Advanced Computational Models for Clinical Decision Support

Dear Colleagues,

The importance of advanced computational modeling for clinical diagnosis is becoming increasingly recognized with the rise of e-health. In particular, given the outbreak of COVID-19, advanced computational models will play a significant role in understanding complex clinical data over the coming years. Computational models have a wide range of applications in clinical settings. For example, advanced computational models can be used to track infectious coronaviruses in populations, identify the most effective interventions, and make predictions regarding disease diagnosis from symptoms, which is critical for saving lives and reducing stress on the healthcare system, especially during infectious disease pandemics. Therefore, advanced computational models can be used to provide precise diagnoses and predictions for clinical decision support.

Although current research in this field has shown promising results, several open research questions remain that need to be addressed through further discussions and studies. Among the many questions include how to learn from high dimensionality when there is only a small amount of labeled biomedical data, how to effectively deal with multi-source and multi-modal biomedical data, how to improve predictive performance along with interpretation, how to share clinical data between hospitals while preserving privacy, and how to build end-to-end disease diagnostic platforms for clinical decision support.

The aim of this Special Issue is to showcase how novel computational methods can be applied to address the challenges of complex biomedical data. Special attention will be devoted to the handling of multi-source and multi-modal biomedical data, limited biomedical data, and multi-institutional biomedical data in terms of privacy preservation. This Special Issue aims to provide stronger technical support and stimulate an environment for the development of computational models and applications for clinical decision support.

Potential topics include but are not limited to the following:

• Advanced computational models for disease prediction and prevention
• Advanced computational models for small biomedical data
• Advanced computational models for multi-source and multi-modal biomedical data
• Advanced computational models for medical imaging
• Secure biomedical data analysis with advanced computational methods
• Machine learning methods applied to biomedical data
• Advanced computational models for clinical decision support
• End-to-end disease diagnostic platforms using advanced computational models
• Advanced computational models with interpretation
• Advanced computational models for imbalanced biomedical data
• Computer-aided detection and diagnosis

Dr. Haishuai Wang
Prof. Dr. Chi-Hua Chen
Dr. Lianhua Chi
Dr. Jun Wu
Dr. Shirui Pan
Dr. Li Li
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 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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biology 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 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.