Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Grishchuck, Diana"'
Autor:
Aldraimli, Mahmoud, Osman, Sarah, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila EA, Soria, Daniele, Dwek, Miriam V, Aguado-Barrera, Miguel E, Azria, David, Chang-Claude, Jenny, Dunning, Alison, Giraldo, Alexandra, Green, Sheryl, Gutiérrez-Enríquez, Sara, Herskind, Carsten, Van Hulle, Hans, Lambrecht, Maarten, Lozza, Laura, Rancati, Tiziana, Reyes, Victoria, Rosenstein, Barry S, De Ruysscher, Dirk, De Santis, Maria C, Seibold, Petra, Sperk, Elena, Symonds, R Paul, Stobart, Hilary, Taboada-Valadares, Begoña, Talbot, Christopher J, Vakaet, Vincent JL, Vega, Ana, Veldeman, Liv, Veldwijk, Marlon R, Webb, Adam, Weltens, Caroline, West, Catharine M, Chaussalet, Thierry J, Rattay, Tim, REQUITE Consortium
PURPOSE: Some patients with breast cancer treated by surgery and radiation therapy experience clinically significant toxicity, which may adversely affect cosmesis and quality of life. There is a paucity of validated clinical prediction models for rad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9530658cff57a1da42e592ffc08b9f64
https://www.repository.cam.ac.uk/handle/1810/338713
https://www.repository.cam.ac.uk/handle/1810/338713
Autor:
Aldraimli, Mahmoud, Soria, Daniele, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E.A., Osman, Sarah, Dwek, Miriam V., Azria, David, Chang-Claude, Jenny, Gutiérrez-Enríquez, Sara, De Santis, Maria Carmen, Rosenstein, Barry S., De Ruysscher, Dirk, Sperk, Elena, Symonds, R Paul, Stobart, Hilary, Vega, Ana, Veldeman, Liv, Webb, Adam, Talbot, Christopher J., West, Catharine M., Rattay, Tim, Chaussalet, Thierry J., REQUITE Consortium
Publikováno v:
Computers in Biology and Medicine, 135:104624. Elsevier Science
The prediction by classification of side effects incidence in a given medical treatment is a common challenge in medical research. Machine Learning (ML) methods are widely used in the areas of risk prediction and classification. The primary objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b961c2f8a6f76a66fd171ba49eb2c8c
Autor:
Aldraimli M; Health Innovation Ecosystem, University of Westminster, London, United Kingdom., Osman S; Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, United Kingdom., Grishchuck D; Imperial College Healthcare NHS Trust, London, United Kingdom., Ingram S; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom., Lyon R; Department of Computer Science, Edge Hill University, Ormskirk, Lancashire, United Kingdom., Mistry A; Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom., Oliveira J; Mirada Medical, Oxford, United Kingdom., Samuel R; University of Leeds, Leeds Cancer Centre, St. James's University Hospital, Leeds, United Kingdom., Shelley LEA; Edinburgh Cancer Centre, Western General Hospital, Edinburgh, United Kingdom., Soria D; School of Computing, University of Kent, Canterbury, United Kingdom., Dwek MV; School of Life Sciences, University of Westminster, London, United Kingdom., Aguado-Barrera ME; Fundación Publica Galega Medicina Xenomica, Santiago de Compostela, Spain.; Instituto de Investigación Sanitaria de Santiago (IDIS), Servicio Galego de Saúde (SERGAS), Santiago de Compostela, Spain., Azria D; University of Montpellier, Montpellier, France., Chang-Claude J; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; UKE University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Dunning A; Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, United Kingdom., Giraldo A; Radiation Oncology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Hospital Campus, Barcelona, Spain., Green S; Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York., Gutiérrez-Enríquez S; Hereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Hospital Campus, Barcelona, Spain., Herskind C; Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany., van Hulle H; Department of Human Structure and Repair, Ghent University, Ghent, Belgium., Lambrecht M; Department of Radiation Oncology, University Hospital, Leuven, Belgium., Lozza L; Department of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy., Rancati T; Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy., Reyes V; Radiation Oncology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Hospital Campus, Barcelona, Spain., Rosenstein