Difference between revisions of "Track: MED"

 
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               <p class="title is-3">Track</p>
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               <p class="is-small is-uppercase has-text-weight-bold" style="color: #e0470d;">Track</p>
               <p class="subtitle is-4">Medical Informatics</p><br>
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               <p class="title is-3">Medical Informatics</p>
               <p class="title is-3">Track Chairs</p>
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               <p class="is-small is-uppercase has-text-weight-bold" style="color: #e0470d;">Track Chair</p>
              <p class="subtitle is-4">Dr. H. Akpınar<br><span class="has-text-weight-light is-size-5">Marmara University</span></p>
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               <p class="subtitle is-5">Prof. Dr. Haldun Akpınar, Marmara University<br>
               <p class="subtitle is-4">Dr. A. D. Duru<br><span class="has-text-weight-light is-size-5">İstanbul University</span></p>
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                                      Dr. Adil Deniz Duru, Marmara University</p>
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              <p>Modern information technology is an indispensable component in medicine for storing and analyzing health records. Computer science and medical professionals collaborate to develop solutions in the topic of bioinformatics, public health informatics, organizational informatics and clinical informatics. The use of medical informatics support both the clinicians and researchers in the diagnosis and treatment plans for several diseases.</p>
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              <p>From micro to macro scale, advancements in the biomedical measurement technology provide relevant information about the anatomy as well as the functionality of the human body. Machine Learning algorithms can be successfully implemented to fuse the data collected from several biomedical measurement systems and to form a decision either by fusing or comparing the obtained information. However the huge amount of medical dataset is needed to be investigated based on various algorithms in order to extract the hidden relevant information.</p>
 
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              <p><a class="button is-link is-medium" href="http://2018.imisc.net/oc" target="_blank""><strong><span class="icon"><i class="fa fa-send"></i></span> &nbsp;&nbsp;Submit your paper</strong></a></p>
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              <p><strong>Dr. Haldun Akpınar</strong> has punched his first punched card in 1979 and he has developed his first professional software in 1981. He has been working in Information and Communication Technologies as a software developer, a system analyst, a consultant and a project manager as well as an educator for almost 40 years. He has directed the head of the Department of Business Informatics (in German) at Marmara University from 2003 to 2014.</p>
               <p><a href="/index.php?title=Conference_Tracks"><strong>List of Confirmed Track Proposals</strong></a></p>
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               <p>He has also worked at the University of Illinois (U.S.A.), at Beckman Institute between 1991 and 1992, at the International Tokyo University (Japan) in 1993, at the Jönköping University (Sweden) in 1997, at the University of Otago (New Zealand) in 2000 and at many Universities in Germany until today. He has published 12 books in Turkish and German, and numerous research papers and articles.</p>
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              <p><strong>Dr. Adil Deniz Duru</strong> was born in Istanbul in 1979. He received the B.Sc. degree in computer engineering from Istanbul University, Turkey, in 2000, and the M.Sc. and Ph.D. degrees in biomedical engineering from the Institute of Biomedical Engineering, Bogazici University, Turkey, in 2004 and 2012, respectively. He was the recipient of Prof. Dr. Necmi Tanyolaç Award of Bogazici University in 2012. He worked as a Post-Doc researcher in Hulusi Behcet Life Sciences Center in Istanbul University. In 2013, he joined the Faculty of Sport Sciences in Marmara University as an Assistant Professor. His current research interests include biomedical signal processing, algorithm design and implementation and data mining in medicine. He has published 6 journal articles (SCI(E)) and more than 30 full page international conference paper.</p>
 
