Faculty / Staff Resources Student Resources
University of Southern California
University of Southern California
USC Chan Division of Occupational Science and Occupational Therapy
USC Chan Division of Occupational Science and Occupational Therapy
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Research
Research

Characterizing gastrointestinal disorder trajectories for autistic sub-groups: Machine learning prediction of risk profiles and response to treatment

SIEFL Core ⟩ DREAmS Lab ⟩

Principal Investigator: Amber Angell PhD, OTR/L

Co-Investigators: Mayank Kejriwal (Viterbi), Sze-chuan Suen (Viterbi), Larry Yin (CHLA), Sriakr Chamala (CHLA), Jaya Punati (CHLA), Sonia Trejo (CHLA/Chan)

Consultants: Jiang Bian (UF), Yi Guo (UF), Julie Miller (Pasadena Child Development Associates), Gloria Williamson (Your Life Nutrition), Daniella Florindez (DC Florindez Consulting)

Period
Aug 2024 – Apr 2029

Total funding
$2,951,222

Gastrointestinal (GI) problems are among the most common concern reported by families of autistic children and youth, but efforts to understand the nuances of GI symptoms are stymied by a lack of longitudinal research using real-world clinical datasets. We will use a multimethod, participatory approach to: (1) qualitatively describe autistic people’s GI experiences throughout the lifespan; (2) quantitatively characterize GI symptom rates, presentations, trajectories, and responses to treatment among autistic children/youth using electronic health records (EHRs) from Children’s Hospital Los Angeles (CHLA) (with both structured data, e.g., diagnosis codes and prescriptions; and unstructured data, i.e., keywords extracted from clinical notes via natural language processing); and (3) build predictive models of risk of GI symptom profiles and response to treatment using both traditional and machine learning approaches. By using longitudinal analyses and real-world clinical data, the proposed study provides a more nuanced prediction of GI symptom profiles and response to treatment, and holds promise for informing future targeted interventions to improve care for autistic individuals.

Funding

Type Source Number Amount
Federal NIH / Eunice Kennedy Shriver National Institute of Child Health & Human Development R01HD115661 $2,951,222