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：医疗保健领域是每个社会的重要支柱。为此，众多研究致力于优化医疗流程、提升护理质量并简化患者管理。本文分析并审查了利用大数据、人工智能、机器学习和深度学习等最新技术改善医疗保健的相关研究，从而提出了一种通用方法。该方法聚焦于医疗数据的收集、预处理与聚类，以简化数据分析后的访问流程，使患者与医疗专业人员能够在显著缩短的时间内，更精准地预测最常见的病理类型。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