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               <p class="title is-3">Call for Papers</p>
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               <p class="is-small has-text-grey">Unsorted</p>
              <p>Advancements in the <strong>Medical Imaging</strong> (MI) technology provide relevant information about the anatomy as well as the functionality of the human body. The use of MI support both the clinicians and researchers in the diagnosis and treatment plans for several diseases. The huge amount of MI dataset is investigated based on various algorithms in order to extract the hidden relevant information.</p>
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              <p>The goal of this track is to bring together, a multi-disciplinary group of scientists and engineers from all over the world to present and exchange the ideas relating to the data analysis in MI. The main topics to be addressed in this track are Computer-aided detection/diagnosis and Machine Learning in MI.</p>
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               <p><span class="icon" style="color: #e0470d;"><i class="fa fa-file-text-o"></i></span> Merkezi Hekim Randevu Sistemi İçin Öneriler</p>
              <p>Moreover, researchers are encouraged to submit papers related with MI processing.</p>
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               <p class="is-small">Muhammed Çağrı Aksu, Artvin Çoruh University<br>Yıldız Ateş, Atatürk University<br>Hicran Yaman, Atatürk University<br>Ersin Karaman, Atatürk University</p>
              <p>Dr. Haldun Akpınar, Marmara University</p>
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               <p><span class="icon"><i class="fa fa-envelope"></i></span> <a href="halak@marmara.edu.tr"><strong>halak@marmara.edu.tr</strong></a></p>
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              <p><span class="icon" style="color: #e0470d;"><i class="fa fa-file-text-o"></i></span> Klinik Muayane ile Tele-Tıp Uygulamasının Teşhis ve Tedavi Uyumluluk Tespiti: Web Tabanlı Özgün Yazılım Tasarımı ve Test Edilmesi</p>
              <p>Dr. Adil Deniz Duru, İstanbul University</p>
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              <p class="is-small">Hakan Kör, Hitit University<br>Ümran Muslu, Hitit University<br>Emre Demir, Hitit University<br>Engin Şenel, Hitit University</p>
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               <p class="title is-3"><strong>Biography of the Chairs</strong></p>
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              <p><span class="icon" style="color: #e0470d;"><i class="fa fa-file-text-o"></i></span> Smart Newborn: A Tool for Early Prediction of a Severe Preterm Newborn Illness</p>
              <p><strong>Adil Deniz Duru</strong> was born in Istanbul in 1979. He received the B.Sc. degree in computer engineering from Istanbul University, Turkey, in 2000, and the M.Sc. and Ph.D. degrees in biomedical engineering from the Institute of Biomedical Engineering, Bogazici University, Turkey, in 2004 and 2012, respectively. He was the recipient of Prof. Dr. Necmi Tanyolaç Award of Bogazici University in 2012. He worked as a Post-Doc researcher in Hulusi Behcet Life Sciences Center in Istanbul University. In 2013, he joined the Faculty of Sport Sciences in Marmara University as an Assistant Professor. His current research interests include biomedical signal processing, algorithm design and implementation and data mining in medicine. He has published 6 journal articles (SCI(E)) and more than 30 full page international conference paper.</p>
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              <p class="is-small">Özlem Uçar, Trakya University<br>Işıl Güzey, Trakya University</p>
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                <li>Perspectives and challenges associated with digital transformation</li>
 
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Latest revision as of 17:17, 22 October 2018

Track

Medical Informatics

Track Chair

Prof. Dr. Haldun Akpınar, Marmara University
Dr. Adil Deniz Duru, Marmara University

Modern information technology is an indispensable component in medicine for storing and analyzing health records. Computer science and medical professionals collaborate to develop solutions in the topic of bioinformatics, public health informatics, organizational informatics and clinical informatics. The use of medical informatics support both the clinicians and researchers in the diagnosis and treatment plans for several diseases.

From micro to macro scale, advancements in the biomedical measurement technology provide relevant information about the anatomy as well as the functionality of the human body. Machine Learning algorithms can be successfully implemented to fuse the data collected from several biomedical measurement systems and to form a decision either by fusing or comparing the obtained information. However the huge amount of medical dataset is needed to be investigated based on various algorithms in order to extract the hidden relevant information.

Dr. Haldun Akpınar has punched his first punched card in 1979 and he has developed his first professional software in 1981. He has been working in Information and Communication Technologies as a software developer, a system analyst, a consultant and a project manager as well as an educator for almost 40 years. He has directed the head of the Department of Business Informatics (in German) at Marmara University from 2003 to 2014.

He has also worked at the University of Illinois (U.S.A.), at Beckman Institute between 1991 and 1992, at the International Tokyo University (Japan) in 1993, at the Jönköping University (Sweden) in 1997, at the University of Otago (New Zealand) in 2000 and at many Universities in Germany until today. He has published 12 books in Turkish and German, and numerous research papers and articles.

Dr. Adil Deniz Duru was born in Istanbul in 1979. He received the B.Sc. degree in computer engineering from Istanbul University, Turkey, in 2000, and the M.Sc. and Ph.D. degrees in biomedical engineering from the Institute of Biomedical Engineering, Bogazici University, Turkey, in 2004 and 2012, respectively. He was the recipient of Prof. Dr. Necmi Tanyolaç Award of Bogazici University in 2012. He worked as a Post-Doc researcher in Hulusi Behcet Life Sciences Center in Istanbul University. In 2013, he joined the Faculty of Sport Sciences in Marmara University as an Assistant Professor. His current research interests include biomedical signal processing, algorithm design and implementation and data mining in medicine. He has published 6 journal articles (SCI(E)) and more than 30 full page international conference paper.

Unsorted

Merkezi Hekim Randevu Sistemi İçin Öneriler

Muhammed Çağrı Aksu, Artvin Çoruh University
Yıldız Ateş, Atatürk University
Hicran Yaman, Atatürk University
Ersin Karaman, Atatürk University

Klinik Muayane ile Tele-Tıp Uygulamasının Teşhis ve Tedavi Uyumluluk Tespiti: Web Tabanlı Özgün Yazılım Tasarımı ve Test Edilmesi

Hakan Kör, Hitit University
Ümran Muslu, Hitit University
Emre Demir, Hitit University
Engin Şenel, Hitit University

Smart Newborn: A Tool for Early Prediction of a Severe Preterm Newborn Illness

Özlem Uçar, Trakya University
Işıl Güzey, Trakya University