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DiaBits - app demo at #ddata18 - DIABETESMINE UNIVERSITY

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A demo of CGM management & glucose prediction app DiaBits at DIABETESMINE UNIVERSITY – our new innovation program that encompasses our annual Innovation Summit and D-Data ExChange forums, held Nov.1-2 at UCSF Mission Bay.

Veröffentlicht in: Gesundheitswesen
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DiaBits - app demo at #ddata18 - DIABETESMINE UNIVERSITY

  1. 1. DiaBits Glucose Prediction App Bio Conscious Technologies 2015-2018
  2. 2. Bio Conscious Tech. Predicts Glucose 60-mins ahead Integrates Heart-rate + Activity (in addition Glucose/Insulin) Requires minimal input DiaBits 2
  3. 3. Bio Conscious Tech. How does it work? CGM Watch Glucose Data Fitness Data Re-Calculated Every 5 Mins Crystal Ball + 3
  4. 4. Bio Conscious Tech. 4 DiaBits (Hybrid Model) Regression (ARL) New ML Method (VAR) Concept (AWA) Common Approach (AR) Concept (No Change Model) 70 80 90 100 30m 45m 1h Clinical Accuracy 94.9% % %%% Accuracy Prediction Error Grid Analysis Other Machine Learning Methods Prediction Error Grid Analysis Performance
  5. 5. Bio Conscious Tech. Why do predictions matter? 5 Can help reduce and remove excursions beyond target range Time BG Predicted ValuesCGM Values t0 + 60mint0
  6. 6. Bio Conscious Tech. 6 Day 1 Day 91 Before - After DiaBits
  7. 7. Bio Conscious Tech. 7 Before - After DiaBits Day 1 Day 91
  8. 8. Bio Conscious Tech. Superior Method Classification CGM Hr + ACT State based predictions Sleep Sports Idle 8
  9. 9. Bio Conscious Tech. User Classified Library 9 Predicted BG = CGM Value +15% End Ask User to “Tag” Machine Learning Reinforced Semi-Supervised Learning Classification CGM Hr + ACT Filtering Prediction
  10. 10. Bio Conscious Tech. 10 Coming Soon • Released Dec 2017 - iOS • Reached +5000 users July 2018 • Presented at ADA 2018 (Poster) • Introduced Paywall Aug 2018 • Top 100 Medical AppStore • Leader in Predictive Analytics Progress
  11. 11. Bio Conscious Tech. Metabolism Staying ahead 11 Stress BG1 Gut Abs Glucose ProdIndep Utility (Act + Hr) Insulin Dep Util (Ins + Act + Hr) BG0 Steen Andreassen 1994 Weather Sleep Date
  12. 12. DiaBits Bio Conscious Technologies !12
  13. 13. Bio Conscious Tech. 13 Measuring Accuracy Clarke Error Grid Analysis Parkes Error Grid Analysis
  14. 14. Bio Conscious Tech. 0 20 40 60 80 100 120 140 160 0 200 400 600 800 1000 1200 1400 Value - HR 0.00E+00 1.00E-02 2.00E-02 3.00E-02 4.00E-02 5.00E-02 6.00E-02 7.00E-02 8.00E-02 9.00E-02 1 16 31 46 61 76 91 106 121 136 151 166 181 196 211 226 241 256 271 286 301 316 331 346 361 376 391 406 421 436 451 466 481 496 511 526 541 556 571 586 601 616 631 646 661 676 691 706 721 736 751 766 781 796 811 826 841 856 871 886 901 916 931 946 961 976 991 1006 1021 1036 1051 1066 1081 1096 1111 1126 1141 1156 1171 1186 1201 1216 1231 1246 1261 1276 1291 1306 1321 1336 1351 1366 1381 Value - Act 14 Wearable Sensor Data Hear-rate Activity
  15. 15. Bio Conscious Tech. 15 Integrating Hr+Act+CGM
  16. 16. Bio Conscious Tech. 16 The BC Children’s study Blind study for 60-days (09/2017) Using Fitbit Blaze + Dexcom G5 8 Pediatric patients with Type 1 Diabetes Library: +12000hrs of Glucose, Activity, and Heart-rate data Clinical Testing

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