Apparatus and method for diagnosing developmental disorders

A method for diagnosing developmental disorder performed by a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors, the method comprising:

• receiving at least one of image data and voice data for an analysis target from a user terminal and performing a first developmental disorder diagnosis through one or more artificial neural networks learned to perform a developmental disorder diagnosis;
• receiving questionnaire response data from the user terminal and performing a second developmental disorder diagnosis according to a predetermined standard;
• and
• generating developmental disorder diagnosis data for the analysis target by assigning predetermined weights to each of the first developmental disorder diagnosis and the second developmental disorder diagnosis and generating the final diagnosis based on the weighted diagnoses,
• wherein the method further comprises:
• receiving training data that includes at least one of learning image data and learning voice data for one or more users using the artificial neural network and includes correct answer values for each of the learning image data and learning voice data to perform a first learning diagnosis;
• performing a second learning diagnosis according to a predetermined standard based on one or more questionnaire training data for the same person;
• and
• performing first learning of the artificial neural network by comparing the first learning diagnosis and the second learning diagnosis for the same person to determine consistency between a developmental disorder diagnosis result of the artificial neural network and a developmental disorder diagnosis result based on the questionnaire response data.