New Perspective on Machine Learning in Healthcare Informatics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 71
Special Issue Editors
Interests: big data analytics using machine learning and deep learning for healthcare applications, such as epileptic seizure detection and prediction, sleep stage scoring, sleep spindle detection, Post-ictal Generalized EEG Suppression (PGES) detection, etc.
Special Issue Information
Dear Colleagues,
This Special Issue offers an insightful exploration into the transformative potential of machine learning (ML) within the realm of healthcare informatics. ML techniques increasingly permeate various facets of the healthcare industry, ranging from diagnostics and treatment optimization to patient care management. This collection provides a comprehensive overview of innovative methodologies, applications, and case studies. By showcasing the versatility and efficacy of ML algorithms, healthcare professionals can harness vast amounts of data to make informed decisions and deliver personalized patient care. Furthermore, this Special Issue delves into critical considerations such as data privacy, model interpretability, ethical implications, and the importance of evaluation strategies that align with real clinical practice. Through these discussions, the responsible and effective integration of ML in healthcare settings is elucidated, promising advancements that enhance both patient outcomes and healthcare delivery.
Dr. Xiaojin Li
Dr. Licong Cui
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning and deep learning
- computational healthcare
- big data analytics
- clinical decision support
- precision health
- intelligent healthcare systems
- data privacy
- interoperability
