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Alternative Title

Interactive interface for mitigating diagnostic bias in mental health care

Publication Date


First Advisor

R. Jordan Crouser

Document Type

Honors Project

Degree Name

Bachelor of Arts


Computer Science


Mental health care, Diagnosis, Interface, Diagnostic bias, DSM-5, Case studies, Mental health services, Mental illness-Case studies, Mental illness-Diagnosis, Diagnosis-Data processing, Discrimination against the mentally ill, Computer interfaces, Mental illness-Classification, Diagnostic and statistical manual of mental disorders


This thesis documents the development and evaluation of an interactive web-based tool to help mental health clinicians mitigate specialization bias in their diagnostic practice. This tool was developed as part of the Computing for Mental Health Project in the Human Computation and Visualization (HCV) Lab, a multi-year collaboration with clinicians at the Justice Resource Institute’s GRIP Community Based Services program in Holyoke, Massachusetts.


2018 Ji Young Yun. Access limited to the Smith College community and other researchers while on campus. Smith College community members also may access from off-campus using a Smith College log-in. Other off-campus researchers may request a copy through Interlibrary Loan for personal use.




43 pages : color illustrations. Includes bibliographical references.