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Precision HIV Health App, Positive Peers, Powered by Data Harnessing, AI, and Learning

机译：精准的HIV健康应用程序，积极对等，由数据管理，人工智能和学习支持

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摘要

Mobile phone applications provide a new and easy-access platform for delivering tailored human immunodeficiency virus (HIV) and sexually transmitted disease (STD) prevention and care. Recent researches have shown that mobile interventions have positive effects in adhesive to care program, antiretroviral therapy (ART), self-management of disease, and are also critical in decreasing the HIV pandemic, and stigmatization. In this paper, a precision health app, Positive Peers (PP), has been developed collaboratively while enabled by data harnessing, Artificial Intelligence (Al), and learning. Positive Peers is an Android/iOS-based social media app for providing support and information to a young adult subgroup living with HIV who are in strong need of support and motivation. We apply an intervention approach combined with Natural Language Processing (NLP) to help the targeted youth to engage more with the app. Using NLP facilitates the flow of information that has a critical role in decreasing the uncertainty of patients by being injected to useful related information. It further improves the interaction of users of the app while providing a compact platform for users to better find the answers to their questions and concerns. The NLP system has been evaluated in an alpha test.
机译：手机应用程序为提供量身定制的人类免疫缺陷病毒（HIV）和性传播疾病（STD）的预防和护理提供了一个新的且易于访问的平台。最近的研究表明，移动干预对坚持护理计划，抗逆转录病毒疗法（ART），疾病的自我管理具有积极作用，并且对于减少HIV大流行和污名化也至关重要。在本文中，通过数据利用，人工智能（Al）和学习的支持，协作开发了一种精确的健康应用程序Positive Peers（PP）。 Positive Peers是一个基于Android / iOS的社交媒体应用程序，用于为非常需要支持和动力的艾滋病毒感染者提供支持和信息。我们将干预方法与自然语言处理（NLP）结合使用，以帮助目标年轻人与该应用进行更多互动。使用NLP可以促进信息流，因为信息流可以通过注入有用的相关信息来降低患者的不确定性，从而发挥关键作用。它进一步改善了应用程序用户的交互性，同时为用户提供了一个紧凑的平台，可以更好地找到他们的问题和疑虑的答案。 NLP系统已通过alpha测试进行了评估。

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