Status and Prospects of Applying Machine Learning for Diagnosis and Treatment in African Healthcare Industry

Abstract

There is a big difference on healthcare industry between Africa and advanced countries, which represent in lacking medical equipment and backward skills of treatment. The United Nation are thinking about how to eliminate this variance with not only give medical resources but also apply technology to improve the efficiency of using supplies. To train skilled healthcare workers require long-term and expensive investment, but when the pandemic outbreak, there are few talents who can handle complex and extensive work. Therefore, the scientists start to use computer science to replace with manual work, which is more precise and efficient than human beings. Meanwhile, the information technology has developed to the new stage that using big data and advanced algorithms for predicting future potential results which aim to guide better intervention and treatment work. The United States and other advanced countries have the number of effective cases about using these technologies, but the revolution of healthcare is still processing in Africa. The early stage of applying computer technologies in Africa means that there is a big potential market for both scientists and businessmen to explore more solutions for Africa since the adaptive transformation is the key step in the implement.

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