Introduction to Artificial Intelligence Prediction for Healthcare

Anindya Chakravorty
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Abstract

Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by the increasing availability of healthcare data and rapid progress of analytics techniques.1 AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. 
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医疗保健人工智能预测导论
人工智能(AI)旨在模仿人类的认知功能。它正在为医疗保健带来范式转变,这得益于医疗保健数据的日益可用性和分析技术的快速进步人工智能可以应用于各种类型的医疗保健数据(结构化和非结构化)。流行的人工智能技术包括结构化数据的机器学习方法,如经典的支持向量机和神经网络,现代深度学习和非结构化数据的自然语言处理。使用人工智能工具的主要疾病领域包括癌症、神经病学和心脏病学。
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