Tyler E Smith, Aaron M Thompson, Brandy R Maynard
Self-management interventions for reducing challenging behaviors among school-age students: A systematic review
Campbell systematic reviews
early detection alzheimers disease ad become one principal focuses research medicine particularly disease incipient even prodromic treatments effective stages lexicalsemanticconceptual deficit lscd oral definitions semantic categories basic objects important early indicator evaluation cognitive state patients objective research define economic procedure cognitive impairment ci diagnosis may associated early stages ad analysing cognitive alterations affecting declarative semantic memory low cost could used routine clinical evaluations screenings leading expensive selective tests confirm rule disease accurately necessarily explanatory procedure would allow us study evolution disease relation ci irregularities different semantic categories neurodegenerative diseases basis requirements hypothesise bayesian networks bns appropriate tool purpose developed bn ci diagnosis mild moderate ad patients analysing oral production semantic features bn causal model represents lscd certain semantic categories living things dog pine apple nonliving things chair car trousers symptoms ci model structure qualitative part model uses domain knowledge obtained psychology experts epidemiological studies model parameters quantitative part model learnt automatically epidemiological studies peraita grassos linguistic corpus oral definitions corpus prepared incidental sampling included analysis oral linguistic production 81 participants 42 cognitively healthy elderly people 39 mild moderate ad patients madrid regions hospitals experienced neurologists diagnosed cases following national institute neurological communicative disorders strokealzheimers disease related disorders association nincdsadrdas alzheimers criteria performing among explorations tests minimum neuropsychological exploration included minimental state examination test bns classification performance remarkable compared machine learning methods achieving 91 accuracy 94 precision mild moderate ad patients apart bn model facilitates explanation reasoning process validation conclusions allows study uncommon declarative semantic memory impairments method able analyse lscd wide set semantic categories throughout progression ci valuable first screening method ad diagnosis early stages low cost used routine clinical evaluations screenings detect ad early stages besides due knowledgebased structure easily extended provide explanation diagnosis study neurodegenerative diseases key advantage bns machine learning methods similar performance recognisable explanatory model allows one study irregularities different semantic categories