ML models help identify people in need of advanced depression care


Depression is the world’s most common mental illness. It is estimated that the World Health Organization impacts about 350 million individuals. Some individuals can handle their depression on their own or with a primary care provider’s assistance. Others, however, may have more severe depression requiring advanced care from suppliers of mental health care.

Researchers from Regenstrief and IU developed algorithms to recognize those patients so that physicians and suppliers of primary care can refer them to experts in mental health.

The objective was to construct reproducible models that match into clinical workflows according to Suranga N. Kasthurirathne, PhD, Regenstrief Institute’s first document author and research scientist. “This algorithm is special because it offers clinicians with actionable data to help them define which people may be more at danger for worse events from depression.

The algorithms mixed a broad range of cognitive and clinical data for clients in Eskenazi Health from the Indiana Network for Patient Care, a nationwide exchange of health information. Dr. Kasthurirathne and his group created algorithms for the full population of patients as well as various high-risk organizations

Dr. Kasthurirathne commented that they give health system leaders the choice to select the finest testing strategy to their requirements by developing models for distinct patient communities. Maybe they don’t have the computing or human resources to operate simulations on every single patient, which provides them the choice of screening high-risk individuals. Dr. Kasthurirathne is also works at IUPUI’s Richard M. Fairbanks School of Public Health, Indiana University as a visiting research assistant professor.

Primary care physicians often have restricted time, and it can be difficult and time-consuming to identify patients with more serious types of depression. At the same time, Shaun Grannis, M.D., M.S., co-author on document and director of the Regenstrief Institute Clem McDonald Center for Biomedical Informatics said our model enables them to assist their clients more effectively and enhance quality of care. Our strategy is also well adapted to enhancing the implementation and interoperability of health information technology to allow preventive care and enhance access to wraparound health facilities.

Dr. Grannis is Professor of Biomedical Informatics at Indiana University School of Medicine at Clem McDonald.

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The winner of the title Mr. Pune 2009, Mr. Shreyas Tanna is currently the young, dashing, and dynamic CEO of a market research company called ResearchNReports in Pune. Fondly known as RNR, the company specializes in market research as well as industry analysis, and is closely associated with its parent company Absolute Market Insights (AMI). Mr. Shreyas Tanna began his corporate journey as the Head of Corporate sales & PR at RED Entertainment while pursuing his degree for MMS (Marketing) from the MGM College of Management, Mumbai. After accomplishing the tedious task of balancing his work and education, he further polished his skills in Corporate Sales, Public Relations, Channel Development, Global Client Engagement, Strategic Consulting, and Brand Development by working with HDFC Life and Researchmoz Global Pvt. Ltd. His dedication towards his work has even won him accolades such as the National Level Performer 2013 – HDFC Life and Mr. Research Moz 2015. A disciplined individual with a loving heart, he is often seen taking crisp walks with an engrossed look and a gentle smile within the premises of his company to interact with the various departments. And he will be usually followed by an adorable trail of his beloved trio of Shih Tzu babies proudly known as Gucci, Drake, and Paris. The most enticing thing that you will notice about this content and proud pet parent is his infectious positivity and the firm belief in his eyes, a reflection of his favorite quote, “LIFE IS BEAUTIFUL!”