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Development of knowledge base for contextualized recommendation engine for the 'Your Doctor Online' telehealth platform

Development of knowledge base for contextualized recommendation engine for the 'Your Doctor Online' telehealth platform
为“您的在线医生”远程医疗平台开发情境化推荐引擎知识库
批准号:
555466-2020
负责人:
Leaver, Chad
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
翻译
HealthATech Solutions Inc.成立于2016年,总部位于密西索加州,拥有并运营着一家名为Yourdoctorsonline.com(或YDO)的网站。该平台允许用户全天候联系经过认证的医疗专业人员,谈论他们对健康的担忧。一个典型的医生会议包括平行的文本聊天,在此期间医生与几个用户互动。这种模式需要医生花时间打字回答,同时记录每一次对话,这对工作效率有很大的负面影响。该公司认为,这是YDO盈利、收入增长和市场采用的主要障碍之一。 为了克服这一障碍,该公司需要一种解决方案,将医生花费在打字上的时间降至最低。更具体地说,该公司的目标是建立一个短语推荐(PR)引擎,以建议一组适用于主题和对话上下文的短语或句子。开发这样一个工具的第一步是建立一个知识库(或本体),在这里,现有的YDO数据,包括从儿童健康到怀孕和怀孕的300,000多个话题,将被聚集和分类(标记);HealthATech正在与Seneca合作,使用人工智能/机器学习技术,目标是建立一个知识库,以支持YDO公关引擎的进一步开发。
英文摘要
Founded in 2016 and based in Mississauga ON, HealthATech Solutions Inc. owns and operates a website called yourdoctorsonline.com (or YDO). The platform allows users to access accredited healthcare professionals 24/7 to talk about their health concerns. A typical doctor's session involves parallel text chats, during which the doctor interacts with several users. This model requires the doctor to spend time typing responses while keeping track of each conversation, which has a significant negative impact on productivity. The company identified this as one of the main barriers to YDO's profitability, revenue growth and market adoption. To overcome this barrier, the company needs a solution that will minimize the time doctors spend typing. More specifically, the company aims to build a Phrase Recommendation (PR) engine to suggest a set of phrases or sentences applicable to the topic and the context of the conversation. The first step in developing such a tool is to build a knowledge-base (or ontology), where the existing YDO data, with over 300,000 conversations on topics ranging from child health to conception and pregnancy, will be clustered and classified (labeled); HealthATech is partnering with Seneca to use AI/Machine Learning techniques with the goal of building a knowledge-base to enable further development of the YDO PR engine.
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  • 批准号:
    560436-2020
  • 项目类别:
    Applied Research and Development Grants - Level 1
  • 资助金额:
    $1.82万
  • 财政年份:
    2020
  • 负责人:
    Leaver, Chad
  • 依托单位:
Seneca Centre for Innovation in Life Sciences (SCILS)
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  • 批准号:
    549520-2019
  • 项目类别:
    Applied Research and Development Grants - Level 1
  • 资助金额:
    $1.82万
  • 财政年份:
    2020
  • 负责人:
    Leaver, Chad
  • 依托单位:
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