Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Farideh Jalali-najafabadi"'
Autor:
Glen Philip Martin, Ashley Akbari, Alan Watkins, Anne Barton, John Bowes, Niels Peek, James Rafferty, Jane Lyons, Rowena Bailey, Farideh Jalali-najafabadi, Narges Azadbakht, Thamer Ba Dhafari, Ronan A. Lyons
Publikováno v:
BMJ Open, Vol 14, Iss 6 (2024)
Objectives To compare the patterns of multimorbidity between people with and without rheumatic and musculoskeletal diseases (RMDs) and to describe how these patterns change by age and sex over time, between 2010 and 2019.Participants 103 426 people w
Externí odkaz:
https://doaj.org/article/69a38016f11d49c39dffdb060553a2b6
Autor:
Jane Lyons, Ashley Akbari, Keith R. Abrams, Amaya Azcoaga Lorenzo, Thamer Ba Dhafari, James Chess, Spiros Denaxas, Richard Fry, Chris P. Gale, John Gallacher, Lucy J. Griffiths, Bruce Guthrie, Marlous Hall, Farideh Jalali-najafabadi, Ann John, Clare MacRae, Colin McCowan, Niels Peek, Dermot O’Reilly, James Rafferty, Ronan A. Lyons, Rhiannon K. Owen
Publikováno v:
The Lancet Regional Health. Europe, Vol 32, Iss , Pp 100687- (2023)
Summary: Background: Understanding and quantifying the differences in disease development in different socioeconomic groups of people across the lifespan is important for planning healthcare and preventive services. The study aimed to measure chronic
Externí odkaz:
https://doaj.org/article/fa7c73ea5ef841fe8910fd7055841c8f
Autor:
James Rafferty, Alexandra Lee, Ronan A Lyons, Ashley Akbari, Niels Peek, Farideh Jalali-Najafabadi, Thamer Ba Dhafari, Jane Lyons, Alan Watkins, Rowena Bailey
Publikováno v:
PLoS ONE, Vol 18, Iss 12, p e0295300 (2023)
Rates of Multimorbidity (also called Multiple Long Term Conditions, MLTC) are increasing in many developed nations. People with multimorbidity experience poorer outcomes and require more healthcare intervention. Grouping of conditions by health servi
Externí odkaz:
https://doaj.org/article/507fcee8c6784331b09c04338baf74de
Autor:
Farideh Jalali-najafabadi, Michael Stadler, Nick Dand, Deepak Jadon, Mehreen Soomro, Pauline Ho, Helen Marzo-Ortega, Philip Helliwell, Eleanor Korendowych, Michael A. Simpson, Jonathan Packham, Catherine H. Smith, Jonathan N. Barker, Neil McHugh, Richard B. Warren, Anne Barton, John Bowes, BADBIR Study Group, BSTOP Study Group
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract In view of the growth of clinical risk prediction models using genetic data, there is an increasing need for studies that use appropriate methods to select the optimum number of features from a large number of genetic variants with a high de
Externí odkaz:
https://doaj.org/article/ef9896df34ad40f89822e14d6ff1f794
Autor:
James Rafferty, Alexandra Lee, Ed Bennett, Jane Lyons, Farideh Jalali-Najafabadi, Thamer Ba Dhafari, Alan Watkins, Alexander Pate, Glen Martin, Ashley Akbari, Niels Peek, Rowena Bailey
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives Having multiple long term health conditions (MLTCs), also known as multimorbidity, is becoming increasingly common as populations age. Understanding how clusters of diseases are likely to lead to other diseases and the effect of multimorbi
Externí odkaz:
https://doaj.org/article/f67052228bb44c148325f8a7588e3cfd
Autor:
Mehreen, Soomro, Michael, Stadler, Nick, Dand, James, Bluett, Deepak, Jadon, Farideh, Jalali-Najafabadi, Michael, Duckworth, Pauline, Ho, Helena, Marzo-Ortega, Philip S, Helliwell, Anthony W, Ryan, David, Kane, Eleanor, Korendowych, Michael A, Simpson, Jonathan, Packham, Ross, McManus, Cem, Gabay, Céline, Lamacchia, Michael J, Nissen, Matthew A, Brown, Suzanne M M, Verstappen, Tjeerd, Van Staa, Jonathan N, Barker, Catherine H, Smith, Oliver, FitzGerald, Neil, McHugh, Richard B, Warren, John, Bowes
