Rasheed Rabbi
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Presentation OutlineResearch Goal
Used example or case study
Key Idea and Key words
Health Care knowledge repository
Questions
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Research Goal
How ontology and Machine Learning can help extracting useful knowledge
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Case Study:Context: Health-e-child participants in 2006Source: biomedical information from
genetic clinical epidemiological
Goal: improve children disease prevention, screening, early diagnosis therapy and follow up of pediatric diseases
Methodology: Large Data Input Complex
pattern recog
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Machine Learning
Case Study: Diseases of 3 categories:
pediatric heart disease inflammatory disease brain tumors
Pediatric Heart Disease Atrial Septal Defect (ASD)
Hole in Atrial septum Treatment needs to happen from 4-6 years of ageThe prognosis of ASD depends on heterogeneous
feature of clinical data, genetic data, ECG and imaging data
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Case Study
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Key Concepts: Ontology:
Philosophy to describe the nature, categories and the relationship objects
Feature Ontology: Reflects both the semantic
and linguistic neighborhoods of a particular entity.
Constitutes a rich representation of an entity
Hierarchical structure in tree graph where N is the node, l is the level and w is the weight.
Ontology Ontology feature 7
Health Care knowledge repository
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Questions
Any Questions?
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Rasheed Rabbi
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OutlineIntroduction to mobile rehabilitation
application for remote monitoring PHM (Personal Health Monitor)Scenario Interface Remote Sharing
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Personal Health Monitor Ambulatory monitoringMultiple SensorsPersonalization Instant Feedback Software running locally on the
phoneArrhythmia Detection Reminders and logsCommunication Remote Monitoring via Health
Care Data server
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ScenarioJack walks 6 minutes to determine:
RPE O2 saturation
Can be monitored more than twice a week through his cell phone which has pairs of Bluetooth sensors. He wears the heart monitor and use the mobile monitoring
application during exercise It allows him to be familiar with the application while being
supervised After 2 weeks, he has gained enough confidence to do the
exercise in local gym using mobile rehabilitation appHe synchronize data every week with health center
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User InterfaceThree parts:
1. Live data 2. Configuration3. Rehabilitation
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Remote MonitoringUser can monitor on their own Their data can be uploaded to a remote site
Synchronization between the mobile phone and website happens using 3G.
Website is secure and accessible to patient and health professionals
Alert generate measurements are over threshold
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Questions
Any Questions?
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