Registered in Radiologic Technology by the ARRT, a current and valid license from the State of NJ DEP. New graduates with certification considered. Practical experience as a Radiographer preferred. Must obtain registry within one (1) year of employment. Must keep abreast of all imaging protocols and new imaging equipment.Ĭompletion from an accredited Radiology Technology program and registered by the ARRT, or registry eligible. Maintains facilities are in proper order. Verifies patient identification process prior to imaging, selects patient from worklist, ensures exam is archived on the PACS and completed properly in the RIS. Produces detailed images of patients for diagnostic information. Operates radiation producing equipment following specific physician orders. Potential use of language models for mental health classification tasks.Reporting to and functioning under general supervision of the Supervisor, the Imaging Technologist prepares for a variety of radiologic procedures to produce images of the body for the diagnosis of pathological conditions and traumatic disorders. The zero-shot classification accuracy obtained with ChatGPT indicates a A baseline model thatĪlways predicted the dominant class resulted in F1 scores of 0.35, 0.60, andĠ.19. Obtained F1 scores of 0.73, 0.86, and 0.37 for stress detection, depressionĭetection, and suicidality detection, respectively. Then ChatGPT APIĬlassified the social media posts with an input prompt for classification. We obtained annotated social media postsįor the three classification tasks from public datasets. Text-based mental health classification tasks: stress detection (2-classĬlassification), depression detection (2-class classification), and suicidalityĭetection (5-class classification).
Performance of LLM-based ChatGPT (with gpt-3.5-turbo backend) in three (NLP)-based mental health application research. Understanding tasks and could be relevant for natural language processing Download a PDF of the paper titled Evaluation of ChatGPT for NLP-based Mental Health Applications, by Bishal Lamichhane Download PDF Abstract: Large language models (LLM) have been successful in several natural language
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