Hospital Recommender System

Shrey Sumariya, Shreyas Rami Rami, Shubham Revadekar, Vidhan Shah, Sudhir Bagul
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Abstract

Elderly patients require more medical effort. It is clear that early-stage disease diagnosis can support timely and appropriate treatment. But if you don’t pay attention in a timely manner, it can lead to different kinds of health problems that can lead to death. Take advantage of our recommendation system to recommend hospitals. A recommender system uses algorithms to provide product or service recommendations to users. By combining blockchain technology and machine learning models, we provide users with highly accurate recommendations. This whitepaper describes how sophisticated machine learning models and blockchain can be connected to improve recommendations, providing hospitals with higher performance and more accurate recommendations. An optimized model for recommending hospitals in a better manner is the main goal behind this paper.
医院推荐系统
老年病人需要更多的医疗努力。很明显,早期疾病诊断可以支持及时和适当的治疗。但如果你不及时注意,它可能会导致各种各样的健康问题,甚至导致死亡。利用我们的推荐系统推荐医院。推荐系统使用算法向用户提供产品或服务推荐。通过结合区块链技术和机器学习模型,我们为用户提供高度精准的推荐。本白皮书介绍了如何将复杂的机器学习模型和区块链连接起来,以改进建议,为医院提供更高的性能和更准确的建议。一个优化的模型,以更好的方式推荐医院是本文的主要目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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