Abductive Reasoning in Cancer Therapy

Author

Yamamoto, Yoshitaka ; Inoue, Katsumi ; Doncescu, Andrei

Author_Institution

Grad. Univ. for Adv. Studies, Tokyo

fYear

2009

fDate

26-29 May 2009

Firstpage

948

Lastpage

953

Abstract

The requires an integrative biological systems analysis as the quantitative description at the hierarchical level of molecular, cellular and phenotypic functions including their interaction with the environment is very complex. The growing awareness of the complex interplay between the genome and physiological functions of the cell needs a new holistic and full integrative view. In this paper we present a logical formalization of breast cancer diagnostic and treatment.

Keywords

biological organs; cancer; cellular biophysics; data mining; genomics; inference mechanisms; medical diagnostic computing; molecular biophysics; patient treatment; abductive reasoning; breast cancer diagnostics; breast cancer treatment; cancer therapy; cellular function; data mining; genome function; integrative biological system analysis; knowledge discovery; logical formalization; molecular function; phenotypic function; physiological function; Bioinformatics; Biological system modeling; Cancer; Clustering algorithms; Clustering methods; Genomics; Hidden Markov models; Logic programming; Medical treatment; Sequences; abductive reasoning; breast cancer; inductive logic;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on

Conference_Location

Bradford

Print_ISBN

978-1-4244-3999-7

Electronic_ISBN

978-0-7695-3639-2

Type

conf

DOI

10.1109/WAINA.2009.151

Filename

5136773