Feasibility Study of Numerical Calculation and Machine Learning Hybrid Approach for Renal Denervation Temperature Prediction
Author:
Affiliation:
1. Graduate School of Science and Engineering, Chiba University
2. Center for Frontier Medical Engineering, Chiba University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
https://www.jstage.jst.go.jp/article/transele/E106.C/12/E106.C_2023ECP5002/_pdf
Reference35 articles.
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3. [3] M.A. Weber, F. Mahfoud, R.E. Schmieder, D.E. Kandzari, K.P. Tsioufis, R.R. Townsend, K. Kario, M. Böhm, A.S.P. Sharp, J.E. Davies, J.W. Osborn, G.D. Fink, D.E. Euler, D.L. Cohen, M.P. Schlaich, and M.D. Esler, “Renal denervation for treating hypertension: Current scientific and clinical evidence,” JACC: Cardiovasc. Interv., vol.12, no.12, pp.1095-1105, June 2019. 10.1016/j.jcin.2019.02.050
4. [4] D.L. Bhatt, D.E. Kandzari, W.W. O'Neill, R. D'Agostino, J.M. Flack, B.T. Katzen, M.B. Leon, M. Liu, L. Mauri, M. Negoita, S.A. Cohen, S. Oparil, K. Rocha-Singh, R.R. Townsend, and G.L. Bakris, “A controlled trial of renal denervation for resistant hypertension,” N. Engl. J. Med., vol.370, pp.1393-1401, April 2014. 10.1056/nejmoa1402670
5. [5] K. Kario, Y. Yokoi, K. Okamura, M. Fujihara, Y. Ogoyama, E.Yamamoto, H. Urata, J.M. Cho, C.J. Kim, S.H. Choi, K. Shinohara, Y. Mukai, T. Ikemoto, M. Nakamura, S. Seki, S. Matoba, Y. Shibata, S. Sugawara, K. Yumoto, K. Tamura, F. Yoshihara, S. Nakamura, W.C. Kang, T. Shibasaki, K. Dote, H. Yokoi, A. Matsuo, H. Fujita, T. Takahashi, H.J. Kang, Y. Sakata, K. Horie, N. Inoue, K.I. Sasaki, T. Ueno, H. Tomita, Y. Morino, Y. Nojima, C.J. Kim, T. Matsumoto, H. Kai, S. Nanto, “Catheter-based ultrasound renal denervation in patients with resistant hypertension: the randomized, controlled require trial,” Hypertens. Res., vol.45, no.2, pp.221-231, Feb. 2022. 10.1038/s41440-021-00754-7
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