Abstract
This paper communicates the importance of identifying knowledge to improve medical treatments such as electroconvulsive therapy (ECT). The information analysed comes from patients with severe depressive disorders or schizophrenia, and corresponds to measurements of various psychophysiological parameters taken at different times after the application of electroshock. The paper reports results of applying the KDSM methodology to an Informal Structure Domain, with the presence of very short and repeated serial measures, such as ECT.
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References
Olmos-Sánchez, K., Rodas-Osollo, J.: Knowledge Management for Informally Structured Domains: Challenges and Proposals. https://doi.org/10.5772/intechopen.7007 (2017)
Rodas, J., Rojo, J.: Knowledge discovery in repeated very short serial measurements with a blocking factor. Appl. Psychiatr. Domain, Int. J. Hybrid Intell. Syst. 2(1), 57–87 (2005). https://doi.org/10.3233/HIS-2005-2104
Kerner, N., Prudic, J.: Current electroconvulsive therapy practice and research in the geriatric population. Neuropsychiatry 4, 33–54 (2014). https://doi.org/10.2217/npy.14.3
Takamiya, A., Hirano, J., Yamagata, B., Takei, S., Kishimoto, T., Mimura, M.: Electroconvulsive therapy modulates resting-state EEG oscillatory pattern and phase synchronization in nodes of the default mode network in patients with depressive disorder. Front. Hum. Neurosci. 13 (2019). https://doi.org/10.3389/fnhum.2019.00001
Porter, R.J., et al.: Cognitive side-effects of electroconvulsive therapy: what are they, how to monitor them and what to tell patients. BJPsych Open 6 (2020). https://doi.org/10.1192/bjo.2020.17
Narang, B.J., Atkinson, G., Gonzalez, J.T., Betts, J.A.: A tool to explore discrete-time data: the time series response analyser. Int. J. Sport Nutrition and Exercise Metabolism 30(5), 374–381, 10 August 2021. https://journals.humankinetics.com/view/journals/ijsnem/30/5/article-p374.xml
Schuhfried, G.: Vienna test system: psychophysiological assessment. Modelling, Austria: Schuhfried (2013).
Matthews J.N.S.: A refinement to the analysis of serial data using summary measures. Stat. Med., Wiley 12, 27–37 (1993)
UK ECT Review Group.: Efficacy and safety of electroconvulsive therapy in depressive disorders: a systematic review and meta-analysis. Lancet. 8 March 361(9360), 799–808 (2003). PMID: 12642045. https://doi.org/10.1016/S0140-6736(03)12705-5
Dekhtyar, A., Hayes, J.H.: Automating Requirements Traceability: Two Decades of Learning from KDD (2018). https://doi.org/10.1109/d4re.2018.00009
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Rodas-Osollo, J., Olmos-Sánchez, K., Jiménez-Galina, A., Soltero-Romero, M., Pérez-Campos, A. (2022). Towards Optimisation of Electroconvulsive Therapy with a Little Help from Knowledge Management. In: Mejia, J., Muñoz, M., Rocha, Á., Avila-George, H., Martínez-Aguilar, G.M. (eds) New Perspectives in Software Engineering. CIMPS 2021. Advances in Intelligent Systems and Computing, vol 1416. Springer, Cham. https://doi.org/10.1007/978-3-030-89909-7_8
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DOI: https://doi.org/10.1007/978-3-030-89909-7_8
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