editor, Cooper, Lee, editor, Ghazaleh, Naghmeh, editor, Richiardi, Jonas, editor, Saldana, Diego, editor, Sechidis, Konstantinos, editor, Canakoglu, Arif, editor, Pido, Sara, editor, Pinoli, Pietro, editor, Bifet, Albert, editor, and Pashami, Sepideh, editor

Published
2023
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11. Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

Author

Vollmer, Sebastian, Mateen, Bilal A., Bohner, Gergo, Király, Franz J, Ghani, Rayid, Jonsson, Pall, Cumbers, Sarah, Jonas, Adrian, McAllister, Katherine S. L., Myles, Puja, Granger, David, Birse, Mark, Branson, Richard, Moons, Karel GM, Collins, Gary S, Ioannidis, John P. A., Holmes, Chris, and Hemingway, Harry

Subjects
Computer Science - Computers and Society, Computer Science - Machine Learning, Statistics - Applications, Statistics - Machine Learning, 68T01
Abstract

Machine learning (ML), artificial intelligence (AI) and other modern statistical methods are providing new opportunities to operationalize previously untapped and rapidly growing sources of data for patient benefit. Whilst there is a lot of promising research currently being undertaken, the literature as a whole lacks: transparency; clear reporting to facilitate replicability; exploration for potential ethical concerns; and, clear demonstrations of effectiveness. There are many reasons for why these issues exist, but one of the most important that we provide a preliminary solution for here is the current lack of ML/AI- specific best practice guidance. Although there is no consensus on what best practice looks in this field, we believe that interdisciplinary groups pursuing research and impact projects in the ML/AI for health domain would benefit from answering a series of questions based on the important issues that exist when undertaking work of this nature. Here we present 20 questions that span the entire project life cycle, from inception, data analysis, and model evaluation, to implementation, as a means to facilitate project planning and post-hoc (structured) independent evaluation. By beginning to answer these questions in different settings, we can start to understand what constitutes a good answer, and we expect that the resulting discussion will be central to developing an international consensus framework for transparent, replicable, ethical and effective research in artificial intelligence (AI-TREE) for health., Comment: 25 pages, 2 boxes, 1 figure

Published
2018

12. Symptoms and risk factors for long COVID in non-hospitalized adults

Author

Subramanian, Anuradhaa, Nirantharakumar, Krishnarajah, Hughes, Sarah, Myles, Puja, Williams, Tim, Gokhale, Krishna M., Taverner, Tom, Chandan, Joht Singh, Brown, Kirsty, Simms-Williams, Nikita, Shah, Anoop D., Singh, Megha, Kidy, Farah, Okoth, Kelvin, Hotham, Richard, Bashir, Nasir, Cockburn, Neil, Lee, Siang Ing, Turner, Grace M., Gkoutos, Georgios V., Aiyegbusi, Olalekan Lee, McMullan, Christel, Denniston, Alastair K., Sapey, Elizabeth, Lord, Janet M., Wraith, David C., Leggett, Edward, Iles, Clare, Marshall, Tom, Price, Malcolm J., Marwaha, Steven, Davies, Elin Haf, Jackson, Louise J., Matthews, Karen L., Camaradou, Jenny, Calvert, Melanie, and Haroon, Shamil

Published
2022
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13. Clinical Practice Research Datalink (CPRD)

Author

Gallagher, Arlene M., Kousoulis, Antonis A., Williams, Tim, Valentine, Janet, Myles, Puja, Ahrens, Wolfgang, Series Editor, Pigeot, Iris, Series Editor, Sturkenboom, Miriam, editor, and Schink, Tania, editor

Published
2021
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14. Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks

Author

de Benedetti, Juan, Oues, Namir, Wang, Zhenchen, Myles, Puja, Tucker, Allan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Koprinska, Irena, editor, Kamp, Michael, editor, Appice, Annalisa, editor, Loglisci, Corrado, editor, Antonie, Luiza, editor, Zimmermann, Albrecht, editor, Guidotti, Riccardo, editor, Özgöbek, Özlem, editor, Ribeiro, Rita P., editor, Gavaldà, Ricard, editor, Gama, João, editor, Adilova, Linara, editor, Krishnamurthy, Yamuna, editor, Ferreira, Pedro M., editor, Malerba, Donato, editor, Medeiros, Ibéria, editor, Ceci, Michelangelo, editor, Manco, Giuseppe, editor, Masciari, Elio, editor, Ras, Zbigniew W., editor, Christen, Peter, editor, Ntoutsi, Eirini, editor, Schubert, Erich, editor, Zimek, Arthur, editor, Monreale, Anna, editor, Biecek, Przemyslaw, editor, Rinzivillo, Salvatore, editor, Kille, Benjamin, editor, Lommatzsch, Andreas, editor, and Gulla, Jon Atle, editor

