Classification of Diseases Using Machine Learning Algorithms
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 17851
Special Issue Editor
Interests: artificial intelligence; images processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Medical diagnosis is the process of determining the cause of a disease or injury, and it is an essential part of modern healthcare. The ability to accurately diagnose a patient's condition is crucial for the effective treatment and management of disease. A diagnosis of a disease is generally made through the use of physical examination, laboratory tests, imaging tests, or other diagnostic methods. Classification of diseases using machine learning algorithms is an active area of research in the field of medical informatics. With the increasing amount of medical data being generated, machine learning algorithms have the potential to assist physicians and researchers in identifying patterns and making more accurate diagnoses. In this Special Issue, we aim to publish a collection of studies on machine learning algorithms in the classification of diseases using physiological signals and medical images. The medical images of various organs of different X-ray modalities, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET), etc. can be employed for disease detection. We hope to publish many original machine and deep learning papers applied to medicine to improve the quality of decision making. In this Special Issue, we focus on the classification of diseases using machine learning algorithms. We welcome high-quality original foundation, research, reviews, and case reports.
Dr. Derya Avcı
Guest Editor
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. Diagnostics 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 2600 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
- artificial intelligence
- classification of diseases
- machine learning
- medical image processing
- deep learning
- neural network
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