Items where Author, Editor or other role is "Soria, Daniel"

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Number of items: 52.

A

Akyea, Ralph K., Ntaios, George, Kontopantelis, Evangelos, Georgiopoulos, Georgios, Soria, Daniele, Asselbergs, Folkert W., Kai, Joe, Weng, Stephen F., Qureshi, Nadeem (2023) A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach. PLOS Digital Health, 2 (9). Article Number e0000334. E-ISSN 2767-3170. (doi:10.1371/journal.pdig.0000334) (KAR id:102765)

Format: XML Word Processing Document (DOCX)

Aldraimli, Mahmoud, Osman, Sarah, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E.A., Soria, Daniele, and others. (2022) Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort. Advances in Radiation Oncology, 7 (3). Article Number 100890. ISSN 2452-1094. (doi:10.1016/j.adro.2021.100890) (KAR id:93415)

Aldraimli, Mahmoud, Soria, Daniele, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E.A., Osman, Sarah, and others. (2021) A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy. Computers in Biology and Medicine, . Article Number 104624. ISSN 0010-4825. E-ISSN 1879-0534. (doi:10.1016/j.compbiomed.2021.104624) (KAR id:89070)

Aldraimli, M., Soria, D., Parkinson, J., Thomas, E.L., Bell, J.D., Dwek, M.V., Chaussalet, T.J. (2020) Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases. Health and Technology, 10 . pp. 925-944. ISSN 2190-7188. E-ISSN 2190-7196. (doi:10.1007/s12553-020-00446-1) (KAR id:81709)

Agrawal, U., Wagner, C., Garibaldi, J.M., Soria, D. (2019) Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. In: IEEE International Conference on Fuzzy Systems. 2019-J. IEEE (doi:10.1109/FUZZ-IEEE.2019.8858821) (KAR id:98866)

Aldraimli, Mahmoud, Soria, Daniele, Parkinson, James, Whitcher, Brandon, Thomas, E Louise, Bell, Jimmy D, Chaussalet, Thierry J, Dwek, Miriam V (2019) Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. In: XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. Proceedings of MEDICON 2019. IFMBE Proceedings . pp. 679-693. Springer ISBN 978-3-030-31635-8. (KAR id:98941)

Agrawal, Utkarsh, Soria, Daniele, Wagner, Christian, Garibaldi, Jonathan, Ellis, Ian O., Bartlett, John M.S., Cameron, David, Rakha, Emad A., Green, Andrew R. (2019) Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. Artificial Intelligence in Medicine, 97 . pp. 27-37. ISSN 0933-3657. (doi:10.1016/j.artmed.2019.05.002) (KAR id:76421)

Agrawal, Utkarsh and Pinar, Anthony J. and Wagner, Christian and Havens, Timothy C. and Soria, Daniele and Garibaldi, Jonathan M. (2018) Comparison of Fuzzy Integral-Fuzzy Measure based Ensemble Algorithms with the State-of-the-art Ensemble Algorithms. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science . Springer, Cham, Switzerland, pp. 329-341. E-ISBN 978-3-319-91479-4. (doi:10.1007/978-3-319-91473-2_29) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:79610)

Agrawal, U., Soria, D., Wagner, C. (2016) Cancer subtype identification pipeline: A classifusion approach. In: 2016 IEEE Congress on Evolutionary Computation, CEC 2016. 2016 IEEE Congress on Evolutionary Computation (CEC). . pp. 2858-2865. IEEE (doi:10.1109/CEC.2016.7744150) (KAR id:98877)

Aleskandarany, Mohammed A., Soria, D., Green, A.R., Nolan, C., Diez-Rodriguez, Maria, Ellis, I.O., Rakha, E.A (2015) Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification. Breast Cancer Research and Treatment, 151 (2). pp. 325-333. ISSN 0167-6806. (doi:10.1007/s10549-015-3406-3) (KAR id:77396)

Alshareeda, Alaa T., Soria, Daniele, Garibaldi, Jonathan M., Rakha, Emad, Nolan, Christopher, Ellis, Ian O., Green, Andrew R. (2013) Characteristics of basal cytokeratin expression in breast cancer. Breast Cancer Research and Treatment, 139 (1). pp. 23-37. ISSN 0167-6806. E-ISSN 1573-7217. (doi:10.1007/s10549-013-2518-x) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:98894)

