MEDACINS objective is to replace the current traditional practice of nutrition intervention in the region with a more data-driven approach using Advanced Supervised Machine Learning (ML) algorithms. We established a regional intelligent surveillance and monitoring program to compact the diet-related non-communicable diseases (NCDs) risk factors in the region which has contributed to the steady rise of NCD. Also, the platform implemented to conduct future surveys as part of the regional surveillance and monitoring of NCDs. Furthermore, it will provide users with individualized suggestions to improve their health behaviors based on their responses. The platform includes the food composition databank from partner countries integrated with the personalized surveillance dataset for providing more accurate and adequate intervention plans. The regional nutrition intervention service will reduce the prevalence of overweight and obesity in the long term at the regional level. The project helps the health care system to move from population-based guidance to personalized intervention. The ML approach provides a more accurate and adequate intervention plan at the individual level. Furthermore, it provides researchers, healthcare providers, governmental and non-governmental organizations with the tools to improve population health. Also, it is a great opportunity for further data analytics by ML engineers and medical experts.
https://palnut.org
Completed
2019
2021
This project can be replicated for other diseases and health problems at the national and reginal levels.
The project will provide business services for generating income, also it will be implemented within the Ministry of health care system. Furthermore, It is open for researchers, students and NGOs for further development and use.
The project prompts the WSIS values in integrating the ICT in the SDG development in Palestine: This project promotes the sustainable health and well being development in Palestine by developing business intelligence process and data mining platform that enhance data usage, visualization and data driven decision making for cancer healthcare process in Palestine. The solution will provide robotic, and intelligent process and data automation tools for data collection, processing, analysis and visualization that help healthcare providers, leaders, and researchers to use the health data sets, and to instantly identify deviations from the ideal process flow and includes easy-to-use, point-and-click tools out of the box to find the root cause of problems that could be costing healthcare organization time and money.
Al-Quds University (AQU)
Palestine — Academia
http://www.alquds.edu
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