Special Issue "Machine Learning in Healthcare"
Deadline for manuscript submissions: closed (30 April 2021).
Research and development in machine learning (ML), and particular sub-fields such as deep learning (DL) and natural language processing (NLP), have enjoyed tremendous advances in performance over the past decade, thanks in part to hardware improvements such as GPUs and troves of labeled data available for benchmark. This general trend applies to healthcare and clinical care as well, where ML efforts in the field have been catalyzed by the volume and variety of data generated by maturing technologies such as electronic health record systems; high-throughput “-omics” methods; and the expanded usage of medical, wearable, and mobile devices. The application of these methods can range from hypothesis generation to decision support to fully automated AI systems, each associated with a unique set of requirements and challenges that must be met in order to meaningfully operationalize ML in healthcare.
This Special Issue addresses two major and interrelated themes. The first is focused upon machine learning research in healthcare, with special emphasis on advances in computer vision, sequence models and transformers, and generalized ML and DL methodologies that apply to non-image and non-temporal data. The second is focused upon challenges of ML operationalization from both clinical and engineering perspectives. In the latter, we welcome submissions related to ML in production, explainable AI, ML monitoring, and integration with clinical workflows.
Our main goal is to stimulate discussion between ML researchers, technologists, and healthcare domain experts, across academia and industry, to meet the common goal of delivering reliable, fair, and high-performance ML applications in healthcare.
Dr. Renato Umeton
Dr. Gregory Antell
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 papers will be 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. Informatics is an international peer-reviewed open access quarterly 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 1400 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.
- machine learning
- deep learning
- computer vision
- natural language processing
- clinical NLP
- clinical decision support
- machine learning operations
- explainable AI
- machine learning monitoring