An Architecture for e-Health Recommender Systems Based on Similarity of Patients’ Symptoms

Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities

“…The authors used data from five outpatient clinics, and they aimed to enhance order effectiveness. The researchers also used medical heterogeneous records and data sources in [67] to develop a RS that recommends standard treatment plans for given symptoms. In [68], the authors considered the increase in personal data acquisition and mobile health systems.…”

“…Application Reference e-commerce Items recommendations to buyers [4,5] Movie or video recommendations [43] Transportation Path Recommendation for transporting goodOr passengers [8,39,49] Recommendations to Tourists [50][51][52] Venue recommendation [53][54][55] e-health Medical advice or treatment plan recommendation [6,46,63,64] Recommending Personalized services to patients [44] Appointments recommendation to clinicians [45] Health recommendations in mobile systems [59] Healthy behavioral recommendations [61] Diet recommendation [62] Agriculture Fertilizer recommendation to farmers [7] Crops issue recommendation [47] Assisting farmers inquiries [48] Agricultural products recommendation [65] Crop cultivation suggestion [40,[66][67][68] Media Event recommendations [80] Museum recommendations [81,82] Multimedia recommendations [83][84][85] Open Social Networks recommendations [86][87][88][89][90]…”