- From: Atif Khan <atif.uw@gmail.com>
- Date: Mon, 4 Mar 2013 21:09:02 -0500
- To: Michel Dumontier <michel.dumontier@gmail.com>
- Cc: HCLS <public-semweb-lifesci@w3.org>
- Message-ID: <CACHSe_G1wMB-Gn3ytcN_8Jbh_EyWGCAu=4TOoqGYcD4bLKDBGg@mail.gmail.com>
Hi, The slides for tomorrow's talk are available at < https://cs.uwaterloo.ca/~a78khan/docs/w3c_hcls_2013_03_15.pdf>. -Atif On Mon, Feb 25, 2013 at 9:30 AM, Michel Dumontier < michel.dumontier@gmail.com> wrote: > Hi, > Just a head's up that next week (Tuesday March 5 @ 11am EDT), Atif Khan > will talk to us about his work on hybrid medical decision support. We'll > conduct and record the meeting with FuzeMeeting - audio options include > computer, skype or dial into an international toll # > > -------------- > 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). > > > -- > Michel Dumontier > Associate Professor of Bioinformatics, Carleton University > Chair, W3C Semantic Web for Health Care and the Life Sciences Interest > Group > http://dumontierlab.com > -- *Atif Khan* PhD Candidate David R. Cheriton School of Computer Science University of Waterloo http://www.cs.uwaterloo.ca/~a78khan/
Received on Tuesday, 5 March 2013 02:09:29 UTC