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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.

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. Research Abstract Details 

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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. Abstract Text:

    hiroyuki hamadaHiroyuki Hamada,shinji namotoShinji Namoto,ryo yamadaRyo Yamada,abdullah al mamunAbdullah Al Mamun,akihiro c yamashitaAkihiro C Yamashita,makoto ishizakiMakoto Ishizaki,masahiro okamotoMasahiro Okamoto,hiroyuki hamadaHiroyuki Hamada,shinji namotoShinji Namoto,ryo yamadaRyo Yamada,abdullah al mamunAbdullah Al Mamun,akihiro c yamashitaAkihiro C Yamashita,makoto ishizakiMakoto Ishizaki,masahiro okamotoMasahiro Okamoto,hiroyuki hamadaHiroyuki Hamada,shinji namotoShinji Namoto,ryo yamadaRyo Yamada,abdullah al mamunAbdullah Al Mamun,akihiro c yamashitaAkihiro C Yamashita,makoto ishizakiMakoto Ishizaki,masahiro okamotoMasahiro Okamoto,

    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 (r(2)>0.82). The clinical implementation of the SNOT is very useful to explore the better prescriptions for each patient's clinical condition.

    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. Publishing Authors By Initials

    h hamadaH Hamada,s namotoS Namoto,r yamadaR Yamada,a al mamunA Al Mamun,ac yamashitaAC Yamashita,m ishizakiM Ishizaki,m okamotoM Okamoto,h hamadaH Hamada,s namotoS Namoto,r yamadaR Yamada,a al mamunA Al Mamun,ac yamashitaAC Yamashita,m ishizakiM Ishizaki,m okamotoM Okamoto,h hamadaH Hamada,s namotoS Namoto,r yamadaR Yamada,a al mamunA Al Mamun,ac yamashitaAC Yamashita,m ishizakiM Ishizaki,m okamotoM Okamoto,

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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. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Computers in biology and medicine

    VOLUME: 37

    Page Numbers: 1700-8

    Journal Abbreviation: Comput. Biol. Med.

    ISSN: 0010-4825

    DAY: 4

    MONTH: 06

    YEAR: 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. Information

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    LANGUAGE: eng

    NlmUniqueID: 1250250

    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. Keywords Mesh Terms:

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    Grant and Affiliation Information for 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.

    AFFILIATION: Laboratory for Bioinformatics, Graduate School of Systems Life Sciences, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Comput Biol Med

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