Name: Making Sense of Complex Patient-Generated Mobile Health Data
Start: 2023-01-24T18:30:00-05:00
End: 2023-01-24T20:30:00-05:00
Location: BrainStation

**[External registration](https://nyhackr.org/?utm_source=nyhackr)** required at **[nyhackr.org](https://nyhackr.org/?utm_source=nyhackr)**.

We're starting the year both in-person and virtual with **[Ipek Ensari](https://twitter.com/datatransformr?utm_source=nyhackr)** talking to us about mobile health data.

Thank you to **[BrainStation](https://brainstation.io/?utm_source=nyhackr)** for hosting us.

Everybody attending must **[RSVP](https://nyhackr.org/?utm_source=nyhackr)** through the registration form at **[nyhackr.org](https://nyhackr.org/?utm_source=nyhackr)**. Both in-person and virtual tickets are free, though we need a separate count for each for the venue.

**About the Talk:**
Rapid advances in mobile health (mHealth) technology are enabling unprecedented granularity into patient health status and disease experience. However, how to best handle the often complex patient-generated mHealth data requires several considerations so that we can derive meaningful insights. This is particularly important when working with populations that are at increased risk for health disparities and those who may be hard to reach. In this talk, Ipek will discuss some of these methodological issues in the context of her latest work with ecological momentary assessments to investigate daily patterns of physical activity, sleep and daily stressors among sexual and gender minority adults. She will focus on harmonizing longitudinal multi-modal data, functional data approaches, and special considerations for small sample sizes.

**About Ipek:**
Ipek is an Assistant Professor at the Department of Artificial Intelligence and Human Health at the Icahn School of Medicine and the Hasso Plattner Institute of Digital Health at Mount Sinai. She investigates mobile health (mHealth) and machine learning methods for complex patient-generated data toward improving chronic disease characterization and patient self-management. Her work is grounded in women’s reproductive health conditions (e.g., endometriosis) and populations at increased risk for health disparities. She is currently leading a NIH-funded project that aims to design digital patient reported outcome measures for improved real-time measurement and monitoring of chronic pain symptoms outside of the clinic. Ipek completed her doctorate at the University of Illinois at Urbana-Champaign and post-doctoral training at Columbia University.

The venue doors open at **5:45 PM America/New_York** where we continue **[enjoying pizza](https://nyhackr.org/pizza.html?utm_source=nyhackr)** together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at **6:30 PM America/New_York**.

Remember, **register at [nyhackr.org](https://nyhackr.org/?utm_source=nyhackr)**.

This event is sponsored and hosted by BrainStation. Founded in 2012, BrainStation works with industry leaders from the most innovative companies, developing cutting-edge digital education that has empowered more than 100,000 professionals and some of the largest corporations in the world. With the recent expansion of their headquarters in SoHo, BrainStation intends to train more than 5,000 professionals across New York every year, giving them the skills they need for the most in-demand jobs in Design, Software Engineering and Data Science.

Remember, **register at [nyhackr.org](https://nyhackr.org/?utm_source=nyhackr)**.

Jared Lander

New York Open Statistical Programming Meetup

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Making Sense of Complex Patient-Generated Mobile Health Data

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New York Open Statistical Programming Meetup

Making Sense of Complex Patient-Generated Mobile Health Data

New York Open Statistical Programming Meetup

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