Published
2020
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24. The cost of primary care consultations associated with long COVID in non-hospitalised adults: a retrospective cohort study using UK primary care data

Author

Tufts, Jake, primary, Guan, Naijie, additional, Zemedikun, Dawit, additional, Subramanian, Anuradhaa, additional, Gokhale, Krishna, additional, Myles, Puja, additional, Williams, Tim, additional, Marshall, Tom, additional, Calvert, Melanie, additional, Matthews, Karen, additional, Nirantharakumar, Krishnarajah, additional, Jackson, Louise, additional, and Haroon, Shamil, additional

Published
2023
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28. A study of the impact of statins, ACE inhibitors and gastric acid suppressants on pneumonia risk and mortality using the Health Improvement Network Database

Author

Myles, Puja Runa

Subjects
610.21, WC Communicable diseases
Abstract

Pneumonia is a common diagnosis in general practice and is associated with significant morbidity and mortality. Current estimates of pneumonia incidence in the UK are based on studies more than a decade ago and little is known about longer term outcomes in pneumonia patients. Though much is known about the aetiology of pneumonia and predictors of mortality, an emerging area for research is the relationship between commonly prescribed drugs in general practice and pneumonia. The aims of this thesis were first, to determine overall incidence and mortality for pneumonia and how these vary by socio-demographic characteristics like age, sex, deprivation; and second, to investigate whether statins, angiotensin converting enzyme inhibitors (ACEIs) and gastric acid suppressants like proton pump inhibitors (PPIs) and histamine 2 receptor antagonists (H2RAs) modify the risk of acquiring pneumonia and its prognosis. This study used data from The Health Improvement Network (THIN) database, a longitudinal database of anonymised computerised medical patient records from 330 United Kingdom (UK) general practices at the time of data extraction in 2006. A cohort design was used to determine pneumonia incidence and mortality in the UK. Case-control, case-series and cohort study designs were used to investigate associations between the various drug exposures and pneumonia. The overall incidence of pneumonia was 237 per 100,000 person-years (95 % confidence interval (CI): 235 to 239) and this rate was stable between 1991 and 2003. Pneumonia was more common in men and in children under the age of four years and adults over the age of 65 years. There was an increased incidence of pneumonia with higher levels of socioeconomic disadvantage. Pneumonia cases showed much higher all-cause mortality as compared to the general population, both in the short and long-term and this increase was independent of underlying comorbidity. After adjusting for potential confounders, current prescriptions for statins and ACE inhibitors were associated with a significant reduction in the risk of acquiring pneumonia. Current prescriptions for PPIs were associated with an increased risk of pneumonia. With regards the impact on mortality: the use of statins was associated with a lower risk of short and long-term mortality following pneumonia whereas the use of ACEIs was associated with a decreased mortality risk only in the short-term. No relationship was observed between prescriptions for PPIs, H2RAs and pneumonia mortality. This study shows that caution must be exercised while prescribing proton pump inhibitors especially in patients known to be at high risk of pneumonia. There is also a potential role for statins in preventing pneumonia in at-risk patients and improving pneumonia outcomes but this will necessitate clinical trials to determine adequate dose, duration and safety profiles before any prescribing policy recommendations are made.

Published
2009

30. Reply to Jones et al

Author

Venkatesan, Sudhir, Myles, Puja R., Memish, Ziad, and Nguyen-Van-Tam, Jonathan S.

Published
2017

31. Impact of Outpatient Neuraminidase Inhibitor Treatment in Patients Infected With Influenza A(H1N1)pdm09 at High Risk of Hospitalization: An Individual Participant Data Metaanalysis

Author

Venkatesan, Sudhir, Myles, Puja R., Leonardi-Bee, Jo, Muthuri, Stella G., Al Masri, Malak, Andrews, Nick, Bantar, Carlos, Dubnov-Raz, Gal, Gérardin, Patrick, Koay, Evelyn S. C., Loh, Tze Ping, Memish, Ziad, Miller, Elizabeth, Oliva, Maria E., Rath, Barbara A., Schweiger, Brunhilde, Tang, Julian W., Tran, Dat, Vidmar, Tjasa, Waight, Pauline A., and Nguyen-Van-Tam, Jonathan S.

