- From: Michel Dumontier <michel.dumontier@gmail.com>
- Date: Mon, 4 Mar 2013 20:56:45 -0500
- To: HCLS <public-semweb-lifesci@w3.org>
- Message-ID: <CALcEXf4YE-489tXnrD0MFTtoZjCb=cxWBLW9-hjQbZ+XwDnJnw@mail.gmail.com>
Hi everybody, Please join us Tuesday at 11am EDT for a talk by Atif Khan on what will be an interesting talk on hybrid decision support. We'll be hosting the talk using fuze - click on the link below for screensharing and to set up audio via computer or skype. otherwise dial in using the toll international numbers. see you then! m. -------------- Meeting URL http://fuze.me/18820247 Toll / Intl #: +1 (646) 583-7415 dial in international numbers: https://www.fuzebox.com/extras/numbers1 Attendee PIN #: 47479369 -------------- Title Hybrid Medical Decision Support System Using Structured Knowledge Engineering and Machine Learning Abstract: We present a framework which enables medical decision making in the presence of partial information. At its core is ontology-based automated reasoning; machine learning techniques are integrated to enhance existing patient datasets in order to address the issue of missing data. Our approach supports interoperability between different health information systems. This is clarified in a sample implementation that combines three separate datasets (patient data, drug-drug interactions and drug prescription rules) to demonstrate the effectiveness of our algorithms in producing effective medical decisions. In short, we demonstrate the potential for machine learning to support a task where there is a critical need from medical professionals by coping with missing or noisy patient data and enabling the use of multiple medical datasets. Bio Atif Khan is a PhD Candidate at the David R. Cheriton School of Computer Science, University of Waterloo. His research interests lie in applying artificial intelligence primitives to convert raw data into knowledge. His work is focused on combining structured knowledge representation (ontology) & reasoning (inference) techniques with machine learning algorithms to facilitate knowledge discovery and decision making across large scale heterogeneous information systems. Khan's recent work in creating hybrid medical decision support systems has been published in ACM Transactions on Intelligent Systems and Technology journal, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2012), and IEEE International Conference on Machine Learning and Applications (ICMLA-2012).
Received on Tuesday, 5 March 2013 01:57:33 UTC