Machine Learning Technology in Predictive Healthcare
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 647
Special Issue Editors
Interests: machine learning; clinical informatics; healthcare innovation; EHR/EMR mining; natural language processing; complex diseases; outcome prediction; health disparity; machine learning-enabled decision support system; stroke; transient ischemic attack; cerebrovascular medicine
Special Issues, Collections and Topics in MDPI journals
Interests: big data; data science; machine learning, artificial intelligence, deep learning; data visualization; anomaly detection; computer vision; federated machine learning
Special Issue Information
Dear Colleagues,
Machine learning, an artificial intelligence technique enabling computers to learn and adapt from experience without explicit programming, has considerably impacted the realms of medicine, health, and healthcare. Additionally, precision medicine, an approach that considers individual genetic, environmental, and lifestyle variations, has also gained prominence.
This Special Issue aims to focus on the convergence between machine learning approaches and precision medicine by providing a platform for researchers to share their knowledge and insights. We seek to feature papers that underscore how the use of machine learning can reduce disparity and improve outcomes for mainstream/minority patient populations in healthcare, addressing areas such as the development and application of machine learning algorithms, and methodologies for innovative healthcare and disease management including drug discovery, disease diagnosis, patient stratification, clinical decision support, etc.
We look forward to your submissions, which we believe will be valuable in revolutionizing medical care and improving patient outcomes.
Dr. Vida Abedi
Dr. Alireza Vafaei Sadr
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. Bioengineering 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 2700 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
- artificial intelligence
- precision medicine
- precision health
- predictive modeling
- medical diagnosis
- medical prognosis
- healthcare disparity
- healthcare innovation
- EHR/EMR mining
- smart healthcare systems
- patient stratification
