Machine learning is one of the essential and effective tools in analyzing highly complex medical data. With vast amounts of medical data being generated, there is an urgent need to effectively use this data to benefit the medical and health care sectors all across the world. This survey paper presents a systematic literature review for the investigation of various machine learning techniques used for numerous medical applications which are published in highly reputable venues in recent years. Considering only the recent work, we are able to survey the current machine learning and deep learning models that are being used for medical data. This literature review identifies a clear shift of artificial intelligence techniques used in the medical domain, with deep learning methods taking precedence over machine learning methods.

机器学习是分析高度复杂的医学数据的基本和有效工具之一。随着大量医疗数据的产生，迫切需要有效地使用这些数据使全世界的医疗卫生部门受益。这份调查报告提供了系统的文献综述，以研究近年来在知名度很高的场所中发布的用于众多医学应用的各种机器学习技术。仅考虑最近的工作，我们就能调查用于医学数据的当前机器学习和深度学习模型。这篇文献综述确定了医学领域中人工智能技术的明显转变，其中深度学习方法优先于机器学习方法。