The Intersection of Data Science & Healthcare @ Klick Health

May 2, 2019 · Toronto, Canada

Happy Spring, everyone! TWDG is happy to announce that our May event will be hosted by Klick Health. Join us for talks focusing on the application of data science to health data.

At this event, you'll hear how to deal with missing data in time series data when predicting blood glucose levels in patients with Type I diabetes; how to identify influential healthcare professionals in the pharmaceutical industry using social media activity, publications, as well as network and credibility measures; and how natural language processing (NLP) can be used to extract meaningful information from clinical notes. Come join us to learn more from these accomplished women in data science!

ABOUT Klick Health

Klick Health is the world’s largest independent, full-service marketing agency and commercialization partner for life sciences. Klick has been named Agency of the Year six times over the last seven years by the industry’s leading publications and was recognized by the 2018 Cannes Lions Health Awards for its client campaigns. Klick operates with a fiercely independent spirit at the intersection of technology, creativity, and strategy. The Klick family is a diverse group of people who are driven and connected by a shared culture and commitment to the relentless pursuit of awesome.

TOPICS
Predicting Blood Glucose Levels of Type 1 Diabetes Patients: Experiments in Data Imputation
- Clare Jeon is a data scientist at Klick Health, where she focuses on identifying digital biomarkers for diagnosis, risk assessment of diseases and prevention of health problems. She was previously involved in working on the systems biology of cancer and the development of computational pipeline to identify key genomic and clinical signatures for cancer treatment. She holds a Ph.D degree in bioinformatics and systems biology.

Identifying Key Opinion Leaders (KOLs) in the pharmaceutical industry
- Sarah Sarabadani is a data scientist who joined Klick Health in 2017. In her master’s studies in biomedical engineering at U of T she worked on classification of time series using ML algorithms to identify patterns in physiological signals of children with autism while watching pictures in order to stimulate various affective states. Since joining Klick Health, she has worked on several client and research projects including projects to optimize spend on marketing tactics, identifying the most influential physicians (KOLs), and social media mining to detect Adverse Drug Reaction (ADR) mentions in tweets.

Extracting Medical Information from Clinical Notes
- Lediona Nishani, PhD, is an accomplished data scientist at Klick Health with a bold vision of how AI and machine learning algorithms can positively impact a growing number of industries, particularly in health care. With research experience spanning both the academic and industrial spheres, at Klick, Dr Nishani’s work is focused primarily on Information Extraction in clinical domain; leveraging NLP techniques to extract useful information from clinical text. She has developed Information Retrieval engines that will help clinicians sift through biomedical research articles to find relevant treatment for patients’ cases.

AGENDA
6:00pm to 6:30pm - Networking
6:30pm to 7:15 - Presentations
7:15 to 7:30pm - Q&A
7:30pm to 8:00pm - Networking

Event organizers
  • Toronto Women's Data Group

    This group is for women** interested in data science, data analytics, data engineering, and math and stats. The purpose is to provide an open and fun environment for women to network, learn and innovate. This group is open to women already in or aspiring to be in data driven fields. **This is an inclusive definition of “women” and we welcome trans, genderqueer, and non-binary folks who identify as female.

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