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CSOC2018 2018: Artificial Intelligence and Algorithms in Intelligent Systems pp 69–78Cite as

Spark-Based Classification Algorithms for Daily Living Activities

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 764)

Abstract

Dementia is an incurable disease that affects a large part of the population of elders and more than 21% of the elders suffering from dementia are exposed to polypharmacy. Moreover, dementia is very correlated with diabetes and high blood pressure. The medication adherence becomes a big challenge that can be approached by analyzing the daily activities of the patients and taking preventive or corrective measures. The weakest link in the pharmacy chain tends to be the patients, especially the patients with cognitive impairments. In this paper we analyze the feasibility of four classification algorithms from the machine learning library of Apache Spark for the prediction of the daily behavior pattern of the patients that suffer from dementia. The algorithms are tested on two datasets from literature that contain data collected from sensors. The best results are obtained when the Random Forest classification algorithm is applied.

Keywords

  • Machine learning
  • Classification algorithms
  • Daily living activities
  • Sensors
  • Elderly

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Acknowledgement

This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CCCDI UEFISCDI and of the AAL Programme with co-funding from the European Union’s Horizon 2020 research and innovation programme project number AAL 44/2017 within PNCDI III [1].

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Authors and Affiliations

  1. Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Dorin Moldovan, Marcel Antal, Claudia Pop, Adrian Olosutean, Tudor Cioara, Ionut Anghel & Ioan Salomie

Authors
  1. Dorin Moldovan
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  2. Marcel Antal
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  3. Claudia Pop
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  4. Adrian Olosutean
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  5. Tudor Cioara
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  6. Ionut Anghel
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  7. Ioan Salomie
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Corresponding author

Correspondence to Dorin Moldovan .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Moldovan, D. et al. (2019). Spark-Based Classification Algorithms for Daily Living Activities. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_8

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