This article shows the development of techniques for deception detection has reached a stage of extreme complexity as the information sought must be extracted from the brain of suspects, instead of... Show More

This article shows the development of techniques for deception detection has reached a stage of extreme complexity as the information sought must be extracted from the brain of suspects, instead of making inferences about it from the emotional effects produced during the traditional lie detection tests. This includes the presentation of concealed information and oral or behavioral responses by the individual are necessary requirements for use of these techniques. The new technique described here extracts information directly from memory, without having the individual respond to the statements - probes presented. It measures the components of electrical oscillations generated during remembrance of autobiographical episodes, which can occur only when one has acquired the experiences through participation in the said activities.

The digital world and technology have remained a very fascinating precinct in human life. This paper contains empirical evidence on the acceptance and efficacy of computer and internet-based... Show More

The digital world and technology have remained a very fascinating precinct in human life. This paper contains empirical evidence on the acceptance and efficacy of computer and internet-based interventions for mental disorders has increased. Despite growing evidence of effectiveness of digital interventions, it is still unclear how the practice of interventions should be measured, how this is associated with benefits, and how much interventions should be used in order to get health benefits. Guided computer-based interventions combined with face to face therapeutic sessions give a very prolific result in a long run. More empirical and research-based support is required to compare the benefits and drawbacks between computer-based and face-to-face assessment and therapeutic interventions. This article focuses on the various aspects of computer-based intervention and how these upcoming digital interventions are subject to the efficacy of traditional face-to-face therapeutic approaches.

Tablet-based cognitive screening batteries are becoming popular in the West due to the ease of administration on patients and healthy controls, collection of data from large samples, and scoring and... Show More

Tablet-based cognitive screening batteries are becoming popular in the West due to the ease of administration on patients and healthy controls, collection of data from large samples, and scoring and reporting of test performances. These tests have garnered positive reception from clinical professionals, researchers, and patients. The article seeks to assess the feasibility of introducing tablet-based screening tests for the Indian population. Potential advantages and concerns on the use of smart technologies for testing are addressed in the light of past and current research.

The successful application of semantic web in medical informatics and the fast expanding of biomedical knowledge have prompted to the requirement for a standardized representation of knowledge and... Show More

The successful application of semantic web in medical informatics and the fast expanding of biomedical knowledge have prompted to the requirement for a standardized representation of knowledge and an efficient algorithm for querying this extensive information. Spreading activation algorithm is suitable to work on incomplete and large datasets. This article presents a method called SAOO (Spreading Activation over Ontology) which identifies the relatedness between two human diseases by applying spreading activation algorithm based on bidirectional search technique over large disease ontology. The proposed methodology is divided into two phases: Semantic matching and Disease relatedness detection. In Semantic Matching, semantically identify diseases in user's query in the ontology. In the Disease Relatedness Detection, URIs of the diseases are passed to the relatedness detector which returns the set of diseases that may connect them. The proposed method improves the non-semantic medical systems by considering semantic domain knowledge to infer diseases relatedness.