Indexing the Event Calculus: Towards practical human-readable Personal Health Systems

Publication date: Available online 13 November 2018Source: Artificial Intelligence in MedicineAuthor(s): Nicola Falcionelli, Paolo Sernani, Albert Brugués, Dagmawi Neway Mekuria, Davide Calvaresi, Michael Schumacher, Aldo Franco Dragoni, Stefano BromuriAbstractPersonal Health Systems (PHS) are mobile solutions tailored to monitoring patients affected by chronic non communicable diseases. In general, a patient affected by a chronic disease can generate large amounts of events: for example, in Type 1 Diabetic patients generate several glucose events per day, ranging from at least 6 events per day (under normal monitoring) to 288 per day when wearing a continuous glucose monitor (CGM) that samples the blood every 5 minutes for several days. Just by itself, without considering other physiological parameters, it would be impossible for medical doctors to individually and accurately follow every patient, highlighting the need of simple approaches towards querying physiological time series. Achieving this with current technology is not an easy task, as on one hand it cannot be expected that medical doctors have the technical knowledge to query databases and on the other hand these time series include thousands of events, which requires to re-think the way data is indexed.Anyhow, handling data streams efficiently is not enough. Domain experts’ knowledge must be explicitly included into PHSs in a way that it can be easily readed and modified by medical staffs. Logic programming rep...
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research