Published
2017

32. Systematic approach to outcome assessment from coded electronic healthcare records in the DaRe2THINK NHS-embedded randomized trial

Author

Wang, Xiaoxia, Mobley, Alastair R, Tica, Otilia, Okoth, Kelvin, Ghosh, Rebecca E, Myles, Puja, Williams, Tim, Haynes, Sandra, Nirantharakumar, Krishnarajah, Shukla, David, Kotecha, Dipak, Beatty, Susan, Mehta, Samir, Breeze, Sophie, Lancaster, Karen, Fordyce, Stuart, Allen, Naomi, Calvert, Melanie, Denniston, Alastair, Gkoutos, George, Jayawardana, Sahan, Ball, Simon, Baigent, Colin, Brocklehurst, Peter, Lester, Will, McManus, Richard, Seri, Stefano, Valentine, Janet, Camm, A John, Moore, Dame Julie, Rogers, Amy, Stanbury, Mary, Flather, Marcus, Walker, Suzy, and Wang, Duolao

Abstract

Aims Improving the efficiency of clinical trials is key to their continued importance in directing evidence-based patient care. Digital innovations, in particular the use of electronic healthcare records (EHRs), allow for large-scale screening and follow up of participants. However, it is critical these developments are accompanied by robust and transparent methods that can support high-quality and high clinical value research. Methods and results The DaRe2THINK trial includes a series of novel processes, including nationwide pseudonymized pre screening of the primary-care EHR across England, digital enrolment, remote e-consent, and ‘no-visit’ follow up by linking all primary- and secondary-care health data with patient-reported outcomes. DaRe2THINK is a pragmatic, healthcare-embedded randomized trial testing whether earlier use of direct oral anticoagulants in patients with prior or current atrial fibrillation can prevent thromboembolic events and cognitive decline (www.birmingham.ac.uk/dare2think). This study outlines the systematic approach and methodology employed to define patient information and outcome events. This includes transparency on all medical code lists and phenotypes used in the trial across a variety of national data sources, including Clinical Practice Research Datalink Aurum (primary care), Hospital Episode Statistics (secondary care), and the Office for National Statistics (mortality). Conclusion Co-designed by a patient and public involvement team, DaRe2THINK presents an opportunity to transform the approach to randomized trials in the setting of routine healthcare, providing high-quality evidence generation in populations representative of the community at risk.

Published
2022

33. Digitally enabled decentralised research: opportunities to improve the efficiency of clinical trials and observational studies

Author

Aiyegbusi, Olalekan Lee, primary, Davies, Elin Haf, additional, Myles, Puja, additional, Williams, Tim, additional, Frost, Chris, additional, Haroon, Shamil, additional, Hughes, Sarah E, additional, Wilson, Roger, additional, McMullan, Christel, additional, Subramanian, Anuradhaa, additional, Nirantharakumar, Krishnarajah, additional, and Calvert, Melanie J, additional

Published
2023
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38. Additional file 3 of Healthcare workers knowledge of cholera multi-stranded interventions and its determining factors in North-East Nigeria: planning and policy implications

Author

Elimian, Kelly, King, Carina, Dewa, Ozius, Pembi, Emmanuel, Gandi, Benjamin, Yennan, Sebastian, Myles, Puja, Pritchard, Catherine, Forsberg, Birger Carl, and Alfvén, Tobias

Abstract

Additional file 3. Association between healthcare workers’ characteristics and knowledge scores for cholera multisectoral interventions.

Published
2023
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39. Additional file 4 of Healthcare workers knowledge of cholera multi-stranded interventions and its determining factors in North-East Nigeria: planning and policy implications

Author

Elimian, Kelly, King, Carina, Dewa, Ozius, Pembi, Emmanuel, Gandi, Benjamin, Yennan, Sebastian, Myles, Puja, Pritchard, Catherine, Forsberg, Birger Carl, and Alfvén, Tobias

Abstract

Additional file 4. The unadjusted ORs for the factors associated with HCWs’ knowledge of cholera interventions.

Published
2023
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40. Additional file 2 of Healthcare workers knowledge of cholera multi-stranded interventions and its determining factors in North-East Nigeria: planning and policy implications

Author

Elimian, Kelly, King, Carina, Dewa, Ozius, Pembi, Emmanuel, Gandi, Benjamin, Yennan, Sebastian, Myles, Puja, Pritchard, Catherine, Forsberg, Birger Carl, and Alfvén, Tobias

Abstract

Additional file 2. STROBE Statement—checklist of items that should be included in reports of observational studies.

