Anas Samara
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View article: Pharmacogenetics Education for Pharmacy Students: Measuring Knowledge and Attitude Changes
Pharmacogenetics Education for Pharmacy Students: Measuring Knowledge and Attitude Changes Open
The PGx educational intervention improved students' PGx knowledge and attitudes. The study underscores the need to integrate PGx into pharmacy courses to educate students about personalized medicine in clinical practice.
View article: Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach
Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach Open
Community-acquired pneumonia (CAP) is associated with high mortality, and accurate diagnosis and risk prediction are essential for improving patient outcomes. Traditional diagnostic methods have limitations, prompting the use of machine le…
View article: Pharmaceutical care and telemedicine during COVID-19: A cross-sectional study based on pharmacy students, pharmacists, and physicians in Jordan
Pharmaceutical care and telemedicine during COVID-19: A cross-sectional study based on pharmacy students, pharmacists, and physicians in Jordan Open
Lack of access to the patient medical record (90.6%) was the major barrier for the integration of pharmaceutical care into practice. The majority of participants (93.0%) encouraged creating a website that provides pharmaceutical care. Furt…
View article: Random Walk Generation and Classification Within an Online Learning Platform
Random Walk Generation and Classification Within an Online Learning Platform Open
Advancements in technology have introduced new approaches in teaching and learning processes. Machine learning algorithms analyse and recognize patterns of data and subsequently become able to make reasonable decisions. In playing complex …
View article: Adaptive User Experience Based on Detecting User Perplexity
Adaptive User Experience Based on Detecting User Perplexity Open
As humans, our abilities and performance while carrying out different tasks differ due to several factors, such as health conditions, mental processing capabilities, emotional feelings, task difficulty and the desire to achieve it. Additio…
View article: Affective state detection via facial expression analysis within a human–computer interaction context
Affective state detection via facial expression analysis within a human–computer interaction context Open
The advancement in technology indicates that there is an opportunity to enhance human–computer interaction by way of affective state recognition. Affective state recognition is typically based on passive stimuli such as watching video clip…
View article: HCIViewer - A Tool for Human-Computer Interaction Practitioners
HCIViewer - A Tool for Human-Computer Interaction Practitioners Open
This paper presents a tool that has been designed to provide user insight that might be beneficial for researchers working in Human-Computer Interaction disciplines, as well as user experience designers and usability testing practitioners.…
View article: Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data
Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data Open
The ubiquitous computing paradigm is becoming a reality; we are reaching a level of automation and computing in which people and devices interact seamlessly. However, one of the main challenges is the difficulty users have in interacting w…
View article: Automatic Affect State Detection using Fiducial Points for Facial Expression Analysis
Automatic Affect State Detection using Fiducial Points for Facial Expression Analysis Open
Current advancements in digital technology indicate that there is an opportunity to enhance computers with automated intelligence in order to understand human feelings and emotions that may be relevant to systems performance. Furthermore, …