The Dietary Data Recording System supports the dietary assessment of participants by facilitating collection of more objective measurement of dietary intake in real time and with moderate cost
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DDRS Presentation Dec 19
1. Director – Web and Data Science Center
Associate Professor – University of Washington Tacoma
ANKUR TEREDESAI
ANKURT@UW.EDU
2. The General Problem
Health
Scientific Datasets
Mining the value in Big Data Astro, Geo, Hospital, Pharma,
Oceanic Genomics, Global
Enterprise
Web, Marketing, S
ocial Health
90% of healthcare data is discarded – never to
be actionable again.
Volume
Velocity
3V 80%
Variety
2
3. The General Solution
Distributed Data Management Platform + Data Science + Applications =
Integrated Societal Impact
New Data
Management Paradigms Efficient Data Mining Data Applications
Collect Connect
3
4. UWT Center for Web and Data Science
Mission and Vision
Mission: Be the Vision: Societal
hub for local and Data Science –
regional partners C-WDS Empower Data
to embrace data Rich yet Tools
driven decisions Deficient
disciplines
4
5. DDRS – Dietary Data Recording
System
The Dietary Data Recording System
supports the dietary assessment of
participants by facilitating collection of
more objective measurement of dietary
intake in real time and with moderate cost.
6. Diet and Health
Relationship
between Diet
and Health
Increase study
participants
satisfaction!
Inaccuracies from
under reporting intake
Cost Reduction
(Doubly Labeled
Address issues with Water)
traditional dietary
recording systems
Inconvenience of
remembering food log
6
8. Data Flow
Data Collection
Meal Entries via
Android App
Segmentation
Volume Estimation
Data Publication
Coder Interface
NDSR and Fred
Hutchinson -
Nutrition Analysis
12. Data Flow
Data Collection
Meal Entries via
Android App
Segmentation
Volume Estimation
Data Publication
Coder Interface
NDSR and Fred
Hutchinson -
Nutrition Analysis
16. Data Flow
Data Collection
Meal Entries via
Android App
Segmentation
Volume Estimation
Data Publication
Coder Interface
NDSR and Fred
Hutchinson -
Nutrition Analysis
18. Data Flow
Data Collection
Meal Entries via
Android App
Segmentation
Volume Estimation
Data Publication
Coder Interface
NDSR and Fred
Hutchinson -
Nutrition Analysis
19. Future Work
– Improve and expand Android interface
– Refine the Algorithm for Volume Estimation
– Integrate wireless real-time upload feature
– Validate Study – Compare food and nutrient intake
as calculated by DDRS and by unobtrusive direct
observation
Editor's Notes
Solution componentsnutritionist, device use, data managementStudy participants log food intake on a device.Data uploaded to a server which handles image processing and volume estimate.The collected and calculated values are imported into a web interface for review by a clinical coder.The Coders prepare the data for entry into NDSR which can be used for performing nutrient analysis based on the data.