Title :
Abductive Reasoning in Cancer Therapy
Author :
Yamamoto, Yoshitaka ; Inoue, Katsumi ; Doncescu, Andrei
Author_Institution :
Grad. Univ. for Adv. Studies, Tokyo
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;
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
DOI :
10.1109/WAINA.2009.151
