# Assessment for Alzheimer's Disease Advancement Using Classification Models with Rules
## 3 The Algorithm
### Learning Phase
(2017) [PERSON]; [PERSON]; [PERSON] Optimizing neuropsychological assessments for cognitive, behavioral, and functional impairment classification: A machine learning study. _Behav. Neurol._**2017**, _2017_, 1850909. [CrossRef]
* [PERSON] et al. (1984) [PERSON]; [PERSON]; [PERSON] A new rating scale for Alzheimer's disease. _Am. J. Psychiatry_**1984**, _141_, 1356-1364. [CrossRef]
* [PERSON] (1975) [PERSON]; [PERSON]; [PERSON] \"Ini-mental state\". A practical method for grading the cognitive state of patients for the clinician. _J. Psychiatr. Res._**1975**, _12_, 189-198. [CrossRef]* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: A feature selection ensemble combining stability and predictability. _BMC Med. Inform. Decis. Mak._**2018**, _18_, 137. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. A combined measure of cognition and function for clinical trials: The integrated Alzheimer's Disease Rating Scale (iADRS). _J. Prev. Alzheimers Dis._**2015**, \(2\), 227-241. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. The Cognitive-Functional Composite is sensitive to clinical progression in early dementia: Longitudinal findings from the Catch-Cog study cohort. _Alzheimer's Denent. Transl. Res. Clin. Interv._**2020**, \(6\), e12020. [CrossRef] [PubMed]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Classification of [PERSON]'s disease using machine learning techniques. In Proceedings of the 8 th International Conference on Data Science, Technology and Applications, Toyama, Japan, 7-12 July 2019; pp. 296-303. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON] The Application of Intelligent Data Models for Dementia Classification. _Appl. Sci._**2023**, _13_, 3612. [CrossRef]
* American Psychiatric Association (2013) American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-5. 2013. Available online: [[https://www.psychiatry.org/psychiatrists/practice/dsm](https://www.psychiatry.org/psychiatrists/practice/dsm)]([https://www.psychiatry.org/psychiatrists/practice/dsm](https://www.psychiatry.org/psychiatrists/practice/dsm)) (accessed on 11 March 2022). * [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] [PERSON] A new machine learning model based on induction of rules for autism detection. _Health Inform. J._**2020**, _26_, 264-286. [CrossRef] [PubMed]
* Alzheimer's Disease Neuroimaging Initiative [ADNI]. 2021. Available online: [[http://adni.loni.usc.edu](http://adni.loni.usc.edu)]([http://adni.loni.usc.edu](http://adni.loni.usc.edu)) (accessed on 15 May 2021). * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] [PERSON] The Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog): Modifications and responsiveness in pre-dementia populations. A Narrative Review. _J. Alzheimer Dis._**2018**, _63_, 423-444. [CrossRef]
* [PERSON] et al. (1997) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; et al. Development of cognitive instruments for use in clinical trials of antidementia drugs: Additions to the Alzheimer's Disease Assessment Scale that broaden its scope. The Alzheimer's Disease Cooperative Society. _Alzheimer Dis. Assoc. Disord._**1997**, _11_, S13-S21. [CrossRef]
* [PERSON] et al. (2007) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Diagnostic value and functional correlations of the ADAS-Cog scale in Alzheimer's disease: Data on NORMACODEM project. _Neurologia_**2007**, _22_, 493-501. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] The correlation of everyday cognition test scores and the progression of Alzheimer's disease: A data analytics study. _Health Inf.