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HCLS talk: Atif Khan on "Hybrid Medical Decision Support System Using Structured Knowledge Engineering and Machine Learning"

From: Michel Dumontier <michel.dumontier@gmail.com>
Date: Mon, 4 Mar 2013 20:56:45 -0500
Message-ID: <CALcEXf4YE-489tXnrD0MFTtoZjCb=cxWBLW9-hjQbZ+XwDnJnw@mail.gmail.com>
To: HCLS <public-semweb-lifesci@w3.org>
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.

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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
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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

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