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Review of Machine Learning and Deep Learning Based Recommender Systems for Health Informatics - 2019

Review Of Machine Learning And Deep Learning Based Recommender Systems For Health Informatics

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.


Author(s) Name:  Jayita Saha, Chandreyee Chowdhury & Suparna Biswas

Journal name:  Deep Learning Techniques for Biomedical and Health Informatics

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/978-3-030-33966-1_6

Volume Information:  pp 101–126