Table 1 All variables included in machine learning analysis.

From: Predictive modeling of adaptive behavior trajectories in autism: insights from a clinical cohort study

Time of Data Collection

Domain

Variable

Intake Prior to Patient Initial Visit

Sociodemographic

Gender

Age at first Assessment

Family Socioeconomic Status (SES)

Historical

Prenatal Stress

Prenatal/ Post-Partum Depression

Pregnancy Problems

Premature Labor

Baby Temperament

Maternal Age at Birth

Paternal Age at Birth

Developmental Regression

Clinical Phenotyping

Sleep Problems

Attention Deficit Hyperactivity (ADHD) Symptoms

Autism Symptoms

Sensory Processing Disorder Symptoms

General Development Concerns

Motor Development Concerns

Sensory Over-Reactivity Concerns

Communication-Language Concerns

Impulsivity Concerns

Attention Concerns

Repetitive Behavior Concerns

Mood Concerns

Feeding Concerns

Over the Course of Care

Therapeutic Dosage

Cumulative Applied Behavioral Analysis (ABA) Hours

Cumulative Developmental Therapy (DT) Hours

  1. Variables listed were included as candidate predictors in the machine learning analyses. The table categorizes each variable by the time of data collection (either at intake or over the course of care), domain, and specific variable name.
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