Wiki-Health

摘要: Today, healthcare providers are experiencing explosive growth in data. Although the dramatic increase use of medical imaging technologies has been a major contributor to data past decade, more recently rising adoption sensing devices, enabling people collect health-related independently at any time or place is leading torrent sensor The scale and richness currently being collected analysed rapidly growing. key challenges that we will be facing how effectively manage make this abundance easily generated diverse health data.This paper explores potential for sensors acquisition presents next evolution on-going development Wiki-Health, big service platform, designed address larger problem information by providing unified solution collecting, storing, tagging, retrieving, searching analysing personal Additionally, platform allow users reuse remix data, along with analysis results models, knowledge discovery available individual users-including professionals, patients even individuals who desire maintain an optimum level health-on massive scale.To tackle challenge efficiently managing high volume diversity Wiki-Health introduces hybrid storage model capable storing structured, semi-structured unstructured metadata separately. design such allows potentially handle heterogeneous formats In addition its management capabilities, envision as system also enables monitoring analysis, not only method tracking existing conditions but means encouraging pro-active approach through early detection. To scalability performance real-time Analysis Tasks Allocation Scheme proposed research aids tasks on large utilises elastic nature cloud infrastructure considering aspects cost.To evaluate approach, have developed ECG-based top platform. positive supported obtained our experimental trials shows significant real-world applications. Propose data.Wiki-Health provides Framework models.Analysis (ATAS) targets application metric.Present efficient Wiki-Health.