Published
2023
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43. Epidemiology, diagnostics and factors associated with mortality during a cholera epidemic in Nigeria, October 2020–October 2021: a retrospective analysis of national surveillance data

Author

Elimian, Kelly, primary, Yennan, Sebastian, additional, Musah, Anwar, additional, Cheshi, Iliya Danladi, additional, King, Carina, additional, Dunkwu, Lauryn, additional, Mohammed, Ahmed Ladan, additional, Ekeng, Eme, additional, Akande, Oluwatosin Wuraola, additional, Ayres, Stephanie, additional, Gandi, Benjamin, additional, Pembi, Emmanuel, additional, Saleh, Fatima, additional, Omar, Ahmed Nasir, additional, Crawford, Emily, additional, Olopha, Olubunmi Omowumi, additional, Nnaji, Robinson, additional, Muhammad, Basheer, additional, Luka-Lawal, Rejoice, additional, Ihueze, Adachioma Chinonso, additional, Olatunji, David, additional, Ojukwu, Chidimma, additional, Akinpelu, Afolabi Muftau, additional, Adaga, Ene, additional, Abubakar, Yusuf, additional, Nwadiuto, Ifeoma, additional, Ngishe, Samuel, additional, Alowooye, Agnes Bosede, additional, Nwogwugwu, Peace Chinma, additional, Kamaldeen, Khadeejah, additional, Abah, Henry Nweke, additional, Chukwuebuka, Egbuna Hyacinth, additional, Yusuff, Hakeem Abiola, additional, Mamadu, Ibrahim, additional, Mohammed, Abbas Aliyu, additional, Peter, Sarah, additional, Abbah, Okpachi Christopher, additional, Oladotun, Popoola Michael, additional, Oifoh, Santino, additional, Olugbile, Micheal, additional, Agogo, Emmanuel, additional, Ndodo, Nnaemeka, additional, Babatunde, Olajumoke, additional, Mba, Nwando, additional, Oladejo, John, additional, Ilori, Elsie, additional, Alfvén, Tobias, additional, Myles, Puja, additional, Ochu, Chinwe Lucia, additional, Ihekweazu, Chikwe, additional, and Adetifa, Ifedayo, additional

Published
2022
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47. COVID-19 mortality rate and its associated factors during the first and second waves in Nigeria

Author

Elimian, Kelly, primary, Musah, Anwar, additional, King, Carina, additional, Igumbor, Ehimario, additional, Myles, Puja, additional, Aderinola, Olaolu, additional, Erameh, Cyril, additional, Nwanchukwu, William, additional, Akande, Oluwatosin, additional, Nicaise, Ndembi, additional, Ogunbode, Oladipo, additional, Egwuenu, Abiodun, additional, Crawford, Emily, additional, Gaudenzi, Giulia, additional, Abdus-Salam, Ismail, additional, Olopha, Olubunmi, additional, Disu, Yahya, additional, Bowale, Abimbola, additional, Oshoma, Cyprian, additional, Ohonsi, Cornelius, additional, Arinze, Chinedu, additional, Badaru, Sikiru, additional, Ebhodaghe, Blessing, additional, Habib, Zaiyad, additional, Olugbile, Michael, additional, Dan-Nwafor, Chioma, additional, Abubakar, Jafiya, additional, Pembi, Emmanuel, additional, Dunkwu, Lauryn, additional, Ike, Ifeanyi, additional, Tobin, Ekaete, additional, Mutiu, Bamidele, additional, Luka-Lawal, Rejoice, additional, Nwafor, Obinna, additional, Okowa, Mildred, additional, Ezeokafor, Chidiebere, additional, Iwara, Emem, additional, Yennan, Sebastian, additional, Eziechina, Sunday, additional, Olatunji, David, additional, Falodun, Lanre, additional, Joseph, Emmanuel, additional, Abali, Ifeanyi, additional, Mohammed, Tarik, additional, Yiga, Benjamin, additional, Kamaldeen, Khadeejah, additional, Agogo, Emmanuel, additional, Mba, Nwando, additional, Oladejo, John, additional, Ilori, Elsie, additional, Aruna, Olusola, additional, Namara, Geoffrey, additional, Obaro, Stephen, additional, Hamza, Khadeejah, additional, Asuzu, Michael, additional, Bello, Shaibu, additional, Okonofua, Friday, additional, Deeni, Yusuf, additional, Abubakar, Ibrahim, additional, Alfven, Tobias, additional, Ochu, Chinwe, additional, and Ihekweazu, Chikwe, additional

Published
2022
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48. Systematic approach to outcome assessment from coded electronic healthcare records in the DaRe2THINK NHS-embedded randomised trial

Author

Wang, Xiaoxia, primary, Mobley, Alastair R, additional, Tica, Otilia, additional, Okoth, Kelvin, additional, Ghosh, Rebecca E, additional, Myles, Puja, additional, Williams, Tim, additional, Haynes, Sandra, additional, Nirantharakumar, Krishnarajah, additional, Shukla, David, additional, and Kotecha, Dipak, additional

Published
2022
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