Abstract
The need for an intelligent healthcare system is indispensable. The limited knowledge and experience of doctors lead to inaccurate predictions and diagnosis of the health-related issue. Patients also have very little knowledge about the drugs that have been prescribed to them. This kind of knowledge is crucial for the patients to judge their diagnosis done by the doctor. To make people familiar with this, we have proposed a model. This model consists of three phases. (1) The first phase deals with the disease prediction on the basis of symptoms entered by the patient. (2) The second phase will suggest the patient the best drug suitable for his condition. (3) The last phase is recommending the best hospital for his/her treatment. Various machine learning algorithms have been applied to the dataset. Results show that the model is able to give medical guidance precisely and effectively.
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Rathi, M., Jain, N., Bist, P., Agrawal, T. (2020). Smart HealthCare Model: An End-to-end Framework for Disease Prediction and Recommendation of Drugs and Hospitals. In: Nanda, A., Chaurasia, N. (eds) High Performance Vision Intelligence. Studies in Computational Intelligence, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-15-6844-2_17
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DOI: https://doi.org/10.1007/978-981-15-6844-2_17
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