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Machine learning for Healthcare Analytics

Submission Deadline: 05 May 2022 (closed)

Guest Editors

Dr. Senthilkumar Mohan, Vellore Institute of Technology, India.
Dr. Celestine Iwendi, University of Bolton, UK.
Dr. Ali Ahmadian, University Mediterranea of Reggio Calabria, Italy.

Summary

In the machine learning era, healthcare analytics plays an important role, which helps to improve the quality of human life. The main ideas are to identify new challenges and possible ways to overcome the challenges by applying machine learning techniques effective and efficient way. Prediction of diseases and diagnosing the patients on time are very important. This calls for bringing novel ideas in machine learning, deep learning, neural networks and healthcare analytics based on various diseases which will provide value for researchers and scientists with advanced AI techniques. The main objectives of the proposal perform an analysis of the healthcare domain with various machine learning techniques and models to improve human life. This special issue aims to provide the opportunity for researchers around the globe to share their novel ideas in an exciting area.



Keywords

• Machine learning and deep learning-based techniques with medical image analyses.
• Machine learning and deep learning-based heart and lung infection.
• Deep learning and Neural networks for lung/brain infections.
• Machine learning and deep learning techniques for prediction/ forecasting of diseases.
• Detection of cancer-based Healthcare analytics with Machine learning features.
• Healthcare analytics and deep learning based on CT images and other image processing models.
• Prediction/preventions of disease with ML models for hospitals.
• Early prevention/prediction of disease based on advanced machine learning and deep learning techniques.
• Novel methods with AI for healthcare analytics.

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