Ambrogi, Federico, Raimondi, Elena, Soria, Daniele, Boracchi, Patrizia, Biganzoli, Elia (2008) Cancer profiles by affinity propagation. In: Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. . pp. 650-655. IEEE ISBN 978-1-4244-4061-0. (doi:10.1109/ICMLA.2008.110) (KAR id:98907)

B

Biganzoli, Elia, Coradini, Danila, Ambrogi, Federico, Garibaldi, Jonathan M., Lisboa, Paulo, Soria, Daniele, Green, Andrew R., Pedriali, Massimo, Piantelli, Mauro, Querzoli, Patrizia, and others. (2011) p53 status identifies two subgroups of triple-negative breast cancers with distinct biological features. Japanese Journal of Clinical Oncology, 41 (2). pp. 172-179. ISSN 0368-2811. E-ISSN 1465-3621. (doi:10.1093/jjco/hyq227) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:98901)

C

Craze, Madeleine L, Cheung, Hayley, Jewa, Natasha, Coimbra, Nuno DM, Soria, Daniele, El-Ansari, Rokaya, Aleskandarany, Mohammed A, Cheng, Kiu Wai, Diez-Rodriguez, Maria, Nolan, Christopher C, and others. (2018) MYC regulation of glutamine--proline regulatory axis is key in luminal B breast cancer. British Journal of Cancer, 118 (2). pp. 258-265. ISSN 0007-0920. (doi:10.1038/bjc.2017.387) (KAR id:77398)

D

Duraisingam, Aruna, Palaniappan, Ramaswamy, Soria, Daniele (2021) Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2021). . IEEE (doi:10.1109/EMBC46164.2021.9629882) (KAR id:91421)

E

El-Ansari, Rokaya, Craze, Madeleine L., Alfarsi, Lutfi, Soria, Daniele, Diez-Rodriguez, Maria, Nolan, Christopher C., Ellis, Ian O., Rakha, Emad A., Green, Andrew R. (2019) The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer. Breast cancer research and treatment, 175 (1). pp. 27-38. ISSN 0167-6806. E-ISSN 1573-7217. (doi:10.1007/s10549-018-05111-w) (KAR id:77038)

Elsheikh, Somaia E., Green, Andrew R., Rakha, Emad A., Powe, Des G., Ahmed, Rabab A., Collins, Hilary M., Soria, Daniele, Garibaldi, Jonathan M., Paish, Claire E., Ammar, Amr A., and others. (2009) Global histone modifications in breast cancer correlate with tumor phenotypes, prognostic factors, and patient outcome. Cancer research, 69 (9). pp. 3802-3809. ISSN 0008-5472. E-ISSN 1538-7445. (doi:10.1158/0008-5472.CAN-08-3907) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:76750)

F

Figueredo, Grazziela P, Agrawal, Utkarsh, Mase, Jimiama MM, Mesgarpour, Mohammad, Wagner, Christian, Soria, Daniele, Garibaldi, Jonathan M, Siebers, Peer-Olaf, John, Robert I (2019) Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems, 20 (9). pp. 3324-3336. ISSN 1524-9050. E-ISSN 1558-0016. (doi:10.1109/TITS.2018.2875343) (KAR id:77039)

G

Green, William J.F., Ball, Graham, Hulman, Geoffrey, Johnson, Catherine, Van Schalwyk, Gerry, Ratan, Hari L., Soria, Daniel, Garibaldi, Jonathan M., Parkinson, Richard, Hulman, Joshua, and others. (2016) KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer - a targeted molecular approach. British Journal of Cancer, 115 (2). pp. 236-242. ISSN 0007-0920. (doi:10.1038/bjc.2016.169) (KAR id:77397)

