Timely recognition of autism in children is integral to improve developmental outcomes. This study used mixed-methods (84 case-registers and 20 in-depth interviews with caregivers of children with a diagnosis of autism) to explore the extent to which the nature of parental concerns and prior knowledge of developmental disorders impact the time…

Autism Spectrum Disorder (ASD) is a highly heterogeneous set of neurodevelopmental disorders with the global prevalence estimates of 2.20%, according to DSM5 criteria. With the advancements of technology and availability of huge amount of data, assistive tools for diagnosis of ASD are being developed using machine learning techniques. The present…

Using a multistage sampling technique, the students completed the self-constructed Identification Battery on Comorbid Conditions (IBCC), which assesses 10 disorders, including dyslexia, dysgraphia, dyscalculia, dysphasia, dyspraxia, anxiety, attention deficit hyperactive disorder (ADHD), obsessive-compulsive disorder (OCD), autism, and tic…

Intellectual disability (ID) is a neurodevelopmental disorder characterized by cognitive delays. Inborn errors of metabolism constitute an important subgroup of ID for which various treatments options are available. We aimed to identify potential biomarkers of inherited metabolic disorders from the children with ID using tandem mass spectrometry…

This study is aimed at the implementation of a continuous assessment model in physiology for a large-enrollment classroom with 250 students. The readiness assurance process (RAP) and immediate feedback elements from team-based learning (TBL) methodology were adopted to test their ability to guide students to solve applications exercises…

Limited access to screening and evaluation for autism spectrum disorder in children is a major barrier to improving outcomes for marginalized families. To identify and evaluate available digital autism spectrum disorder screening resources, we simulated web and mobile app searches by a parent concerned about their child's likelihood of autism…

The objectives of the study on which this paper is based, were to develop an IT [Information Technology] based expert system on dairy cattle diseases for Continuing Veterinary Education (CVE) of veterinarians and to assess its effectiveness. The veterinarians working in three districts under the Animal Husbandry Department, Kerala were the…

This paper illustrates the cloud-based telemonitoring framework that implements healthcare automation system for myocardial infarction (MI) disease classification. For this purpose, the pathological feature of ECG signal such as elevated ST segment, inverted T wave, and pathological Q wave are extracted, and MI disease is detected by the…

This review contributes to the growing body of global autism spectrum disorder literature by examining the use of screening instruments in low- and middle-income countries with respect to study design and methodology, instrument adaptation and performance, and collaboration with community stakeholders in research. A systematic review was conducted…