|Title||kHealth: Proactive Personalized Actionable Information for Better Healthcare|
|Publication Type||Conference Paper|
|Year of Publication||2014|
|Authors||Amit Sheth, Pramod Anantharam, Krishnaprasad Thirunarayan|
|Conference Name||Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014), collocated at VLDB 2014|
|Conference Location||Hangzhou, China|
Mobile devices and sensors are profoundly changing the way we create, consume, and share information. Health aficionados and patients with chronic conditions are increasingly using sensors and mobile devices to track sleep, food, activity, and other physiological observations (e.g., weight, heart rate, blood pressure). This trend is leading to a paradigm shift from reactive medicine to predictive, preventive, personalized, and participatory medicine. This is also empowering an individual to more fully participate in health related decision making. To facilitate this transformation, there is a dearth of research in understanding the richness and nuances of health care data. There are many healthcare applications that utilize mobile devices and sensors to monitor the health of an individual. With increased instrumentation such as use of smart phones and social media provides a fine-grained access to the activities of a person and population in general. Majority of analytics is focused on finding discrepancies in a single stream of observations without much insight into the problem and actionable information. kHealth analyzes observations from passive (no human involvement in data collection) and active (human input involved in data collection) sensors to provide explanations that are intelligible to individuals and when needed their clinicians for well-informed decision making.