Combining data mining and text mining for detection of early stage dementia:the SAMS framework

Bull, Christopher Neil, Asfiandy, Dommy, Gledson, Ann, Mellor, Joseph, Couth, Samuel, Stringer, Gemma, Rayson, Paul Edward, Sutcliffe, Alistair Gordon Simpson, Keane, John, Zeng, Xiao-Jun, Burns, Alistair, Leroi, Iracema, Ballard, Clive and Sawyer, Peter Harvey (2016). Combining data mining and text mining for detection of early stage dementia:the SAMS framework. IN: Resources and ProcessIng of linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments (RaPID '16) workshop. European Language Resources Association (ELRA).


In this paper, we describe the open-source SAMS framework whose novelty lies in bringing together both data collection (keystrokes, mouse movements, application pathways) and text collection (email, documents, diaries) and analysis methodologies. The aim of SAMS is to provide a non-invasive method for large scale collection, secure storage, retrieval and analysis of an individual?s computer usage for the detection of cognitive decline, and to infer whether this decline is consistent with the early stages of dementia. The framework will allow evaluation and study by medical professionals in which data and textual features can be linked to deficits in cognitive domains that are characteristic of dementia. Having described requirements gathering and ethical concerns in previous papers, here we focus on the implementation of the data and text collection components.

Divisions: Engineering & Applied Sciences
Additional Information: Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Uncontrolled Keywords: Dementia,Corpus Linguistics,Natural Language Processing,Data Mining
Full Text Link: http://www.rese ... 50f587f29).html
Related URLs: http://www.lrec ... Proceedings.pdf (Publisher URL)
Published Date: 2016-05-23
Authors: Bull, Christopher Neil
Asfiandy, Dommy
Gledson, Ann
Mellor, Joseph
Couth, Samuel
Stringer, Gemma
Rayson, Paul Edward
Sutcliffe, Alistair Gordon Simpson
Keane, John
Zeng, Xiao-Jun
Burns, Alistair
Leroi, Iracema
Ballard, Clive
Sawyer, Peter Harvey ( 0000-0001-8044-2738)

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