All Outputs (4)

The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system. (2016)
Journal Article
FERNANDEZ-ALEMAN, J.L., LOPEZ-GONZALEZ, L., GONZALEZ-SEQUEROS, O., JAYNE, C., LOPEZ-JIMENEZ, J.J. and TOVAL, A. 2016. The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system. International journal of medical informatics [online], 94, pages 172-181. Available from: https://doi.org/10.1016/j.ijmedinf.2016.07.008.

Objective This paper presents an empirical study of a formative mobile-based assessment approach that can be used to provide students with intelligent diagnostic feedback to test its educational effectiveness. Method An audience response system calle... Read More about The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system..

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. (2016)
Journal Article
RAHIM, S.S., PALADE, V., SHUTTLEWORTH, J. and JAYNE, C. 2016. Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain informatics [online], 3(4), pages 249-267. Available from: https://doi.org/10.1007/s40708-016-0045-3

Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases is necessary in order to ident... Read More about Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing..

Comparative analysis of relevance feedback methods based on two user studies. (2016)
Journal Article
AKUMA, S., IQBAL, R., JAYNE, C. and DOCTOR, F. 2016. Comparative analysis of relevance feedback methods based on two user studies. Computers in human behavior [online], 60, pages 138-146. Available from: https://doi.org/10.1016/j.chb.2016.02.064

Rigorous analysis of user interest in web documents is essential for the development of recommender systems. This paper investigates the relationship between the implicit parameters and user explicit rating during their search and reading tasks. The... Read More about Comparative analysis of relevance feedback methods based on two user studies..

An empirical study of neural network-based audience response technology in a human anatomy course for pharmacy students. (2016)
Journal Article
FERNANDEZ-ALEMAN, J.L., LOPEZ-GONZALEZ, L., GONZALEZ-SEQUEROS, O., JAYNE, C., LOPEZ-JIMENEZ, J.J., CARRILLO-DE-GEA, J.M. and TOVAL, A. 2016. An empirical study of neural network-based audience response technology in a human anatomy course for pharmacy students. Journal of medical systems [online], 40(4), article number 85. Available from: https://doi.org/10.1007/s10916-016-0440-6

This paper presents an empirical study of a formative neural network-based assessment approach, by using mobile technology to provide pharmacy students with intelligent diagnostic feedback. An unsupervised learning algorithm was integrated with an au... Read More about An empirical study of neural network-based audience response technology in a human anatomy course for pharmacy students..