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Prognosis of Dementia Employing Machine Learning and Microsimulation Techniques: A Systematic Literature Review
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för hälsa.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för hälsa.
Vise andre og tillknytning
2016 (engelsk)Inngår i: Procedia Computer Science / [ed] Martinho R.,Rijo R.,Cruz-Cunha M.M.,Bjorn-Andersen N.,Quintela Varajao J.E., Elsevier, 2016, Vol. 100, s. 480-488Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

OBJECTIVE: The objective of this paper is to investigate the goals and variables employed in the machine learning and microsimulation studies for the prognosis of dementia. METHOD: According to preset protocols, the Pubmed, Socups and Web of Science databases were searched to find studies that matched the defined inclusion/exclusion criteria, and then its references were checked for new studies. A quality checklist assessed the selected studies, and removed the low quality ones. The remaining ones (included set) had their data extracted and summarized. RESULTS: The summary of the data of the 37 included studies showed that the most common goal of the selected studies was the prediction of the conversion from mild cognitive impairment to Alzheimer's Disease, for studies that used machine learning, and cost estimation for the microsimulation ones. About the variables, neuroimaging was the most frequent used. CONCLUSIONS: The systematic literature review showed clear trends in prognosis of dementia research in what concerns machine learning techniques and microsimulation.

sted, utgiver, år, opplag, sider
Elsevier, 2016. Vol. 100, s. 480-488
Serie
Procedia Computer Science, ISSN 1877-0509
Emneord [en]
dementia, machine learning, microsimulation, prognosis, Artificial intelligence, Cost estimating, Diagnosis, Information systems, Learning systems, Neurodegenerative diseases, Neuroimaging, Project management, Alzheimer's disease, Cost estimations, Machine learning techniques, Mild cognitive impairments, Systematic literature review, Information management
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-13767DOI: 10.1016/j.procs.2016.09.185ISI: 000392695900059Scopus ID: 2-s2.0-85006952996OAI: oai:DiVA.org:bth-13767DiVA, id: diva2:1065413
Konferanse
Conference on ENTERprise Information Systems / International Conference on Project MANagement / Conference on Health and Social Care Information Systems and Technologies, CENTERIS / ProjMAN / HCist, Porto
Tilgjengelig fra: 2017-01-16 Laget: 2017-01-16 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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Moraes, Ana Louiza DalloraEivazzadeh, ShahryarMendes, EmiliaSanmartin Berglund, JohanAnderberg, Peter

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