Artificial Intelligence in Disease Diagnosis, Treatment, Risk Forecast, and Health Informatics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: closed (10 January 2022) | Viewed by 519

Special Issue Editors


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Guest Editor
Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
Interests: bioinformatics; artificial intelligence; disease diagnosis; treatment; risk Forecast, and health informatics
Division of Nephrology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
Interests: nephrology; hemodialysis; peritoneal dialysis
Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu 880011, Taiwan
Interests: algorithm design; machine learning; data mining
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Special Issue Information

Dear Colleagues,

This Special Issue of the journal Applied Sciences, entitled “Artificial Intelligence in Diseases Diagnosis, Treatment, Risk Forecast, and Health Informatics”, aims to present recent advances in artificial intelligence techniques for disease diagnosis, treatment, risk forecast, and health informatics. The recent advances of artificial intelligence techniques, mostly based on machine learning, have significantly influenced the design and performance of computer-aided disease diagnosis, treatment, risk forecast, and health informatics. This Special Issue places particular attention on contributions dealing with practical applications, in which artificial intelligence techniques play a key role and achieve state-of-the-art performances. All interested authors are invited to submit their newest results on disease diagnosis, treatment, risk forecast, and health informatics for possible publication in this Special Issue. All papers need to present original, previously unpublished work and will be subject to the normal standards and peer-review processes of this journal. Potential topics include, but are not limited to: ·      

  • Disease diagnosis
  • Treatment
  • Risk forecast
  • Health informatics
  • Machine learning in disease diagnosis, treatment, risk forecast, and health informatics.

Prof. Dr. Cheng-Hong Yang
Dr. Jin-Bor Chen
Dr. Yu-Da Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • machine learning
  • deep learning
  • statistical methods
  • diseases diagnosis
  • treatment and risk forecast
  • health informatics

Published Papers

There is no accepted submissions to this special issue at this moment.
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