A modular cluster based collaborative recommender system for cardiac patients

作者：

Highlights：

• Collection of cardiac patient's dataset at a renowned local hospital.

• Improvisation in the steps of collaborative filtering to address scalability.

• The execution of sub-clustering to ensure fast similarity computation.

• Involvement of expert cardiologists in the complete recommendation process.

摘要

•Collection of cardiac patient's dataset at a renowned local hospital.•Improvisation in the steps of collaborative filtering to address scalability.•The execution of sub-clustering to ensure fast similarity computation.•Involvement of expert cardiologists in the complete recommendation process.

论文关键词：Recommender system,Clustering,Collaborative filtering,Cardiovascular disease,Decision support

论文评审过程：Received 3 September 2018, Revised 15 December 2018, Accepted 7 November 2019, Available online 16 November 2019, Version of Record 21 November 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.101761