BS; Icahn School of Medicine at Mount Sinai, New York, New York., de Ruysscher D; Maastricht University Medical Center, Department of Radiation Oncology (Maastro), GROW, Maastricht, The Netherlands., de Santis MC; Department of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy., Seibold P; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany., Sperk E; Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany., Symonds RP; Cancer Research Centre, University of Leicester, Leicester, United Kingdom., Stobart H; Independent Cancer Patients' Voice, London, United Kingdom., Taboada-Valadares B; Fundación Publica Galega Medicina Xenomica, Santiago de Compostela, Spain.; Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, Servicio Galego de Saúde (SERGAS), Santiago de Compostela, Spain., Talbot CJ; Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom., Vakaet VJL; Department of Human Structure and Repair, Ghent University, Ghent, Belgium., Vega A; Fundación Publica Galega Medicina Xenomica, Santiago de Compostela, Spain.; Instituto de Investigación Sanitaria de Santiago (IDIS), Servicio Galego de Saúde (SERGAS), Santiago de Compostela, Spain.; Biomedical Network on Rare Diseases (CIBERER), Madrid, Spain., Veldeman L; Department of Human Structure and Repair, Ghent University, Ghent, Belgium., Veldwijk MR; Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany., Webb A; Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom., Weltens C; Department of Radiation Oncology, University Hospital, Leuven, Belgium., West CM; University of Manchester, Christie Hospital, Manchester, United Kingdom., Chaussalet TJ; Health Innovation Ecosystem, University of Westminster, London, United Kingdom., Rattay T; Cancer Research Centre, University of Leicester, Leicester, United Kingdom.
Publikováno v:
Advances in radiation oncology [Adv Radiat Oncol] 2022 Jan 03; Vol. 7 (3), pp. 100890. Date of Electronic Publication: 2022 Jan 03 (Print Publication: 2022).
Autor:
Aldraimli M; The Health Innovation Ecosystem, University of Westminster, London, UK. Electronic address: w1654353@my.westminster.ac.uk., Soria D; School of Computing, University of Kent, Canterbury, UK., Grishchuck D; Imperial College Healthcare NHS Trust, London, UK., Ingram S; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, UK., Lyon R; Department of Computer Science, Edge Hill University, Ormskirk, Lancashire, UK., Mistry A; Guy's and St Thomas' NHS Foundation Trust, London, UK., Oliveira J; Mirada Medical, Oxford, UK., Samuel R; University of Leeds, Leeds Cancer Centre, St. James's University Hospital, Leeds, UK., Shelley LEA; Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh, UK., Osman S; Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK., Dwek MV; School of Life Sciences, University of Westminster, London, UK., Azria D; University of Montpellier, France., Chang-Claude J; German Cancer Research Center (DKFZ) Division of Cancer Epidemiology, Unit of Genetic Epidemiology, Heidelberg, Germany., Gutiérrez-Enríquez S; Vall d'Hebron Institute of Oncology, Barcelona, Spain., De Santis MC; Dept of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy., Rosenstein BS; Prostate Cancer Program, Mount Sinai School of Medicine, New York, USA., De Ruysscher D; Maastricht Radiation Oncology (MAASTRO Clinic) University Hospital Maastricht, the Netherlands., Sperk E; Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany., Symonds RP; Department of Oncology, Leicester Royal Infirmary, UK., Stobart H; Independent Cancer Patients' Voice, London, UK., Vega A; Fundación Publica Galega Medicina Xenomica, Santiago de Compostela, Spain., Veldeman L; Department of Basic Medical Sciences, University Hospital Ghent, Belgium., Webb A; Department of Genetics and Genome Biology, University of Leicester, UK., Talbot CJ; Cancer Research Centre, University of Leicester, Leicester, UK., West CM; Institute of Cancer Sciences, Christie Hospital, Wilmslow Road, Manchester, UK., Rattay T; Cancer Research Centre, University of Leicester, Leicester, UK., Chaussalet TJ; The Health Innovation Ecosystem, University of Westminster, London, UK.
Publikováno v:
Computers in biology and medicine [Comput Biol Med] 2021 Aug; Vol. 135, pp. 104624. Date of Electronic Publication: 2021 Jul 05.