Development of a computer-aided diagnosis system for continuous peritoneal dialysis: An availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model

Hiroyuki Hamada; Shinji Namoto; Ryo Yamada; Abdullah Al Mamun; Akihiro C. Yamashita; Makoto Ishizaki; Masahiro Okamoto

doi:10.1016/j.compbiomed.2007.04.004

Development of a computer-aided diagnosis system for continuous peritoneal dialysis: An availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model

Hiroyuki Hamada, Shinji Namoto, Ryo Yamada, Abdullah Al Mamun, Akihiro C. Yamashita, Makoto Ishizaki, Masahiro Okamoto

Systems Biology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

We developed a novel diagnostic system for continuous peritoneal dialysis, which evaluates the peritoneal permeability and hydraulic conductance (peritoneal function) by applying the kinetic model and a clinical test with minimum nursing time. Kinetic parameters for the peritoneal function were determined by the simultaneous numerical optimization techniques (SNOT). Furthermore dialysis outcome and ultrafiltration volume were estimated and predicted by using the kinetic model with a set of optimal kinetic parameters, which were in agreement with measured data (r² > 0.82). The clinical implementation of the SNOT is very useful to explore the better prescriptions for each patient's clinical condition.

Original language	English
Pages (from-to)	1700-1708
Number of pages	9
Journal	Computers in Biology and Medicine
Volume	37
Issue number	12
DOIs	https://doi.org/10.1016/j.compbiomed.2007.04.004
Publication status	Published - Dec 2007

All Science Journal Classification (ASJC) codes

Computer Science Applications
Health Informatics

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10.1016/j.compbiomed.2007.04.004

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Hamada, H., Namoto, S., Yamada, R., Al Mamun, A., Yamashita, A. C., Ishizaki, M., & Okamoto, M. (2007). Development of a computer-aided diagnosis system for continuous peritoneal dialysis: An availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model. Computers in Biology and Medicine, 37(12), 1700-1708. https://doi.org/10.1016/j.compbiomed.2007.04.004

Development of a computer-aided diagnosis system for continuous peritoneal dialysis: An availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model. / Hamada, Hiroyuki; Namoto, Shinji; Yamada, Ryo et al.
In: Computers in Biology and Medicine, Vol. 37, No. 12, 12.2007, p. 1700-1708.

Research output: Contribution to journal › Article › peer-review

Hamada, H, Namoto, S, Yamada, R, Al Mamun, A, Yamashita, AC, Ishizaki, M & Okamoto, M 2007, 'Development of a computer-aided diagnosis system for continuous peritoneal dialysis: An availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model', Computers in Biology and Medicine, vol. 37, no. 12, pp. 1700-1708. https://doi.org/10.1016/j.compbiomed.2007.04.004

Hamada H, Namoto S, Yamada R, Al Mamun A, Yamashita AC, Ishizaki M et al. Development of a computer-aided diagnosis system for continuous peritoneal dialysis: An availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model. Computers in Biology and Medicine. 2007 Dec;37(12):1700-1708. doi: 10.1016/j.compbiomed.2007.04.004

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abstract = "We developed a novel diagnostic system for continuous peritoneal dialysis, which evaluates the peritoneal permeability and hydraulic conductance (peritoneal function) by applying the kinetic model and a clinical test with minimum nursing time. Kinetic parameters for the peritoneal function were determined by the simultaneous numerical optimization techniques (SNOT). Furthermore dialysis outcome and ultrafiltration volume were estimated and predicted by using the kinetic model with a set of optimal kinetic parameters, which were in agreement with measured data (r2 > 0.82). The clinical implementation of the SNOT is very useful to explore the better prescriptions for each patient's clinical condition.",

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AU - Al Mamun, Abdullah

AU - Yamashita, Akihiro C.

AU - Ishizaki, Makoto

AU - Okamoto, Masahiro

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Development of a computer-aided diagnosis system for continuous peritoneal dialysis: An availability of the simultaneous numerical optimization technique for kinetic parameters in the peritoneal dialysis model

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