计算健康科学案例

IF 5.9 Q1 Computer Science

Journal of Healthcare Informatics Research Pub Date : 2018-01-01 Epub Date: 2018-05-30 DOI:10.1007/s41666-018-0024-y

M Barnes, C Hanson, C Giraud-Carrier

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引用次数: 5

摘要

在这篇介绍性论文中，我们首先为计算健康科学做一个案例，我们将其定义为健康科学家、计算机科学家、工程师、心理学家和其他社会科学家的跨学科努力，进行创新研究，为未来的实践提供信息，通过改善沟通、网络和社会资本来改变健康行为。我们认识到并讨论了这样一个企业所面临的一些主要挑战，但也强调了相关的好处，我们认为这些好处远远超过了它们。然后，我们简要总结了对第一期计算健康科学特刊的贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Case for Computational Health Science.

In this introductory paper, we begin by making the case for Computational Health Science, which we define as the interdisciplinary efforts of health scientists, computer scientists, engineers, psychologists, and other social scientists, to conduct innovative research that will inform future practice directed at changing health behavior through improved communication, networking, and social capital. We recognize and discuss some of the main challenges involved with such an enterprise, but also highlight the associated benefits, which, we argue, significantly outweigh them. We then provide a brief summary of the contributions to this first Special Issue on Computational Health Science.

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来源期刊

Journal of Healthcare Informatics Research Computer Science-Computer Science Applications

CiteScore

13.60

自引率

1.70%

发文量

期刊介绍： Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics. The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications. Topics include but are not limited to: · healthcare software architecture, framework, design, and engineering;· electronic health records· medical data mining· predictive modeling· medical information retrieval· medical natural language processing· healthcare information systems· smart health and connected health· social media analytics· mobile healthcare· medical signal processing· human factors in healthcare· usability studies in healthcare· user-interface design for medical devices and healthcare software· health service delivery· health games· security and privacy in healthcare· medical recommender system· healthcare workflow management· disease profiling and personalized treatment· visualization of medical data· intelligent medical devices and sensors· RFID solutions for healthcare· healthcare decision analytics and support systems· epidemiological surveillance systems and intervention modeling· consumer and clinician health information needs, seeking, sharing, and use· semantic Web, linked data, and ontology· collaboration technologies for healthcare· assistive and adaptive ubiquitous computing technologies· statistics and quality of medical data· healthcare delivery in developing countries· health systems modeling and simulation· computer-aided diagnosis