Data-driven approaches improve diagnosis by enabling more accurate and timely identification of conditions. For example, machine learning algorithms can analyze large datasets to identify patterns that may indicate the early onset of conditions like autism or ADHD. This allows for earlier interventions, which are often more effective.
