New Research Agenda:Potentials Use of Machine Learning for Public Health

Research output: Chapter in Book/Report/Conference proceedingChapter


In the era of Industrial Revolution 4.0, the question is to what extent this development has been utilized in the field of public health? In fact, in this era there are a number of technological developments, especially information technology, among others, Big Data Analytics and Machine Learning that can be utilized in the field of public health.Public health surveillance that traditionally uses structured data, with the development of information technology today, the surveillance can use textual data. Using Machine Learning, the surveillance would be able to assess public opinion that are negative about a public health program, for example the immunization program. Machine Learning could also assist public health researchers to develop a model to predict the occurrence of certain ill health, which can then test the model with available data, regarding the accuracy of themodel in predicting the event. The objectives of this paper are, firstly toprovide some of the Faculty of Public Health University of Indonesia (FPHUI) achievements in utilizing the potentials of Machine Learning. Secondly, to identify the future Health Informatics research agenda, especially in the use of Machine Learning.
Original languageEnglish
Title of host publication4th International Symposium on Health Research (ISHR 2019)
Publication statusPublished - 2020


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