Medical Information Processing
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Signal and Data Analysis".
Deadline for manuscript submissions: closed (15 November 2021) | Viewed by 8663
Special Issue Editors
Interests: data mining; data science project development; medical data analysis; NLP in medical domain
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; data mining; data stream mining; machine learning; random forests
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
The abundance of medical data coupled with the advances in machine learning algorithms have led to notable progress in the area of medical information processing over the past decade. A persistent challenge in medical data processing is the uncertainty of machine learning models that negatively affects their trustworthiness. Despite the continuing progress of machine learning accuracy in the medical domain, trust in these models has been an issue. This is especially true with the significant leaps in progress when adopting deep learning in the medical domain because of the black box nature of the produced models. This Special Issue invites contributions from both academia and the industry to report on their results using different machine learning and theoretical information methods applied in the medical domain. Topics addressing the uncertainty of machine learning methods and explainability of black box models are especially welcome although we also welcome contributions from the wider domain of medical information processing.
Dr. Ernestina Menasalvas
Prof. Dr. Mohamed Medhat Gaber
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. Entropy is an international peer-reviewed open access monthly 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 2600 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
- Deep learning methods on medical data
- Uncertainty quantification of machine learning models
- Information theory in machine learning applied in the medical domain
- Explainability of machine learning models in the medical domain
- Applications of information theory in medical data processing
