Medical Informatics and Data Analysis II

Dear Colleagues,

This Special Issue aims to bring together information on established statistical methods and new data analysis methodologies in biostatistics, epidemiology health sciences, dentistry and clinical medicine. Such resource would provide support for researchers at all levels in these fields, as well as students, publishing articles on a wide array of methods, how those methods should be applied, plus examples of application in practice.

All health care professionals and medical researchers face the challenge of keeping abreast of a body of knowledge that is expanding at an astonishing rate. The current views on the causes, mechanisms, and treatment methods of diseases are advancing too rapidly for any physician or researcher to achieve personal experience with all of the new findings. This has led to a growing reliance on the published literature to learn about new discoveries that can ultimately influence diagnostic evaluations, therapeutic decisions and public health guidelines. Statistical methods play an important role in medical and health care publications. This is reflected in the high proportion of articles that are essentially statistical in character. Most papers published in medical journals contain some element of statistical methods, analysis and interpretation. In addition, mathematical statisticians and data science researchers introduce new data analysis methods marked by a rapid expansion in computing capability.

This Special Issue, which is already the second on this topic, is an opportunity for the scientific community to present research on the application and complexity of data analytical methods and to give insight into new challenges in medical data analysis. Both original research and review articles are open to submission in this issue.

Prof. Dr. Pentti Nieminen
Guest Editor

Link to the first edition: https://0-www-mdpi-com.brum.beds.ac.uk/journal/applsci/special_issues/Medical_Informatics_Data_Analysis

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.

• data analysis
• statistical methods
• statistical reporting
• data presentation
• epidemiology
• public health
• clinical research
• health care
• methodology
• publications
• medical informatics