Publikováno v:
2022, ' Comparative Genetic Analysis of Psoriatic Arthritis and Psoriasis for the Discovery of Genetic Risk Factors and Risk Prediction Modeling ', Arthritis and Rheumatology, vol. 74, no. 9, pp. 1535-1543 . https://doi.org/10.1002/art.42154
BADBIR Study Group 2022, ' Comparative Genetic Analysis of Psoriatic Arthritis and Psoriasis for the Discovery of Genetic Risk Factors and Risk Prediction Modeling ', Arthritis & rheumatology (Hoboken, N.J.), vol. 74, no. 9, pp. 1535-1543 . https://doi.org/10.1002/art.42154
BADBIR Study Group 2022, ' Comparative Genetic Analysis of Psoriatic Arthritis and Psoriasis for the Discovery of Genetic Risk Factors and Risk Prediction Modeling ', Arthritis & rheumatology (Hoboken, N.J.), vol. 74, no. 9, pp. 1535-1543 . https://doi.org/10.1002/art.42154
Objectives: Psoriatic arthritis (PsA) has a strong genetic component, and the identification of genetic risk factors could help identify the ~30% of psoriasis patients at high risk of developing PsA. Our objectives were to identify genetic risk facto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85e08610b06d2af5be81cd231f214933
https://kclpure.kcl.ac.uk/ws/files/180291144/Comparative_Genetic_Analysis_SOOMRO_Publishedonline4August2022_GOLD_VoR_CC_BY.pdf
https://kclpure.kcl.ac.uk/ws/files/180291144/Comparative_Genetic_Analysis_SOOMRO_Publishedonline4August2022_GOLD_VoR_CC_BY.pdf
Autor:
Jeremy Watts, Elexis Allen, Ahmad Mitoubsi, Anahita Khojandi, James Eales, Farideh Jalali-Najafabadi, Theodore Papamarkou
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Random forests (RFs) are effective at predicting gene expression from genotype data. However, a comparison of RF regressors and classifiers, including feature selection and encoding, has been under-explored in the context of gene expression predictio
Autor:
Erick Mendez Guzman, Ruthvik Konduru, Mohammed Yassin, Sandeep Konduru, Farideh Jalali-Najafabadi
Publikováno v:
2021 International Conference on e-Health and Bioengineering (EHB).
Autor:
Alan Watkins, Glen P. Martin, Niels Peek, James Rafferty, Ronan A Lyons, Farideh Jalali-najafabadi, Alexander Pate, Rowena Bailey, Jane Lyons, Thamer Ba Dhafari, Ashley Akbari
Publikováno v:
Rafferty, J, Watkins, A, Lyons, J, Lyons, R A, Akbari, A, Peek, N, Jalali-Najafabadi, F, Ba Dhafari, T, Pate, A, Martin, G P & Bailey, R 2021, ' Ranking sets of morbidities using hypergraph centrality ', Journal of Biomedical Informatics, vol. 122, 103916 . https://doi.org/10.1016/j.jbi.2021.103916
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Graphical abstract
Highlights • Multi-morbidity is increasingly common but poorly understood. • Hypergraphs allows for edges between more than two nodes. • Centrality can be calculated for hypergraphs, measuring node and edge importance.
Highlights • Multi-morbidity is increasingly common but poorly understood. • Hypergraphs allows for edges between more than two nodes. • Centrality can be calculated for hypergraphs, measuring node and edge importance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ddc65bd5f961167d5fc7511cf4f965f
https://cronfa.swan.ac.uk/Record/cronfa57958/Download/57958__20970__9763dde8098a4a0590fc3295e81437f4.pdf
https://cronfa.swan.ac.uk/Record/cronfa57958/Download/57958__20970__9763dde8098a4a0590fc3295e81437f4.pdf
Publikováno v:
Biomedical Signal Processing and Control. 70:103018
Purpose: This paper addresses the application of digital signal processing (DSP) techniques to the robust measurement of acoustical features of the human voice. It then addresses the use of regression based techniques for the estimation of grade, rou