Abstract
Artificial intelligence is changing the healthcare industry from many perspectives: diagnosis, treatment, and follow-up. A wide range of techniques has been proposed in the literature. In this special issue, 13 selected and peer-reviewed original research articles contribute to the application of artificial intelligence (AI) approaches in various real-world problems. Papers refer to the following main areas of interest: feature selection, high dimensionality, and statistical approaches; heart and cardiovascular diseases; expert systems and e-health platforms.
Highlights
Research in medical fields is very relevant to clinical advances [1]
A major topic of artificial intelligence (AI) in medicine is related to the clinical decision support (CDS) to assist clinicians at the point of care [14,15]
High dimensionality, and statistical approaches: Dentamaro et al [18] propose a new oversampling technique called Less Important Components for Imbalanced Multiclass Classification—LICIC to cope with both class imbalance and the famous
Summary
Research in medical fields is very relevant to clinical advances [1]. In this context, computers are changing the healthcare industry, as well as research from many perspectives, including the Internet of Things (IoT) paradigm [2] and mobile technologies [3]. A major topic of AI in medicine is related to the clinical decision support (CDS) to assist clinicians at the point of care [14,15]. High dimensionality, and statistical approaches: Dentamaro et al [18] propose a new oversampling technique called Less Important Components for Imbalanced Multiclass Classification—LICIC to cope with both class imbalance and the famous The experiments provide a broad overview of the results obtainable on standard microarray datasets with different characteristics in terms of the number of features and number of patients.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
