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UID:calendar.313241.field_event_date.0@www.wright.edu
DTSTAMP:20260219T215117Z
CREATED:20180405T192814Z
DESCRIPTION:Committee:  Drs. Amit Sheth\, Advisor\, TK Prasad\, and Maninde
 r Kalra\, MD\, PhD (Pediatrics)ABSTRACT:Asthma is a high-burden chronic in
 flammatory disease with prevalence in children with twice the rate compare
 d to adults. It can be improved by continuously monitoring patients and th
 eir environment using the Internet of Things (IoT) based devices. These se
 nsor data streams so obtained are essential to comprehend multiple factors
  triggering asthma symptoms.  In order to support physicians in exploring 
 causal associations and finding actionable insights\, a visualization syst
 em with a scalable cloud infrastructure that can process multimodal sensor
  data and Patient Generated Health Data (PGHD) is necessary.In this thesis
 \, we describe a cloud-based asthma management and visualization platform 
 that integrates personalized PGHD from kHealth1 kit and outdoor environmen
 tal observations from web services2. When applied to data from an individu
 al\, the tool assists in analyzing and explaining symptoms using ”personal
 ized” causes\, monitor disease progression\, and improve asthma management
 . The front-end visualization was built with Bootstrap Framework and Highc
 harts. Elasticsearch was used as back-end storage to aggregate data from v
 arious sources. Further\, Node.js and Express Framework were used to devel
 op several Representational State Transfer services useful for the visuali
 zation.
DTSTART;TZID=America/New_York:20180411T123000
DTEND;TZID=America/New_York:20180411T143000
LAST-MODIFIED:20180405T201923Z
LOCATION:366 Joshi
SUMMARY:Masters Thesis Defense “Sensor Data Stream Correlation Platform for
  Asthma Management” By Vaikunth Sridharan
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 sensor-data-stream-correlation-platform-asthma-management%E2%80%9D-vaikunt
 h
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