Abstract
By using an example of low antibody response to influenza vaccination, a new methodology approach is presented here, which can be introductory to research in chronic aging diseases, typically characterized with comorbidity. Starting with poor theory, this approach includes systematic health data record and approximate learning based on using data mining methods. By subsequent data mining, applied on already selected parameters, and supported by expert knowledge, selected health parameters can further be transformed, into functional pathophisiologic units. Graphical presentation of identified health disorders and their integration into a comprehensive visual model of the common biological network, provides additional information and improves our understanding of the topic, and can serve as a starting position for further research. In terms of Human-Computer Interaction, this approach seems challenging, by enabling computer automatic methods to be supported by human‘s cognitive processes, which might be a solution when managing massive biomedical data, usually weakly structured.
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References
Pearce, N.: Traditional epidemiology, modern epidemiology and public health. American Journal of Health 86, 678–683 (1996)
Rockhill, B.: Theorizing about causes at the individual level while estimating effects at the population level. Implication for prevention. Epidemiology 16, 124–129 (2005)
Cooper, J.A., Miller, G.J., Humphries, S.E.: A comparison of the PROCAM and Framingham point-scoring systems for estimation of individual risk of coronary heart disease in the Second Northwick Park Heart Study. Atherosclerosis 181, 93–100 (2005)
Dawes, M.: Co-morbidity: we need a guideline for each patient not a guideline for each disease. Family Practice 27, 1–2 (2010)
Yang, Q., Khoury, M.J., Friedman, J.M., Little, J., Flanders, W.D.: How many genes underlie the occurence of common complex diseases in the population. International Journal of Epidemiology 34(5), 1129–1137 (2005)
Rosser, W.W.: Aplication of evidence from randomized controlled trials to general practice. The Lancet 353, 661–664 (1999)
Holzinger, A.: Interacting with Information: Challenges in Human-Computer Interaction and Information Retrieval (HCI-IR). In: IADIS Multiconference on Computer Science and Information Systems (MCCSIS), Interfaces and Human-Computer Interaction, pp. 13–17. IADIS, Rome (2011)
Campbell, M.J.: Statistics at square two, 2nd edn. Blackwell Publishing, Oxford (2006)
Gijsen, R., Hoeymans, N., Schellevis, F.G., Ruwaard, D., Satariano, W.A., van den Bos, G.A.M.: Causes and consequences of comorbidity: a review. Journal of Clinical Epidemiology 54, 661–674 (2001)
Kriete, A., Sokhansan, J., Bacoppock, D.L., West, G.B.: Systems approaches to the networks of aging. Ageing Research Reviews 5, 434–448 (2006)
Lipsitz, L.A.: Dynamics of stability: the physiologic basis of functional health and frailty. Journal of Gerontology 57(A), 115–125 (2002)
Plsek, P.E., Greenhalgh, T.: The challenge of complexity in health care. British Medical Journal 323, 625–628 (2001)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases, http://www.daedalus.es/fileadmin/daedalus/doc/MineriaDeDatos/fayyad96.pdf (last access: July 20, 2011)
Witten, I.H., Frank, E.: Data mining. Practical machine learning tools and techniques, 2nd edn. Elsevier, Morgan Kaufmann Publishers, San Francisco (2005)
Gamberger, D., Šmuc, T.: Data Mining Server. Zagreb: Institute Rudjer Bošković. Laboratory for Information Systems, http://dms.irb.hr (last access: June 15, 2011)
Sonicki, Z., Gamberger, D., Šmuc, T., Sonicki, D., Kern, J.: Data Mining Server-On-line Knowledge Induction tool. Study in Health Technology and Informatics 90, 330–334 (2002)
Schroecksnadel, K., Frick, B., Wirleitner, B., Winkler, C., Schennach, H., Fuchs, D.: Moderate hyperhomocysteinemia and immune activation. Current Pharmaceutical Biotechnology 5, 107–118 (2004)
Pecoits-Filho, R., Lindholm, B., Stenvinkel, P.: The malnutrition, inflammation and atherosclerosis (MIA) syndrome - the heart of the matter. Nephrology Dialysis Transplantation 17(S11), 28–31 (2002)
Futagami, S., Takahashi, H., Norose, Y., Kobayashi, M.: Systemic and local immune responses against Helicobacter pylori urease in patients with chronic gastritis; distinct IgA and IgG productive sites. GUT 43, 168–175 (1998)
Magri, F., Cravello, L., Barili, L., Sarra, S., Cinchetti, W., Salmoiraghi, F., et al.: Stress and dementia: the role of the hypothalamopituitaryadrenal axis. Aging Clinical Experimental Research 18(2), 167–170 (2006)
Gross, P.A., Hermogenes, A.W., Sacks, H.S., Lau, J., Levandowski, R.A.: The efficacy of influenza vaccine in elderly persons. A meta-analysis and review of the literature. Annals in Internal Medicine 123, 518–527 (1995)
Holzinger, A.: Usability engineering methods for software developers. Communications of the ACM 48, 71–74 (2005)
Majnarić-Trtica, L., Vitale, B., Martinis, M., Reiner, Ž.: A view at the future - a dynamical, protocol-based and computationally intensive approach in cardiovascular risk assessment. Collegium Antropologicum 34(2), 437–445 (2010)
Piaget, J.: The psychology of intelligence, 5th edn. Routledge classics, London (2008)
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Trtica-Majnarić, L. (2011). Knowledge Discovery and Expert Knowledge for Creating a Chart-Model of a Biological Network - Introductory to Research in Chronic Diseases and Comorbidity. In: Holzinger, A., Simonic, KM. (eds) Information Quality in e-Health. USAB 2011. Lecture Notes in Computer Science, vol 7058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25364-5_24
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DOI: https://doi.org/10.1007/978-3-642-25364-5_24
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