<< Click to Display Table of Contents >> Navigation:  »No topics above this level« Diagnoses Checker

The Diagnoses Checker is a machine learning mental health symptom analysis AI diagnostician. The program evaluates symptoms against disorders to provide the most likely mental health diagnoses. Simply describe symptoms and let the program process the information. Accessing our database of over 800 conditions, the program evaluates symptoms against disorders to provide the most likely diagnoses. The checker offers two search modules - AI machine learning semantic vectors matrix (default) and strict keyword matching.

 

In the Add field, outline the symptoms with a series of keywords, descriptive sentences, or a case summary. For the best results, use as many descriptive keywords as relevant to the clinical condition. You will get better accuracy with keywords and expressions commonly used in professional mental health jargon. Currently, the checker functions only in English. Should the keywords used not make sense for the program, the proposed results will be random.

 

IMPORTANT: The checker is an in-training experimental machine learning AI instrument. As such, it does not substitute for a professional clinical evaluation. The program results are intended for informational and educational purposes and do not constitute any type of diagnosis or healthcare recommendation.

 

 

The Diagnosis Checker’s results page presents the 15 best matched diagnoses based on the symptoms you described.

 

 

You can open the disorder diagnostic criteria by clicking the diagnosis name.

 

* The checker is an in-training experimental machine learning instrument using your entries to calibrate. You can help train the program by eliminating (X) diagnoses that aren’t relevant.