Enhancing diagnosis of disorder through artificial intelligence and mobile health technologies without compromising accuracy

Abstract

A computer system for generating a diagnostic tool by applying artificial intelligence to an instrument for diagnosis of a disorder, such as autism. For autism, the instrument can be a caregiver-directed set of questions designed for an autism classification tool or an observation of the subject in a video, video conference, or in person and associated set of questions about behavior that are designed for use in a separate autism classification tool. The computer system can have one or more processors and memory to store one or more computer programs having instructions for generating a highly statistically accurate set of diagnostic items selected from the instrument, which are tested against a first test using a technique using artificial intelligence and a second test against an independent source. Also, a computer implemented method and a non-transitory computer-readable storage medium are disclosed.

1 . A computer-implemented method for evaluating and treating a subject for a behavioral disorder, a developmental delay, or a neurological impairment, said method comprising:
 (a) receiving an input;   (b) providing the input to a classifier that is trained with data from a plurality of individuals having the behavioral disorder, the developmental delay, or the neurological impairment and that is configured to evaluate the subject with respect to the behavioral disorder, the developmental delay, or the neurological impairment based on the input;   (c) determining an evaluation result with the classifier; and   (d) treating the subject for the behavioral disorder, the developmental delay, or the neurological impairment based on the evaluation result.   
     
     
         2 . The method of  claim 1 , wherein the treatment is based on a severity of the behavioral disorder, the developmental delay, or the neurological impairment. 
     
     
         3 . The method of  claim 1 , wherein the treatment comprises at least one of applied behavioral analysis (ABA) or a speech therapy. 
     
     
         4 . The method of  claim 1 , wherein the treatment is provided by the computer. 
     
     
         5 . The method of  claim 1 , further comprising determining a treatment plan for treating the subject based on the evaluation result. 
     
     
         6 . The method of  claim 1 , further comprising scoring the subject based on the evaluation result, wherein said score is indicative of a likelihood of a presence or an absence of the behavioral disorder, the developmental delay, or the neurological impairment in said subject. 
     
     
         7 . The method of  claim 6 , wherein the final score comprises a magnitude, and wherein the magnitude of the final score is indicative of one or more of a severity of the behavioral disorder, the developmental delay, or the neurological impairment or a confidence in the evaluation result. 
     
     
         8 . The method of  claim 1 , further comprising transforming the input into discrete numerical vectors, and wherein the discrete numerical vectors are provided to the classifier to determine the evaluation result. 
     
     
         9 . The method of  claim 1 , wherein the input is obtained using a mobile computing device. 
     
     
         10 . The method of  claim 9 , wherein the mobile computing device is a smart device. 
     
     
         11 . The method of  claim 10 , wherein the smart device is a smart phone or a tablet. 
     
     
         12 . The method of  claim 1 , wherein the input comprises a video of the subject. 
     
     
         13 . The method of  claim 1 , wherein the classifier is generated using a machine learning technique selected from the group consisting of ADTree, BFTree, DecisionStump, FT, J48, J48graft, Jrip, LADTree, LMT, Nnge, OneR, PART, RandomTree, REPTree, Ridor and SimpleCart. 
     
     
         14 . The method of  claim 1 , wherein the classifier is configured to evaluate a statistically accurate set of items as the input to allow efficient evaluation. 
     
     
         15 . The method of  claim 1 , wherein the evaluation result is based on the Autism Diagnostic Instrument-Revised or the Autism Diagnostic Observation Schedule. 
     
     
         16 . The method of  claim 1 , wherein the behavioral disorder, the developmental delay, or the neurological impairment comprises ADHD, autism, or autism spectrum disorder. 
     
     
         17 . A system for evaluating and treating a subject for a behavioral disorder, a developmental delay, or a neurological impairment, said computer system comprising:
 a processor; and   a classifier that is trained with data from a plurality of individuals having the behavioral disorder, the developmental delay, or the neurological impairment and is configured to evaluate the subject with respect to the behavioral disorder, the developmental delay, or the neurological impairment;   a non-transitory computer readable medium that stores instructions that when executed by the processor causes the processor to:
 receive an input related to the behavioral disorder, the developmental delay, or the neurological impairment; 
 provide the input to the classifier; 
 receive an evaluation result from the classifier related to the behavioral disorder, the developmental delay, or the neurological impairment; and 
 provide a treatment to the subject for the behavioral disorder, the developmental delay, or the neurological impairment based on the evaluation result. 
   
     
     
         18 . The system of  claim 17 , wherein the behavioral disorder, the developmental delay, or the neurological impairment comprises ADHD, autism, or autism spectrum disorder. 
     
     
         19 . The system of  claim 17 , wherein the treatment comprises at least one of applied behavioral analysis (ABA) or a speech therapy. 
     
     
         20 . The system of  claim 17 , wherein the treatment comprises a treatment plan for treating the subject based on the evaluation result.