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Study of speech enabled healthcare technology

机译:致辞启用医疗技术的研究

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Cost and quality of healthcare are the most challenging requirements in today's fastest growing medical technology and to meet these requirements automatic speech recognition (ASR) is one of the blessings to the medical world. ASR offers the potential to dramatically improve the cost and quality of healthcare service; many developments took place in national and international standard like e-prescription, clinical documentation, speech recognition in radiology, pathological speech signal analysis, etc. Recently a large number of hospitals and doctors use these types of medical technology to deliver better services to the patient. This paper presents a review of recent advancement on medical technology based on speech recognition. It covers some of the speech based healthcare research and software, the implementation framework and application and also this paper come up with a new idea of research to identifying the symptoms of diseases using machine learning and ASR to improve medical technology.
机译:医疗保健的成本和质量是当今增长最快的医疗技术中最具挑战性的要求,并满足这些要求的自动演讲识别(ASR)是医科界的祝福之一。 ASR提供了大大提高医疗保健服务的成本和质量的潜力;许多发展在国家和国际标准中发生了电子处方,临床文档,语音识别,放射学,病理语音信号分析等。最近,大量医院和医生使用这些类型的医疗技术为患者提供更好的服务。本文提出了基于语音识别的最新医疗技术进步述评。它涵盖了一些基于语音的医疗保健研究和软件,实施框架和应用以及本文提出了一种新的研究思想,以鉴定使用机器学习和ASR来提高医疗技术的疾病症状。

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