Pistoia Alliance conference April 2016: Mini Startup Challenge: AIME
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Slides from the Pistoia Alliance European Conference in London on Tuesday 19th April 2016.
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Pistoia Alliance conference April 2016: Mini Startup Challenge: AIME
- 1. ARTIFICIAL INTELLIGENCE IN MEDICAL EPIDEMIOLOGY PREDICTING DISEASES. SAVING LIVES.
- 2. MALARIA DENGUE MEASLES FLUHIV/AIDS CHIKUNGUNYA EBOLA MERS TB GONORRHEA CHOLERA RABIES POLIO DENGUE 2.5B at RISK TB 1.5 Million Deaths HIV/AIDS 40M Infected FLU 100 Million Deaths EBOLA 90% fatality GONORRHEA 498M Cases MALARIA 219 Million CHOLERA 4 Million Cases
- 4. BRAZIL $1.3 B $440 M ECONOMIC IMPACT
- 7. “ The next outbreak? We're not ready yet.” - Bill Gates INTRODUCING
- 9. Weather HotspotsDengue Construction Bayesian Network Bayes Model Evidence Instantiation GLM MapReduce Regression Coeffs Table GLM Predict Single Tree Drive Decision Tree Table Single Tree Predict Predicted Cases Outbreak Likelihood Hotspot Likelihood Prediction DISEASE 93.0% Sensitivity 79.3% Specificity VALIDATED FIELD TESTED88.6% Accuracy
- 10. 84.11%5 days of Data Analysis With Limited Resources Accuracy of DISEASE ANALYTICS
- 14. GOVERNMENTS & MULTILATERAL ORGANIZATIONS PUBLIC HEALTH OFFICERS (VIA ANALYTICS INTERFACE) USERS OF THE COMMUNITY (VIA APP) BACKED BYUSED BY And possibly others like USAID, IDB
Editor's Notes
- Countries with constant outbreak spend on average $440 Million USD in outbreak control $1.3 Billion USD on outbreak control in Brazil
- Unknown area to carry out fogging & larvaciding Nationwide Health Campaign
- - Explain that the model has been tested with crowdsourced date and open government data.
- Example: With the help of VivaRio and Singularity University in NASA Ames, we traveled to Rio de Janeiro 3 weeks ago. Even due the limited time and staff, we were able to achieve, after 5 days of analysis, an accuracy of 84% in a small area in Rio de Janeiro. Not only that, but we also verified that the data you have recorded is of great use, meaning that AIME would not require any change in the current reporting infrastructure.
- Example: We plan to bring these platform to other cities by: Success Stories in the media (Highlight Brazilian news) Smart partnerships, as we have with Singularity University in Nasa Ames, and VivaRio, whose help was key in producing the results in Rio de Janeiro