{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T16:17:34Z","timestamp":1648829854843},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:00:00Z","timestamp":1606089600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,23]]},"abstract":"<jats:p>Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, that can lead to joint damage but also affects quality of life (QoL) including aspects such as self-esteem, fatigue, and mood. Current medical management focuses on the fluctuating disease activity to prevent progressive disability, but practical constraints mean periodic clinic appointments give little attention to the patient\u2019s experience of managing the wider consequences of chronic illness. The main aim of this study is to explore how to use patient-derived data both for clinical decision-making and for personalisation, with the first steps towards a platform for tailoring self-management advice to patients\u2019 lifestyle changes. As a result, we proposed a Bayesian network model for personalisation and have obtained promising outcomes.<\/jats:p>","DOI":"10.3233\/shti200695","type":"book-chapter","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T23:34:20Z","timestamp":1606174460000},"source":"Crossref","is-referenced-by-count":0,"title":["From Personalised Predictions to Targeted Advice: Improving Self-Management in Rheumatoid Arthritis"],"prefix":"10.3233","author":[{"given":"Ali","family":"Fahmi","sequence":"first","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom"}]},{"given":"Hamit","family":"Soyel","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom"}]},{"given":"William","family":"Marsh","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom"}]},{"given":"Paul","family":"Curzon","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom"}]},{"given":"Amy","family":"MacBrayne","sequence":"additional","affiliation":[{"name":"The William Harvey Institute, Queen Mary University of London, United Kingdom"}]},{"given":"Frances","family":"Humby","sequence":"additional","affiliation":[{"name":"The William Harvey Institute, Queen Mary University of London, United Kingdom"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Integrated Citizen Centered Digital Health and Social Care"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI200695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:44:41Z","timestamp":1606272281000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI200695"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti200695","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,23]]}}}