The healthcare sector is an important pillar of every community, numerous research studies have been carried out in this context to optimize medical processes and improve care quality and facilitate patient management. In this article we have analyzed and examined different works concerning the exploitation of the most recent technologies such as big data, artificial intelligence, machine learning, and deep learning for the improvement of health care, which enabled us to propose our general approach concentrating on the collection, preprocessing and clustering of medical data to facilitate access, after analysis, to the patients and health professionals to predict the most frequent pathologies with better precision within a notable timeframe. keywords: Healthcare, big data, artificial intelligence, automatic language processing, data mining, predictive models.
翻译:医疗保健部门是每个社区的重要支柱,大量的研究工作已经在这个背景下开展,以优化医疗流程,提高护理质量,促进患者管理。在本文中,我们分析和研究了涉及最新技术(如大数据、人工智能、机器学习和深度学习)的不同作品,以改善医疗保健,使我们能够提出我们的一般方法,集中在医学数据的收集、预处理和聚类,以在显着时间范围内提高精度,帮助患者和医疗专业人员预测最常见的病症。关键词:医疗保健、大数据、人工智能、自动语言处理、数据挖掘、预测模型。