Green, Andrew R., Soria, D., Powe, D.G., Nolan, C.C., Aleskandarany, M., Szász, M.A., Ball, G.R., Garibaldi, J.M., Rakha, E.A., Kulka, J., and others. (2016) Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer. Breast cancer research and treatment, 157 (1). pp. 65-75. ISSN 0167-6806. E-ISSN 1573-7217. (doi:10.1007/s10549-016-3804-1) (KAR id:79609)

Green, Andrew R., Soria, Daniele, Stephen, Jacqueline, Powe, Desmond G., Nolan, Christopher C., Kunkler, Ian, Thomas, Jeremy, Kerr, Gillian R., Jack, Wilma, Cameron, David, and others. (2015) Nottingham prognostic index plus: validation of a clinical decision making tool in breast cancer in an independent series. The Journal of Pathology: Clinical Research, 2 (1). pp. 32-40. E-ISSN 2056-4538. (doi:10.1002/cjp2.32) (KAR id:79606)

Green, A.R., Powe, D.G., Rakha, E.A., Soria, D., Lemetre, C., Nolan, C.C., Barros, F.F.T., Macmillan, R.D., Garibaldi, J.M., Ball, G.R., and others. (2013) Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers. British Journal of Cancer, 109 (7). pp. 1886-1894. ISSN 0007-0920. E-ISSN 1532-1827. (doi:10.1038/bjc.2013.528) (KAR id:98892)

Garibaldi, Jonathan M., Soria, Daniele, Rasmani, Khairul A. (2010) Consensus clustering and fuzzy classification for breast cancer prognosis. In: ECMS 2010 Proceedings. . pp. 15-22. European Council for Modelling and Simulation ISBN 978-0-9564944-1-2. (doi:10.7148/2010-0015-0022) (KAR id:98904)

H

Hussian Mangi, Fayaz, Ahmed Shaikh, Tanweer, Soria, Daniele, Muhammad Waryah, Ali, Din Ujjan, Ikram, Naeem Qureshi, Jawaid, Manzoor Syed, Binafsha (2022) Novel Molecular classification of colorectal cancer and correlation with survival. Saudi Journal of Biological Sciences, . ISSN 1319-562X. (doi:10.1016/j.sjbs.2022.03.014) (KAR id:93613)

L

Liu, Jingxin, Xu, Bolei, Zheng, Chi, Gong, Yuanhao, Garibaldi, Jonathan M., Soria, Daniele, Green, Andrew R., Ellis, Ian O., Zou, Wenbin, Qiu, Guoping and others. (2019) An end-to-end deep learning histochemical scoring system for breast cancer TMA. IEEE Transactions on Medical Imaging, 38 (2). pp. 617-628. ISSN 0278-0062. (doi:10.1109/TMI.2018.2868333) (KAR id:77395)

Liu, J.-F., Dineen, R.A., Avula, S., Chambers, T., Dutta, M., Jaspan, T., MacArthur, D.C., Howarth, S., Soria, D., Quinlan, P., and others. (2018) Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome. British Journal of Neurosurgery, 32 (1). pp. 18-27. (doi:10.1080/02688697.2018.1431204) (KAR id:98872)

Lai, Daphne Teck Ching, Garibaldi, Jonathan M, Soria, Daniele, Roadknight, Christopher M (2014) A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-Means. Central European Journal of Operations Research, 22 (3). pp. 475-499. ISSN 1435-246X. E-ISSN 1613-9178. (doi:10.1007/s10100-013-0318-3) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:98925)

M

Mangi, Fayaz Hussain, Shaikh, Tanweer Ahmed, Soria, Daniele, Qureshi, Jawaid Naeem, Ujjan, Ikram Uddin, Syed, Binafsha Manzoor (2021) Novel molecular classification of colorectal cancer and correlation with long-term survival. Journal Of Clinical Oncology, 39 (15supp). Article Number e15514. ISSN 0732-183X. (doi:10.1200/JCO.2021.39.15_suppl.e15514) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:99030)

R

Razak, Tajul Rosli, Garibaldi, Jonathan M., Wagner, Christian, Pourabdollah, Amir, Soria, Daniele (2020) Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach. IEEE Transactions on Fuzzy Systems, . ISSN 1063-6706. (doi:10.1109/TFUZZ.2020.2969901) (KAR id:80213)

