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Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors

  • Systems-Level Quality Improvement
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Abstract

Machine learning and data mining approaches are being successfully applied to different fields of life sciences for the past 20 years. Medicine is one of the most suitable application domains for these techniques since they help model diagnostic information based on causal and/or statistical data and therefore reveal hidden dependencies between symptoms and illnesses. In this paper we give a detailed overview of the recent machine learning research and its applications for predicting cognitive diseases, especially the Alzheimer’s disease, mild cognitive impairment and the Parkinson’s disease. We survey different state-of-the-art methodological approaches, data sources and public data, and provide their comparative analysis. We conclude by identifying the open problems within the field that include an early detection of the cognitive diseases and inclusion of machine learning tools into diagnostic practice and therapy planning.

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Funding

This work is supported by the bilateral project between Slovenia and Serbia: BI-RS/16-17-047, “Intelligent computer techniques for improving medical detection, analysis and explanation of human cognition and behavior disorders” between the Ministry of Education, Science and Technological Development of the Republic of Serbia and the Slovenian Research Agency. B. Bratić, V. Kurbalija and M. Ivanović also thank the Ministry of Education, Science and Technological Development of the Republic of Serbia for additional support through project no. OI174023, “Intelligent techniques and their integration into wide-spectrum decision support”.

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  1. Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 4, Novi Sad, Serbia

    Brankica Bratić, Vladimir Kurbalija & Mirjana Ivanović

  2. Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, Ljubljana, Slovenia

    Iztok Oder & Zoran Bosnić

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  1. Brankica Bratić
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Bratić, B., Kurbalija, V., Ivanović, M. et al. Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors. J Med Syst 42, 243 (2018). https://doi.org/10.1007/s10916-018-1071-x

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