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，总部位于密西沙加（Mississauga）。该平台允许用户24/7访问认可的医疗保健专业人员，以谈论他们的健康问题。典型的医生会议涉及并行文本聊天，在此期间，医生与几个用户进行互动。该模型要求医生在跟踪每次对话的同时，花时间打字回答，这对生产力产生了重大的负面影响。该公司将其确定为YDO盈利能力，收入增长和采用市场的主要障碍之一。 为了克服这一障碍，该公司需要一种解决方案，以最大程度地减少医生花费的时间。更具体地说，该公司旨在建立一个短语推荐（PR）引擎，以建议适用于主题和对话上下文的一组短语或句子。开发这种工具的第一步是建立一个知识库（或本体论），在该工具中，现有的YDO数据（将超过300,000个关于从儿童健康到受孕和怀孕的话题的对话都将被聚集和分类（标记）； HealthAtech与Seneca合作使用AI/机器学习技术，目的是建立知识库，以进一步开发YDO PR引擎。