Evaluation system construction of health policy based on system dynamics and complex network
Tóm tắt
In order to improve index planning rationality of health policy evaluation system, a method of health policy system evaluation construction based on system dynamics and complex network has been proposed. Above all, theoretical method of index system construction has been researched and analyzed and it has been evaluated with hierarchy analysis, while core index system has been screened. Besides, health policy evaluation system has been constructed with introducing complex network, at the same time, method of sampling for construction data subset has been conducted for solving problems about large complex network data dimension disaster. And selecting method for cluster center with parallel complex network average is realized in combination with Mapreduce computer model. Eventually, algorithm of Chinese health policy evaluation system construction has been verified and analyzed through empirical analysis.
Tài liệu tham khảo
Hamza, R., Muhammad, K., Nachiappan, A., González, G.R.: Hash based encryption for keyframes of Diagnostic hysteroscopy. IEEE Access (2017). https://doi.org/10.1109/ACCESS.2017.2762405
Abdelhamid, D.S., Zhang, Y., Lewis, D.R., Moghe, P.V., Welsh, W.J., Uhrich, K.E.: Tartaric acid-based amphiphilic macromolecules with ether linkages exhibit enhanced repression of oxidized low density lipoprotein uptake. Biomaterials 53, 32–39 (2015)
Pan, W., Chen, S., Feng, Z.: Automatic clustering of social tag using community detection. Appl. Math. Inf. Sci. 7(2), 675–681 (2013)
Zhang, Y., Mintzer, E., Uhrich, K.E.: Synthesis and Characterization of PEGylated bolaamphiphiles with enhanced retention in liposomes. J. Colloid Interface Sci. 482, 19–26 (2016)
Arunkumar, N., Sirajudeen, K.M.: Approximate entropy based ayurvedic pulse diagnosis for diabetics—a case study. In: Proceedings of the 3rd International Conference on Trendz in Information Sciences and Computing, pp. 133–135 (2011)
Arunkumar, N., Ramkumar, K., Hema, S., Nithya, A., Prakash, P., Kirthika, V.: Fuzzy Lyapunov exponent based onset detection of the epileptic seizures. In: 2013 IEEE Conference on Information and Communication Technologies, ICT 2013, pp. 701–706 (2013)
Faig, J.J., Moretti, A., Joseph, L.B., Zhang, Y., Nova, M.J., Smith, K., Uhrich, K.E.: Biodegradable kojic acid-based polymers: controlled delivery of bioactives for melanogenesis inhibition. Biomacromolecules 18(2), 363–373 (2017)
Arunkumar, N., Venkataraman, V., Thivyashree, L.: A moving window approximate entropy based neural network for detecting the onset of epileptic seizures. Int. J. Appl. Eng. Res. 8(15), 1841–1847 (2013)
Chan, J.W., Zhang, Y., Uhrich, K.E.: Amphiphilic macromolecule self-assembled monolayers suppress smooth muscle cell proliferation. Bioconjugate Chem. 26(7), 1359–1369 (2015)
Zhao, Y., Wang, L., Wang, H., Liu, C.: Minimum rate sampling and spectrum blind reconstruction in random equivalent sampling. Circuits Syst. Signal Process. 34(8), 2667–2680 (2015)
Fernandes, S.L., Gurupur, V.P., Sunder, N.R., Arunkumar, N., Kadry, S.: A novel nonintrusive decision support approach for heart rate measurement. Pattern Recognit. Lett. (2017). https://doi.org/10.1016/j.patrec.2017.07.002
Arunkumar, N., Ramkumar, K., Venkatraman, V., Abdulhay, E., Fernandes, S.L., Kadry, S., Segal, S.: Classification of focal and non-focal EEG using entropies. Pattern Recognit. Lett. 94, 112–117 (2017)
Chan, J.W., Zhang, Y., Uhrich, K.E.: Amphiphilic macromolecule self-assembled monolayers suppress smooth muscle cell proliferation. Bioconjug. Chem. 26(7), 1359–1369 (2015)
Malarkodi, M.P., Arunkumar, N., Venkataraman, V.: Gabor wavelet based approach for face recognition. Int. J. Appl. Eng. Res. 8(15), 1831–1840 (2013)