Abstract: The present disclosure provides systems, methods, and computer program products for assessing the reliability of health survey results. An example can comprise: (a) determining that each of a predetermined pair of events are present in response data generated by a subject in response to prompts presented to the subject in administration of a health survey, wherein the pair of events includes a conditioning event and a conditioned event; (b) determining a probability that the conditioned event is present in the response data given the presence of the conditioning event in the response data; (c) repeating steps (a) and (b) for each of two or more predetermined pair of events; and (d) combining the probabilities to form a confidence vector data that represents a measure of confidence in the reliability of the subject in generating the response data.

Abstract: A behavioral health survey confidence annotation machine determines a degree of confidence in the reliability of a survey taker's responses given in a behavioral health survey. The degree of confidence reflects consistencies in the survey results themselves and data about the survey taker. The degree of confidence can also reflect consistency between results of multiple instances of the survey taken contemporaneously, i.e., within a single session with the survey taker. Culling of health survey results produces a corpus of health survey result data more greater confidence in the reliability of its results. Survey takers whose health survey results are consistently unreliable can be identified.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.