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Director – Web and Data Science Center
Associate Professor – University of Washington Tacoma

ANKUR TEREDESAI
ANKURT@UW.EDU
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
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
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
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.
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
Data Flow




NDRS Database and nutrition analysis               Coder Interface
Data Flow
 Data Collection
 Meal Entries via
  Android App



   Segmentation
Volume Estimation




 Data Publication
 Coder Interface



 NDSR and Fred
  Hutchinson -
Nutrition Analysis
Data Collection
DDRS APP
Meal Entries
Data Flow
 Data Collection
 Meal Entries via
  Android App



   Segmentation
Volume Estimation




 Data Publication
 Coder Interface



 NDSR and Fred
  Hutchinson -
Nutrition Analysis
DDRS - Food Segmentation
Alt. Image Segmentation
• Short video on Image Segmentation Process
Volumetric Analysis
Data Flow
 Data Collection
 Meal Entries via
  Android App



   Segmentation
Volume Estimation




 Data Publication
 Coder Interface



 NDSR and Fred
  Hutchinson -
Nutrition Analysis
Demo – Coder Interface

• Demo
Data Flow
 Data Collection
 Meal Entries via
  Android App



   Segmentation
Volume Estimation




 Data Publication
 Coder Interface



 NDSR and Fred
  Hutchinson -
Nutrition Analysis
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

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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
  • 7. Data Flow NDRS Database and nutrition analysis Coder Interface
  • 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
  • 13. DDRS - Food Segmentation
  • 14. Alt. Image Segmentation • Short video on Image Segmentation Process
  • 16. Data Flow Data Collection Meal Entries via Android App Segmentation Volume Estimation Data Publication Coder Interface NDSR and Fred Hutchinson - Nutrition Analysis
  • 17. Demo – Coder Interface • Demo
  • 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

  1. 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.
  2. 6 min Video
  3. 3 Min Video.