Razak, T.R., Garibaldi, J.M., Wagner, C., Pourabdollah, A., Soria, D. (2019) Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. In: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. . pp. 420-426. (doi:10.1109/SSCI.2018.8628924) (KAR id:98870)

Razak, T.R., Garibaldi, J.M., Wagner, C., Pourabdollah, A., Soria, D. (2017) Interpretability indices for hierarchical fuzzy systems. In: IEEE International Conference on Fuzzy Systems. . Institute of Electrical and Electronics Engineers Inc. (doi:10.1109/FUZZ-IEEE.2017.8015616) (KAR id:98875)

Richens, J.L., Vere, K.-A., Light, R.A., Soria, D., Garibaldi, J., Smith, A.D., Warden, D., Wilcock, G., Bajaj, N., Morgan, K., and others. (2014) Practical detection of a definitive biomarker panel for Alzheimer's disease; comparisons between matched plasma and cerebrospinal fluid. International Journal of Molecular Epidemiology and Genetics, 5 (2). pp. 53-70. (KAR id:98887)

Rakha, E.A., Soria, D., Green, A.R., Lemetre, C., Powe, D.G., Nolan, C.C., Garibaldi, J.M., Ball, G., Ellis, I.O. (2014) Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer. British Journal of Cancer, 110 . pp. 1688-1697. ISSN 0007-0920. E-ISSN 1532-1827. (doi:10.1038/bjc.2014.120) (KAR id:76751)

Reps, J.M., Garibaldi, J.M., Aickelin, U., Soria, D., Gibson, J.E., Hubbard, R.B. (2014) Signalling paediatric side effects using an ensemble of simple study designs. Drug Safety, 37 (3). pp. 163-170. ISSN 0114-5916. (doi:10.1007/s40264-014-0137-z) (KAR id:98889)

Reps, J.M., Garibaldi, J.M., Aickelin, U., Soria, D., Gibson, J.E., Hubbard, R.B. (2014) A novel semisupervised algorithm for rare prescription side effect discovery. IEEE Journal of Biomedical and Health Informatics, 18 (2). pp. 537-547. (doi:10.1109/JBHI.2013.2281505) (KAR id:98888)

Reps, J.M., Garibaldi, J.M., Aickelin, U., Soria, Daniele, Gibson, J., Hubbard, R. (2013) Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Computing, 17 (12). pp. 2381-2397. ISSN 1432-7643. E-ISSN 1433-7479. (doi:10.1007/s00500-013-1097-4) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:98891)

Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B. (2013) Attributes for causal inference in electronic healthcare databases. In: Proceedings - IEEE Symposium on Computer-Based Medical Systems. . pp. 548-549. IEEE E-ISBN 978-1-4799-1053-3. (doi:10.1109/CBMS.2013.6627871) (KAR id:98896)

Roadknight, Chris, Aickelin, Uwe, Ladas, Alex, Soria, Daniele, Scholefield, John, Durrant, Lindy (2012) Biomarker clustering of colorectal cancer data to complement clinical classification. In: 2012 Federated Conference on Computer Science and Information Systems (FedCSIS). . pp. 187-191. IEEE ISBN 978-1-4673-0708-6. (doi:10.2139/ssrn.2828496) (KAR id:98899)

Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B. (2012) Comparing data-mining algorithms developed for longitudinal observational databases. In: 2012 12th UK Workshop on Computational Intelligence, UKCI 2012. . IEEE ISBN 978-1-4673-4391-6. (doi:10.1109/UKCI.2012.6335771) (KAR id:98897)

Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B. (2012) Discovering sequential patterns in a UK general practice database. In: Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics. . pp. 960-963. IEEE ISBN 978-1-4577-2176-2. (doi:10.1109/BHI.2012.6211748) (KAR id:98898)

S

Salem, Hesham, Soria, Daniele, Lund, Jonathan N., Awwad, Amir (2021) A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology. BMC Medical Informatics and Decision Making, 21 (1). ISSN 1472-6947. (doi:10.1186/s12911-021-01585-9) (KAR id:98854)

