Data Visualization of Symptoms Among Three Mental Illnesses in Educational and Psychological Records

• In Event: AERA Graduate Student Research in Progress Roundtable Session Three
  In Roundtable Session: Student and Practitioner Perspectives on Mental Health, Support, and Well-Being in Educational Contexts (Table 17)

Abstract

In the current paper, basic tools of natural language processing (NLP) in text mining are used to preprocess unexplored and unstructured text data of educational and psychological records in IAs and IEPs. A variety of symptoms associated with different types of mental disorders including ADHD, schizophrenia, and depression that identified via the 5th edition of Diagnostic and Statistical Manual (DSM-V) disorders are investigated and visualized using Tableau.

Author

• Mingying Zheng, University of Iowa
  Presenting Author