Health Care Monitoring using PSO
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Pasquale Arpaia, ―In-Time Prognosis Based on Swarm Intelligence for Home-Care Monitoring: A Case Study on Pulmonary Disease‖.
C. R. Celli., ―The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease,‖ N. England J. Med., vol. 350, p. 10, 2004.
De Maio, C.; Loia, V.; Fenza, G.; Gallo, M.; Linciano, R.; Morrone, A, ―Fuzzy knowledge approach to automatic disease diagnosis‖ IEEE Fuzzy system, July 2010.
J. Kennedy, R. C. Eberhart, and Y. Shi, Swarm Intelligence. S. Francisco, CA: Morgan Kaufmann, 2004.
M. Kukar, ―Transductive reliability estimation for medical diagnosis,‖ Art. Intel. Med., vol. 29, pp. 81–106, 2003.
Kwiatkowska, M.; McMillan, L, ―A semiotic approach to data in medical decision making ―, IEEE Fuzzy system, July 2010
Ling, S.H.; Nuryani; Nguyen, H.T, ―Evolved fuzzy reasoning model for hypoglycaemic detection ―,Engineering in Medicine and Biology Society (EMBC), 2010.
K. E. Parsopoulos and M. N. Vrahatis, ―Recent approaches to global optimization problems through particle swarm optimization,‖ Nat. Comput., vol. 1, no. 2–3, pp. 235–306, 2002.
K. E. Parsopoulos and M. N. Vrahatis, ―On the computation of all global minimizers through particle swarm optimization,‖ IEEE Trans.Evol. Comput., vol. 8, no. 3, pp. 211–224, 2004.
M. A. Vila and M. Delgado, ―On medical diagnosis using possibility measures, ‖ Fuzzy Sets and Systems, vol.10, pp. 211–215, 1983.
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