Abstract
Health is an important factor that contributes to human well-being and economic growth. Women’s health can be examined in terms of multiple indicators, which vary by geography, socioeconomic standing and culture. Currently, women face a multitude of health problems. To make health services more equitable and accessible for women and to adequately improve the health of women, multiple dimensions of well-being must be analysed in relation to global health average and also in comparison to men. Proposed system collects and analyses the information regarding the issue of women’s health through social media regarding women’s health to know about the diseases suffered by them. To accomplish this task, we track online health-related conversations about women from Twitter like maternal health, cancer, cardiovascular diseases, etc. These are analysed and outcomes are represented as graphs. This work helps in taking necessary preventive measures to control the diseases.
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Kiran, A., Vasumathi, D. (2018). Predictive Methodology for Women Health Analysis Through Social Media. In: Bhateja, V., Tavares, J., Rani, B., Prasad, V., Raju, K. (eds) Proceedings of the Second International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 712. Springer, Singapore. https://doi.org/10.1007/978-981-10-8228-3_47
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DOI: https://doi.org/10.1007/978-981-10-8228-3_47
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