Check out the latest competition I just launched at work!
According to a World Health Organization (WHO) report released in 2011, about 820,000 women and men aged 15-24 were newly infected with HIV in developing countries. Over 60% of these were women. Among so many other challenges, developing countries are plagued with serious reproductive health illnesses such as sexually transmitted infections (STIs), unintended pregnancies, and complications from childbirth. A key priority for policymakers, researchers, and health care providers working in developing nations is to emphasize prevention and distribution of information about STIs and other reproductive tract infections (RTIs). This report on Improving Reproductive Health in Developing Countries from the U.S. National Academy of Sciences contains additional information on the topic.
To achieve the goal of improving women’s reproductive health outcomes in underdeveloped regions, Microsoft has created a competition calling for optimized machine learning solutions to allow a patient to be accurately categorized into different health risk segments and subgroups. Based on the categories that a patient falls in, healthcare providers can offer an appropriate education and training program to patients. Such customized programs have a better chance to help reduce the reproductive health risk of patients.
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