1,720,965 research outputs found
Improving the healthcare effectiveness: The possible role of EHR, IoMT and Blockchain
Full text linkNew types of patient health records aim to help physicians shift from a medical practice, often based on their personal experience, towards one of evidence based medicine, thus improving the communication among patients and care providers and increasing the availability of personal medical information. These new records, allowing patients and care providers to share medical data and clinical information, and access them whenever they need, can be considered enabling Ambient Assisted Living technologies. Furthermore, new personal disease monitoring tools support specialists in their tasks, as an example allowing acquisition, transmission and analysis of medical images. The growing interest around these new technologies poses serious questions regarding data integrity and transaction security. The huge amount of sensitive data stored in these new records surely attracts the interest of malicious hackers, therefore it is necessary to guarantee the integrity and the maximum security of servers and transactions. Blockchain technology can be an important turning point in the development of personal health records. This paper discusses some issues regarding the management and protection of health data exchanged through new medical or diagnostic devices
Open Source Learning Management Systems, a comparison experience
No full textIn CCCT 2003 International
Conference [1], on July 2003, the research
group has analysed the man-machine interaction
among three CMS nuke-based platforms widely
circulated.
One year later the same methodology, based
on the analysis of the interaction with some
determined systems from different typologies of
users, is proposed to compare three Learning
Management Systems (ATutor, Dokeos, Moodle)
applied to the content management over the web.
The goal is to locate the LMS to integrate on the
portal of the Faculty of Economy, that will be
used by aid to the traditional courses, masters
and high education learning paths
A Controlled Benchmark of Video Violence Detection Techniques
Full text linkThis benchmarking study aims to examine and discuss the current state-of-the-art techniques for in-video violence detection, and also provide benchmarking results as a reference for the future accuracy baseline of violence detection systems. In this paper, the authors review 11 techniques for in-video violence detection. They re-implement five carefully chosen state-of-the-art techniques over three dierent and publicly available violence datasets, using several classifiers, all in the same conditions. The main contribution of this work is to compare feature-based violence detection techniques and modern deep-learning techniques, such as Inception V3
Sit-to-Stand Test for Neurodegenerative Diseases Video Classification
No full textIn this extended version of this paper, an automatic video diagnosis system for dementia classification is presented. Starting from video recordings of patients and control subjects, performing sit-to-stand test, the designed system is capable of extracting relevant patterns for binary discern patients with dementia from healthy subjects. The original system achieved an accuracy 0.808 by using the rigorous inter-patient separation scheme especially suited for medical purposes. This separation scheme provides the use of some people for training and others, different, people for testing. The implementation of features from the kinematic theory of rapid human movement and its sigma-lognormal model together with classic features increased the overall accuracy of the system to 0.947 F1 score. In addition, multi-class classification was performed with the aim of classifying neurodegenerative disease severities. This work is an original and pioneering work on sit-to-stand video classification for neurodegenerative diseases, its novelties are on phases segmentation, experimental setup and the application of kinematic theory of rapid human movements to sit-to-stand videos for neurodegenerative disease assessment
Usability models on institutional portals: a case study at the university of Bari
No full textThis work illustrates the test results of 2 heuristic evaluation tests on the Web Portal projected and realized in the
Economics Faculty at the University of Bari. The heuristic-based evaluation method of web usability found itself on the
individualization of various typologies of existing errors in the interaction between system and users.
The First Test was made on the existing Web Portal with the aim to discover existing errors, the second one was
performed on the new version of Web Portal and it helped to analyze the permanence of the errors, showing, at the same
time, a drastic reduction of the usability problems and a consequent increase of the Portal’s ergonomics. The high number
of improved interventions confirms the goodness of this methodology but it underlines that the range of corrective
choices cannot enjoy some of the optimal solutions to avoid costs of reengineering
Administrative Estimation of a Blended Course in Higher Education: The Application of “e-learning Yield Index
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