LLM Assistance for Pediatric Depression

no code implementations • 29 Jan 2025 • Mariia Ignashina, Paulina Bondaronek, Dan Santel, John Pestian, Julia Ive

Traditional depression screening methods, such as the PHQ-9, are particularly challenging for children in pediatric primary care due to practical limitations.

Diagnostic

A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection

no code implementations • 30 Dec 2024 • Julia Ive, Paulina Bondaronek, Vishal Yadav, Daniel Santel, Tracy Glauser, Tina Cheng, Jeffrey R. Strawn, Greeshma Agasthya, Jordan Tschida, Sanghyun Choo, Mayanka Chandrashekar, Anuj J. Kapadia, John Pestian

This study aims to detect and mitigate linguistic differences related to non-biological differences in the training data of AI models designed to assist in pediatric mental health screening.

Anxiety Detection Diagnostic

An Information Foraging Approach to Determining the Number of Relevant Features

no code implementations • WS 2016 • Brian Connolly, Benjamin Glass, John Pestian

Earlier Identification of Epilepsy Surgery Candidates Using Natural Language Processing

no code implementations • WS 2013 • Pawel Matykiewicz, Kevin Cohen, Katherine D. Holland, Tracy A. Glauser, Shannon M. Standridge, Karen M. Verspoor, John Pestian

POS

Effect of small sample size on text categorization with support vector machines

no code implementations • WS 2012 • Pawel Matykiewicz, John Pestian

Text Categorization