Salem, H.A., Caddeo, G., McFarlane, J., Patel, K., Cochrane, L., Soria, D., Henley, M., Lund, J. (2018) A multicentre integration of a computer-led follow-up of prostate cancer is valid and safe. BJU International, 122 (3). pp. 418-426. (doi:10.1111/bju.14157) (KAR id:98871)

Soria, D., Garibaldi, J.M. (2017) Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts. In: 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA). . pp. 576-581. IEEE (doi:10.1109/ICMLA.2016.0101) (KAR id:98876)

Soria, Daniele, Garibaldi, Jonathan M., Green, Andrew R., Powe, Desmond G., Nolan, Christopher C., Lemetre, Christophe, Ball, Graham R., Ellis, Ian O. (2013) A quantifier-based fuzzy classification system for breast cancer patients. Artificial Intelligence in Medicine, 58 (3). pp. 175-184. ISSN 0933-3657. E-ISSN 1873-2860. (doi:10.1016/j.artmed.2013.04.006) (KAR id:98893)

Syed, BM, Green, AR, Paish, EC, Soria, Daniele, Garibaldi, J, Morgan, L, Morgan, DAL, Ellis, IO, Cheung, KL (2013) Biology of primary breast cancer in older women treated by surgery: with correlation with long-term clinical outcome and comparison with their younger counterparts. British Journal of Cancer, 108 (5). pp. 1042-1051. ISSN 0007-0920. (doi:10.1038/bjc.2012.601) (KAR id:98922)

Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, Biganzoli, Elia M., Ellis, Ian O. (2011) A 'non-parametric' version of the naive Bayes classifier. Knowledge-Based Systems, 24 (6). pp. 775-784. ISSN 0950-7051. E-ISSN 1872-7409. (doi:10.1016/j.knosys.2011.02.014) (KAR id:98900)

Soria, Daniele, Garibaldi, Jonathan M. (2010) A novel framework to elucidate core classes in a dataset. In: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010. . IEEE ISBN 978-1-4244-6909-3. (doi:10.1109/CEC.2010.5586331) (KAR id:98902)

Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, Green, Andrew R., Powe, Des, Rakha, Emad, Douglas Macmillan, R., Blamey, Roger W., Ball, Graham, Lisboa, Paolo J.G., and others. (2010) A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Computers in Biology and Medicine, 40 (3). pp. 318-330. ISSN 0010-4825. E-ISSN 1879-0534. (doi:10.1016/j.compbiomed.2010.01.003) (KAR id:98903)

Soria, D, Ambrogi, F, Raimondi, E, Boracchi, P., Garibaldi, J.M., Biganzoli, E (2009) Cancer profiles by affinity propagation. International Journal of Knowledge Engineering and Soft Data Paradigms, 1 (3). pp. 195-215. ISSN 1755-3210. E-ISSN 1755-3229. (doi:10.1504/IJKESDP.2009.028814) (KAR id:98913)

Soria, Daniele, Garibaldi, Jonathan M., Biganzoli, Elia, Ellis, Ian O. (2008) A comparison of three different methods for classification of breast cancer data. In: Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. . pp. 619-624. IEEE ISBN 978-1-4244-4061-0. (doi:10.1109/ICMLA.2008.97) (KAR id:98908)

Soria, Daniele, Garibaldi, J.M., Ambrogi, F., Lisboa, P.J.G., Boracchi, P., Biganzoli, E. (2008) Clustering breast cancer data by consensus of different validity indices. In: 4th IET International Conference on Advances in Medical, Signal and Information Processing - MEDSIP 2008. (540 CP). (doi:10.1049/cp:20080437) (KAR id:98906)

V

Vedhara, Kavita, Dawe, Karen, Miles, Jeremy N.V., Wetherell, Mark A., Cullum, Nicky, Dayan, Colin, Drake, Nicola, Price, Patricia, Tarlton, John, Weinman, John, and others. (2016) Illness Beliefs Predict Mortality in Patients with Diabetic Foot Ulcers. PloS one, 11 (4). E-ISSN 1932-6203. (doi:10.1371/journal.pone.0153315) (KAR id:79608)

This list was generated on Wed May 1 19:55:25 2024 BST.