Classification of Diseases Using Machine Learning Algorithms: 2nd Edition

Dear Colleagues,

Medical diagnosis is the basis of effective central distribution and guidance. In this process, multiple methods and tools are used together to accurately and systematically evaluate patients.

The 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 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 medical signals, medical data, and medical images. The medical images of various organs from different X-ray modalities, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET), and analysis of patient data (e.g., blood tests and vital signs) can suggest possible diagnoses, etc., and can be employed for disease detection. We hope to publish many original and deep-learning papers applied to medicine to improve the quality of decision making.

The Special Issue focuses on the “Classification of Diseases Using Machine Learning Algorithms”. We welcome the submission of high-quality original and foundational research, reviews, and case reports.

Dr. Derya Avci
Guest Editor

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