DIA会员及用户请点击登录

登录

忘记用户 ID? or 忘记密码?

Not a Member?

创建账户并加入。

Virtual Event

2021 年 10 月 25 日 10:00 上午 - 2021 年 10 月 26 日 5:15 下午

(US Eastern Standard Time)

Horsham, PA 19044

Real-World Evidence Conference

Translating Insights into Real-World Value.

Exhibitor Event/Non-CE: Case Study Spotlight

Session Chair(s)

Stephen  Doogan

Stephen Doogan

Chief Product Officer

Real Life Sciences, Inc., United States

Nardin  Farid

Nardin Farid

United States

*This course requires a Separate RSVP.

Quantifying Unmet Patient Needs with Social Media Epidemiology and Natural Language Processing (NLP)

By leveraging deep NLP frameworks and Social Media Data we can generate novel insights along the patient journey. With the SPEC-F impairment framework, we apply structure to unstructured social media narratives and remove noise to generate novel insights from previously uncaptured real-world data. In this webinar, we discuss how multiple functions within Pharma use the same platform, approaches, and insights to power their respective functional activities. We will examine a case study on amplifying the patient voice in a variety of diseases and functional areas across the drug lifecycle.

Click here to RSVP!

Learning Objective : Featured Topics
  • Industry Challenges with RWD
  • Defining “Social Media Epidemiology”
  • How effective NLP supports amplification of the patient voice
  • Explaining the SPEC-F Framework
  • Case Study: Novel Insights From Social Media Epidemiology - Alzheimer’s Disease

获得信息并保持参与

不要错失任何机会——请加入我们的邮件列表,了解DIA的观点和事件。