AIMEpredicts Dengue and Zika outbreaks in tropical countries with Artificial Intelligence in order to improve the ability of public health professionals to make informed decisions. This enables public health professionals to reduce the high cost of vectorborne diseases control and to increase the effectiveness of existing vector control methods, saving lives and resources.
How does your inn...
SEE ALLAIMEpredicts Dengue and Zika outbreaks in tropical countries with Artificial Intelligence in order to improve the ability of public health professionals to make informed decisions. This enables public health professionals to reduce the high cost of vectorborne diseases control and to increase the effectiveness of existing vector control methods, saving lives and resources.
How does your innovation work?
Multi-platform SYSTEM, which involves responsive web applications and mobile apps, all connected through the same backbone database, scalable by design and modular enough to be able to keep innovating with new solutions to public health problems (for example not only regarding Zika or Dengue, but modular enough to even integrate diseases like Tuberculosis or Diabetes).
This solution is unique because: 1. It leverages itself in the convergence of epidemiology and an “exponential” technology, which is Artificial Intelligence, though the use of machine learning techniques. Enabling for automated processing of data, higher accuracy and adaptive results. The model understands the disease, its trends and how it behaves according to the inputs we give to it. 2. It is build with the assistance of experienced public health officers, for public health officers. AIME provides a solution to the issue of importance of its target users, because it is designed by people that belonged and served in the public health environment. 3. Although the platform uses a great amount of computing knowledge, its backbone is epidemiological research, rather than computing research. This is of highest importance, as the variables used to analyze the disease was obtained after cumulative years of work in epidemiology. Having a health platform backed by health research ensures the impact it can have if implemented. 4. The platform has been field tested in multiple environments, and has been proven to [accurately] work even with limited sets of data. 5. The platform itself is easy to implement and replicable in different countries. 6. It has the ability to evolve, by researching new disease the platform will grow to become the premier analytics platform. The “Bloomberg” of public health, with a “Palantir” methodology.
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