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dc.contributor.authorRana, Rajib
dc.contributor.authorLatif, Saddique
dc.contributor.authorGururajan, Raj
dc.contributor.authorGray, Anthony
dc.contributor.authorMackenzie, Geraldine
dc.contributor.authorHumphris, Gerald
dc.contributor.authorDunn, Jeff
dc.identifier.citationRana , R , Latif , S , Gururajan , R , Gray , A , Mackenzie , G , Humphris , G & Dunn , J 2019 , ' Automated screening for distress : a perspective for the future ' , European Journal of Cancer Care , vol. 28 , no. 4 , e13033 .
dc.identifier.otherPURE: 257822938
dc.identifier.otherPURE UUID: 1f7c950e-d185-4eaa-8e5b-290f0de1b929
dc.identifier.otherWOS: 000476608400048
dc.identifier.otherScopus: 85069501557
dc.identifier.otherORCID: /0000-0002-4601-8834/work/64033873
dc.description.abstractDistress is a complex condition, which affects a significant percentage of cancer patients and may lead to depression, anxiety, sadness, suicide and other forms of psychological morbidity. Compelling evidence supports screening for distress as a means of facilitating early intervention and subsequent improvements in psychological well‐being and overall quality of life. Nevertheless, despite the existence of evidence‐based and easily administered screening tools, for example, the Distress Thermometer, routine screening for distress is yet to achieve widespread implementation. Efforts are intensifying to utilise innovative, cost‐effective methods now available through emerging technologies in the informatics and computational arenas.
dc.relation.ispartofEuropean Journal of Cancer Careen
dc.rightsCopyright © 2019 John Wiley & Sons Ltd. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectAutomated distress screenen
dc.subjectDeep learningen
dc.subjectSpontaneous speechen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.titleAutomated screening for distress : a perspective for the futureen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. WHO Collaborating Centre for International Child & Adolescent Health Policyen
dc.contributor.institutionUniversity of St Andrews. Health Psychologyen
dc.contributor.institutionUniversity of St Andrews. St Andrews Sustainability Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.description.statusPeer revieweden

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