Machine Learning Applications in Healthcare and Disease Prediction
A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Design, Modeling and Computing Methods".
Deadline for manuscript submissions: 30 October 2025 | Viewed by 6
Special Issue Editor
Special Issue Information
Dear Colleagues,
Machine Learning (ML) is modifying the healthcare field, offering new solutions for disease diagnosis and prediction. With its ability to analyze large amounts of data, ML can identify hidden patterns that might escape the human eye. Common applications include the early detection of diseases such as cancer, heart disease, diabetes, and neurological disorders, where ML algorithms can analyze medical images, genetic data, and clinical information to detect early warning signs. In addition, ML is being used in outbreak prediction, continuous health monitoring, and personalized treatments, improving the effectiveness of therapies. Technology is also supporting the creation of wearable devices that collect data in real-time, enabling physicians to operate early.
This Special Issue aims to highlight recent advances in the application of machine learning techniques to biomedical data analysis, clinical decision support, early diagnosis, and the prediction and management of diseases.
This Special Issue will serve as a platform for interdisciplinary contributions that bridge computational methodologies and practical healthcare applications, addressing both technical innovations and clinical impacts.
Dr. Chiara Iacovelli
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning (ML)
- healthcare AI
- disease prediction
- early diagnosis
- personalized medicine
- health data analysis
- wearable health devices
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