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 79

Special Issue Editors


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Guest Editor
Department of Neurology, McGovern Medical School, 7000 Fannin St, Houston, TX 77030, USA
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.

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Guest Editor
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX 77030, USA
Interests: biomedical informatics

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

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. Applied Sciences 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 2400 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 and deep learning
  • computational healthcare
  • big data analytics
  • clinical decision support
  • precision health
  • intelligent healthcare systems
  • data privacy
  • interoperability

Published Papers

This special issue is now open for submission.
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