Research Area: Machine Learning
Recommender Systems have become essential in personalized healthcare as they provide meaningful information to the patients depending on the specific requirements and availability of health records. With the improvement of machine learning techniques, the recommender system brings about several opportunities to the medical science. Systems can perform more efficiently and solve complex problems using deep learning, even when data set is diverse and unstructured. Here we present a comprehensive overview of the challenges associated with the existing recommender systems. Machine learning and deep learning techniques that are generally applied for health recommender system are discussed in detail along with their application to health informatics.
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Author(s) Name: Jayita Saha, Chandreyee Chowdhury & Suparna Biswas
Journal name: Deep Learning Techniques for Biomedical and Health Informatics
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Publisher name: Springer
DOI: 10.1007/978-3-030-33966-1_6
Volume Information: pp 101–126
