Keynote for Fast Publishing by Writing Technical Note

Writing-up of technical information is consuming time and efforts, however the exponential grow of innovations and finding should be relevantly shared by publications. Technical note (also known as innovation or technical development in some journals) is among short scientific article published by medical journals and sometime engineering journals. It is produced for describing a new technic, procedure, or development relevant for medical system. Sometimes, technical note describes the modification of an existing technics. This article presents a simple guide on writing Technical Notes and includes basic arguments as definition, appellations, and structure.&nbsp

Medical Technologies Journal: Re-launching the publication

Welcome to the fifth volume of the international peer reviewed journal: Medical Technologies Journal. We are proud to announce, in this editorial, the re-launching of publication on the journal. The journal receives all medical domains: trials and, synthesis; findings and innovations.  After a period of silence due to several technical problems principally the COVID19 crises, we publish, for our community, this issue. It contains four scientific articles one review in ophthalmology and three in medical technologies

Report on the Second International Conference on Health Sciences and Medical Technologies

ICHSMT'17: the second edition of International Conference on Health Sciences and Medical Technologies 2017 held from 10 to 12 October 2017 at Tlemcen, Algeria. With the cooperation of Knowledge Kingdom Publishing and Mehr Publishing Group the conference was established at Renaissance hotel. Regrouping contributors from fifteen countries, an interdisciplinary program was established aiming to contribute the scientific progress on health sciences and medical technologies

Welcome to Medical Technologies Journal

Welcome to Medical Technologies Journal MTJ. MTJ is an international peer-reviewed journal and an interdisciplinary one focusing on relevant innovations on medical technologies and findings relative to medicine. This editorial presents the global initiative of the journal in a nutshell. It is also dedicated to welcoming contributions to the journal and for introducing the first issue

Highlighting the achievements of the fourth International Congress on Health Sciences and Medical Technologies

This is an editorial reporting the fourth International Congress on Health Sciences and Medical Technologies ICHSMT. After the success of three versions of the international congress ICHSMT, The fourth congress was established from 5 to 7 December 2019 at Tlemcen, Algeria. With the cooperation of University of Tlemcen, Knowledge Kingdom Publishing and other partners, the congress attracted an important number of researchers from several domains and affiliations. Aiming to contributing the scientific progress and the promotion of the community of health sciences and medical technologies. The congress was established virtually and in-person which challenged the political and technical problems.&nbsp

Report on the International Congress on Health Sciences and Medical Technologies

The International Congress on Health Sciences and Medical Technologies is a periodical congress. It held three times regrouping several researchers and organization active in technology and medical research. With the contribution of universities, research centers, companies and publishers the congress was established at Algerian cities (Tlemcen, Algiers). This report describes the congress achievement through these three past years and announces its’ new edition

Contextual hybrid-based recommendation of Pubmed articles

Background: The amount of information in the medical field has been growing day by day. Also new medical articles about the preoccupied disease are published each day and the updated information is very required by physicians. The appropriate information in the appropriate moment is the goal of this research work. Methods: Our goal is to recommend documents deemed relevant to doctors regarding the context of using a management application for electronic medical records. The principle is to extract the context of this usage: illness, Age ..., searching in the contents of documents and taking into account the rate of vote documents. For experiment and evaluation, we have used 100 articles randomly selected from pubmed about cardiology. In addition, we have developed a system that extracts the context of medical record system at the moment of exploration. The extracted context is used with users rating by the recommender system to select and rank the recommended articles for physicians in the same moment of use. Results: The first result of this research work is the smart interaction between users and the software system by introducing the context of use. In addition, another important result is the reuse of user’s appreciation for more dynamicity and intelligibility. Conclusion: The developed system offers the physician an appropriate recommendation of selected pubmed articles. The developed system augments the relevancy of the recommendation by analyzing the contents of articles and introducing a collaborative method

Explainer: An interactive Agent for Explaining the Diagnosis of Cardiac Arrhythmia Generated by IK-DCBRC

Interactions between medical applications and users involve a high level of trust, since many complex, automated applications are integrated and involve critical domains in which public health is paramount. Although uncertainty decreases the accuracy and trust of such medical applications under these circumstances, explanation-aware computing becomes crucial in improving the efficiency of these applications. This paper describes an intelligent agent that interacts with users to provide meaningful explanations of previous diagnoses supported by IK-DCBRC. The agent ensures intelligent interactions with users via a rule-based system that generates appropriate explanations according to the selected level of abstraction and the detected cardiac arrhythmia. The paper also describes a particular medical application, that is, cardiac arrhythmia with automatic diagnoses supported by the case-based reasoning classifier, IK-DCBRC

A Compact Sift-Based Strategy for Visual Information Retrieval in Large Image Databases

This paper applies the Standard Scale Invariant Feature Transform (S-SIFT) algorithm to accomplish the image descriptors of an eye region for a set of human eyes images from the UBIRIS database despite photometric transformations. The core assumption is that textured regions are locally planar and stationary. A descriptor with this type of invariance is sufficient to discern and describe a textured area regardless of the viewpoint and lighting in a perspective image, and it permits the identification of similar types of texture in a figure, such as an iris texture on an eye. It also enables to establish the correspondence between texture regions from distinct images acquired from different viewpoints (as, for example, two views of the front of a house), scales and/or subjected to linear transformations such as translation. Experiments have confirmed that the S-SIFT algorithm is a potent tool for a variety of problems in image identification