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dc.contributor.authorWang, Zixu
dc.contributor.authorIve, Julia
dc.contributor.authorMoylett, Sinead
dc.contributor.authorMueller, Christoph
dc.contributor.authorCardinal, Rudolf
dc.contributor.authorVelupillai, Sumithra
dc.contributor.authorO'Brien, John
dc.contributor.authorStewart, Robert
dc.date.accessioned2020-10-06T23:30:41Z
dc.date.available2020-10-06T23:30:41Z
dc.date.issued2020-11
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/311162
dc.description.abstractWhile Dementia with Lewy Bodies (DLB) is the second most common type of neurodegenerative dementia following Alzheimer’s Disease (AD), it is difficult to distinguish from AD. We propose a method for DLB detection by using mental health record (MHR) documents from a (3-month) period before a patient has been diagnosed with DLB or AD. Our objective is to develop a model that could be clinically useful to differentiate between DLB and AD across datasets from different healthcare institutions. We cast this as a classification task using Convolutional Neural Network (CNN), an efficient neural model for text classification. We experiment with different representation models, and explore the features that contribute to model performances. In addition, we apply temperature scaling, a simple but efficient model calibration method, to produce more reliable predictions. We believe the proposed method has important potential for clinical applications using routine healthcare records, and for generalising to other relevant clinical record datasets. To the best of our knowledge, this is the first attempt to distinguish DLB from AD using mental health records, and to improve the reliability of DLB predictions.
dc.publisherAssociation for Computational Linguistics
dc.rightsAll rights reserved
dc.titleDistinguishing between Dementia with Lewy Bodies (DLB) and Alzheimer’s Disease (AD) using Mental Health Records: a Classification Approach
dc.typeConference Object
prism.publicationDate2020
prism.publicationNameClinical NLP 2020
dc.identifier.doi10.17863/CAM.58254
dcterms.dateAccepted2020-09-30
rioxxterms.versionofrecord10.18653/v1/2020.clinicalnlp-1.19
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-11
dc.contributor.orcidCardinal, Rudolf [0000-0002-8751-5167]
dc.contributor.orcidO'Brien, John [0000-0002-0837-5080]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idMedical Research Council (MC_PC_17213)
cam.issuedOnline2020-11
pubs.conference-name3rd Clinical Natural Language Processing Workshop
pubs.conference-start-date2020-11-19
cam.orpheus.counter33
pubs.conference-finish-date2020-11-19


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