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The Application of Data Mining to Health Data Ⅱ

This special issue belongs to the section “Applied Biosciences and Bioengineering“.

Special Issue Information

Dear Colleagues,

We invite authors to submit unpublished work to the Special Issue “The Application of Data Mining to Health Data” in Applied Sciences. Authors are invited to contribute with research papers, case studies, and demonstrations that present original scientific results, methodological aspects, concepts, and approaches in the multidisciplinary field of data mining applied to healthcare, as well as related issues and challenges.

The Special Issue “The Application of Data Mining to Health Data” will be a forum where researchers, practitioners, and industry representatives can present and discuss ongoing work and latest research results of meaningful contributions to enabling technologies and emerging topics regarding reliable innovative solutions applied to healthcare for enhancing quality of life, as well as related issues and challenges. It will also cover several dimensions of original research concerning theoretical, methodological, and technological developments, and new applications. Therefore, the main goal of this Special Issue is to contribute to the development of new approaches in data mining and reliable enabling technologies that will enhance human quality of life, leading to healthier, innovative, and secure societies.

Topics to be discussed in this Special Issue include (but are not limited to) the following:

  • Data mining;
  • Machine learning;
  • Artificial intelligence systems;
  • CDSS – clinical decision support systems;
  • Pervasive healthcare;
  • Knowledge discovery and embedded analytics;
  • Knowledge representation and reasoning;
  • Statistical analysis and characterization of health data;
  • Natural language processing—mining free text in electronic medical records;
  • Meaningful use of health data for improved patient care, treatment outcomes, and cost-reduction;
  • Pattern detection and hypothesis generation data.

Prof. Dr. José Manuel Ferreira Machado
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • Data mining
  • machine learning
  • artificial intelligence
  • clinical decision support systems
  • knowledge extraction
  • healthcare

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Appl. Sci. - ISSN 2076-3417