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: Seneca College of Applied Arts and Technology
• 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
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705829
• 关键词: Development; knowledge; base; contextualized; recommendation

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.

HealthATech Solutions Inc.成立于2016年，总部位于安大略省密西索加。拥有并运营一个名为yourdoctorsonline.com（或YDO）的网站。该平台允许用户24/7访问经认证的医疗保健专业人员，讨论他们的健康问题。典型的医生会话涉及并行文本聊天，在此期间，医生与多个用户交互。这种模式要求医生在记录每次谈话的同时花时间输入答案，这对生产力有很大的负面影响。该公司认为这是YDO盈利能力、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，以最大限度地减少医生花费打字的时间。更具体地说，该公司的目标是建立一个短语推荐（PR）引擎，以建议一组适用于话题和对话上下文的短语或句子。开发这种工具的第一步是建立一个知识库（或本体），其中现有的YDO数据，有超过30万个关于儿童健康、受孕和怀孕等主题的对话，将被聚类和分类（标记）; HealthATech正在与Seneca合作，使用AI/机器学习技术，目标是建立一个知识-为进一步开发YDO PR引擎奠定了基础。