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<!DOCTYPE html>
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<head>
<title>Call for Papers</title>
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<div class="content">
<div class="w1000 news-detial fontSize16 text-china">
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<p><br/></p>
<h1 style="font-family:serif;">Call for Papers</h1>
<p style="font-family:serif;font-size: 20px;">——IEEE CEC 2023 Special Session on “Evolutionary Computation in Healthcare Industry”</p>
<p><br /></p>
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<p style="font-weight:bold;color:#333333;">Aim</p>
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<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Worldwide, the healthcare industry would continue to thrive and grow, due to the increasing demands of diagnosis, treatment, disease prevention, medicine, and service which affect the mortal rates and life quality of human beings. Two key issues of the modern healthcare industry are improving healthcare quality, as well as reducing economic and human costs. The problems in the healthcare industry can be formulated as scheduling, planning, predicting, and optimization problems, where evolutionary computation methods can play an important role. Although evolutionary computation has been applied to scheduling and planning for trauma system and pharmaceutical manufacturing, other problems in the healthcare industry such as decision making in computer-aided diagnosis and predicting for disease prevention have not been properly formulated for evolutionary computation techniques, and many evolutionary computation techniques are widely adopted in the healthcare community.
</span></p>
<p><br /></p>
<p style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
This special session, as an event organized by the Task Force on “Intelligence Systems for Health” in the Intelligent Systems Application Technical Committee, aims to promote the research on evolutionary computation methods for their applications to the healthcare industry.
</span></p>
<p><br /></p>
<p style="font-weight:bold;color:#333333;">Scope</p>
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<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
The topics of this special session include, but are not limited to, the follows:
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<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Evolutionary computation in resource allocation for hospital location planning, and aeromedical retrieval system planning, etc.
</span></li>
<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Application of evolutionary computation for job scheduling, such as ambulance scheduling, nurse scheduling, and job scheduling in medical device and pharmaceutical manufacturing, etc.
</span></li>
<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Multiple-criteria decision-making for computer-aided diagnosis using expert systems.
</span></li>
<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Web self-diagnostic system with the application of information retrieval and recommendation system.
</span></li>
<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Learning and optimization for vaccine selection and personalized/stratified medicine.
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<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Data-driven surrogate-assisted evolutionary algorithms in pharmaceutical manufacturing processes.
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<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Modeling and prediction in epidemic surveillance system for disease prevention.
</span></li>
<li style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Route planning for disability robots.
</span></li>
<p><br /></p>
<p style="font-weight:bold;color:#333333;">Submissions</p>
<p style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Papers should be submitted following the instructions at the <a href="https://2023.ieee-cec.org/paper-submission/" style="text-decoration: underline;">IEEE CEC 2023 website</a>. Please select the main research topic as the Special Session on “Evolutionary Computation in Healthcare Industry”. Accepted papers will be included and published in the conference proceedings.
</span></p>
<p><br /></p>
<p style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Deadline: 27th January 2023
</span></p>
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<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Notification: 14th April 2023
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<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
Conference: 2nd-5th July 2023, Chicago, United States
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<p><br /></p>
<p style="font-weight:bold;color:#333333;">Organizers</p>
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<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
<span style="font-weight: bold;">Cheng He</span>, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. ([email protected])
</span></p>
<p style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
<span style="font-weight: bold;">Handing Wang</span>, School of Artificial Intelligence, Xidian University, Xi'an 710071, China. ([email protected])
</span></p>
<p style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
<span style="font-weight: bold;">Rong Qu</span>, School of Computer Science, University of Nottingham, Nottingham NG8 1BB, U. K. ([email protected])
</span></p>
<p style="text-indent:0;background:#ffffff;line-height:0.29in;widows:2;orphans:2;text-align:left;margin-bottom:0in;">
<span style="font-family:serif;color:#333333;color:#333333;color:#333333;font-size:16px;">
<span style="font-weight: bold;">Yaochu Jin</span>, Faculty of Technology, Bielefeld University, D-33615 Bielefeld, Germany. ([email protected])
</span></p>
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