| Biographie |
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| Rahman Tawhid is in grade 11. My interest is solving real life applications based on health and computer. I like to explore and dig in problems regardless the time spent. I've anticipated in Science Fair since 2011. I was a co-invistigator for a project on using solar energy for cooking and entered it in 2011. Another project was using a Raspberry Pi to measure the temperature inside home and controlling it outside your home. I also designed an app to cut the bill of electricity at home. I decided to focus on the health industry this year, in finding a solution to fighting Chronic Disease. I used the field of Data Mining in working with a dataset provided from the Public health Agency of Canada, and came up with predictive models to predict early stages of a certain disease or features of a disease, and put it in an app. A long term for this project is to extend this app from residential to industry. It is important to select a project that will be useful to our real life problems, it is essential that you continue in the project to enhance it as much as you can. |
| Abdalrahman Tawhid
An Innovative Predictive Approach to Explore Chronic Disease Trends
| Défi: | Santé | | Catégorie: | Sénior | | Région: | Cariboo Mainline | | Ville: | Kamloops, BC | | École: | Sa-hali Secondary | | Sommaire: | This project utilizes machine learning methods to benefit the health industry, and fight the rapid growth of chronic disease. It is conducted on a Canadian dataset, and involves the optimization of the Sequential Minimal Optimization algorithm, into a brand new accurate algorithm. Formulae were created to predict future occurring trends in the health industry. These models are incorporated in an accessible mobile application. |
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