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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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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:
海外基金