[quan·ti·fy] | verb | empowering mental health with data

Quantifying and Empowering Mental Health

Qntfy brings powerful data analysis to every health care professional's toolbox. We assess patients' mental health and well-being in an easy, objective, and non-invasive manner.

The importance of a patient's current and evolving mental health is critical to their individualized care. By empowering mental health clinicians, Qntfy's insights beyond current limited patient interactions can help make the critical difference in improving the well-being of patients.

Our approach emphasizes a range of new ideas. Data analysis can provide actionable information historically unavailable. Data visualization and prioritization in intuitive interfaces enable health care professionals to rapidly process and tailor patient care. Our data and analysis is guarded to the highest standards.


Individuals

Qntfy scales therapeutic impact. We provide insight to individuals, loved ones, and mental health professionals beyond the standard office appointment interaction. We provide actionable data-driven analysis and prioritization in intuitive interfaces, tailored to the lives of patients.

Populations

Qntfy's analytics scale gracefully using the latest in big data techniques, enabling quantified population-level insight quickly. This allows for rapid assessment, iteration of intervention, and unearthing of systemic issues, even in large populations.

Science

Our ground-breaking research regularly appears in peer-reviewed scientific publications.

2016

Exploratory Analysis of Social Media Prior to a Suicide Attempt.

Glen Coppersmith, Kim Ngo, Ryan Leary, Tony Wood.

Quantifying Suicidal Ideation on Twitter.

Tony Wood, Jesse Shiffman, Ryan Leary, Glen Coppersmith.

Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media.

Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar.

2015

Quantifying Suicidal Ideation via Language Usage on Social Media.

Glen Coppersmith, Tony Wood, Ryan Leary, Eric Whyne.

From ADHD to SAD: analyzing the language of mental health on Twitter through self-reported diagnoses.

Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead.

Introduction to the CLPsych-2015 Shared and Unshared Tasks: Depression vs. PTSD on Twitter.

Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell.

Quantifying the language of Schizophrenia in Social Media.

Margaret Mitchell, Kristy Hollingshead, Glen Coppersmith.

2014

Quantifying Mental Health Signals in Twitter.

Glen Coppersmith, Mark Dredze, Craig Harman.

Measuring Post Traumatic Stress Disorder in Twitter.

Glen Coppersmith, Craig Harman, Mark Dredze.

The Qntfy Team

Our team has diverse experience and wide-ranging backgrounds, including: psychology, data science, health care, computer science, and statistics.

Glen Coppersmith
Founder & CEO
Tony Wood
Co-founder & COO
Alex Yelskiy
Co-founder
Ryan Leary
CTO
James Dennis
Kim Ngo
Kate Loveys
Casey Hilland
John Richter
Matt DiFabion
Jaime Montemayor
Melanie Devenport
Josh Carroll
Erin Kelly
Jonathon Morgan
Eric Whyne
Michael May
Julianne Chaloux
Apollo

Qntfy in the News

Friends of Qntfy