アブストラクト
| Date | April 23, 2009 |
| Speaker | Prof. Andrei Doncescu, LAAS-CNRS, France |
| Title | Cancer Diagnosis by Abductive Reasoning |
| Abstract |
A diagnosis of cancer therapy is one of the most difficult experiences
we can face due to the complex decisions on treatment with potentially
life-threatening illness. The prediction of the cancer evolution in
a frame of personalized therapy requests an exhaustive analysis of a patient
profiles by efficient machine learning techniques. Using techniques
as Inductive Logic Programming (ILP) which can find hypotheses that
account for given observations with a background theory. The Hypothesis
Finding applied on a relational database containing 250 profiles of cancer
patient : relapse (or recover), emergence of 5 proteins SC35, 9G8, hnRNPA1,
ASF-SF2 and SRp20 as well as the clinical information for each patient
figure out several causal relations between treatment and the life extension.
http://www2.laas.fr/laas/2-4257-Home.php |