Health Informatics

The Division of Health Informatics pursues research, education, and service in the application of information science and technology to improve human health, healthcare quality, and the value of healthcare. Division faculty have expertise in the use and effects of information technology in healthcare, such as adoption, usability, fit, utility, generalizability, scalability or sustainability, and in the intelligent use of data to inform policy and decision making, such as applications of data mining, machine learning or analytics. Division faculty and staff participate in multi-disciplinary, collaborative projects with other divisions, departments and partner organizations, including faculty, staff and students at the Medical College in NYC and Qatar, New York-Presbyterian Hospital, Cornell Tech and Cornell University in Ithaca.

Training Grant

CUNY-WCM Big Data Training Program in Biomedical Informatics (BD2BMI)

Affiliated Education Program

Health Informatics Master's Track

Current Research Highlights

Social Media Sentiments on Suicides at the New York City Landmark, Vessel: A Twitter Study

September 19, 2022

On March 15, 2019, Vessel opened to the public as a prominent feature of the new Hudson Yards Public Square. Unfortunately, the popular tourist attraction, designed for both climbing and sightseeing, soon gained notoriety for a different reason when it became the site of four suicides in less than two years. Shortly after the first incident, conversations relating to suicide-related activity at Vessel began appearing on Twitter. In a new ...

Highlights

Primary Open-Angle Glaucoma Diagnosis From Optic Disc Photographs Using Siamese Network

August 31, 2022

Researchers proposed a Siamese neural network to simulate the diagnosis process for primary open-angle glaucoma (POAG) in a new study published in Ophthalmology Science. A leading cause of irreversible blindness in the U.S. and the...

Highlights

Automated Diagnosing Primary Open-Angle Glaucoma From Fundus Image By Simulating Human’s Grading With Deep Learning

August 22, 2022

Researchers are seeking to use deep learning methods to diagnose primary open-angle glaucoma (POAG), one of the leading causes of blindness. In a new study published in Scientific Reports, senior author Dr. Yifan Peng, assistant professor of population health sciences, and colleagues present an automated classification algorithm named...

Highlights

Health Informatics

Training Grant

Affiliated Education Program

Current Research Highlights

Social Media Sentiments on Suicides at the New York City Landmark, Vessel: A Twitter Study

Primary Open-Angle Glaucoma Diagnosis From Optic Disc Photographs Using Siamese Network

Automated Diagnosing Primary Open-Angle Glaucoma From Fundus Image By Simulating Human’s Grading With Deep Learning

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