2011/03/16 by Piero Giacomelli, P Giacomelli, Giulia Munaro +4
Computer Science · Health Professions · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #Data Stream Mining Techniques #FOS: Computer and information sciences #Time Series Analysis and Forecasting #cs.AI
paper · pdf · doi:10.48550/arxiv.1103.3223
presented at "The Third International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2011)"
arxiv created 2011/03/16 · openalex publication_date 2011/03/16 · arxiv updated 2011/03/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
CHRONIOUS is an Open, Ubiquitous and Adaptive Chronic Disease Management Platform for Chronic Obstructive Pulmonary Disease(COPD) Chronic Kidney Disease (CKD) and Renal Insufficiency. It consists of several modules: an ontology based literature search engine, a rule based decision support system, remote sensors interacting with lifestyle interfaces (PDA, monitor touchscreen) and a machine learning module. All these modules interact each other to allow the monitoring of two types of chronic diseases and to help clinician in taking decision for cure purpose. This paper illustrates how some machine learning algorithms and a rule based decision support system can be used in smart devices, to monitor chronic patient. We will analyse how a set of machine learning algorithms can be used in smart devices to alert the clinician in case of a patient health condition worsening trend.