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Informatics, Volume 11, Issue 2

June 2024 - 29 articles

Cover Story: The increasing interest in MS profiling for arthropod identification has led to the creation of guidelines for sample preparation and assessing MS spectra quality, an element which is currently lacking. In the present work, a bioinformatics tool, MSProfileR, was created that integrates a control quality system for detecting and excluding outlier MS profiles and optimises the process of MS spectra analysis, including the addition of spectra metadata. It was developed in an R environment and offers a user-friendly web interface using the R Shiny framework. Its application to two arthropod spectra datasets in our study highlights its superiority to manual classification. MSProfileR is an open-source software that can be used by the scientific community, particularly entomologists, without any need for programming expertise. View this paper
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Articles (29)

  • Review
  • Open Access
2,902 Views
12 Pages

This scoping review explores the potential of electronic health records (EHR)-based studies to characterize long COVID. We screened all peer-reviewed publications in the English language from PubMed/MEDLINE, Scopus, and Web of Science databases until...

  • Article
  • Open Access
1 Citations
2,781 Views
17 Pages

Analysis of the Epidemic Curve of the Waves of COVID-19 Using Integration of Functions and Neural Networks in Peru

  • Oliver Amadeo Vilca Huayta,
  • Adolfo Carlos Jimenez Chura,
  • Carlos Boris Sosa Maydana and
  • Alioska Jessica Martínez García

The coronavirus (COVID-19) pandemic continues to claim victims. According to the World Health Organization, in the 28 days leading up to 25 February 2024 alone, the number of deaths from COVID-19 was 7141. In this work, we aimed to model the waves of...

  • Article
  • Open Access
1 Citations
3,182 Views
25 Pages

MSProfileR: An Open-Source Software for Quality Control of Matrix-Assisted Laser Desorption Ionization–Time of Flight Spectra

  • Refka Ben Hamouda,
  • Bertrand Estellon,
  • Khalil Himet,
  • Aimen Cherif,
  • Hugo Marthinet,
  • Jean-Marie Loreau,
  • Gaëtan Texier,
  • Samuel Granjeaud and
  • Lionel Almeras

In the early 2000s, matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) emerged as a performant and relevant tool for identifying micro-organisms. Since then, it has become practically essential for ident...

  • Article
  • Open Access
6 Citations
4,147 Views
32 Pages

Chatbot Technology Use and Acceptance Using Educational Personas

  • Fatima Ali Amer jid Almahri,
  • David Bell and
  • Zameer Gulzar

Chatbots are computer programs that mimic human conversation using text or voice or both. Users’ acceptance of chatbots is highly influenced by their persona. Users develop a sense of familiarity with chatbots as they use them, so they become m...

  • Article
  • Open Access
23 Citations
16,579 Views
14 Pages

Analysing the Impact of Generative AI in Arts Education: A Cross-Disciplinary Perspective of Educators and Students in Higher Education

  • Sara Sáez-Velasco,
  • Mario Alaguero-Rodríguez,
  • Vanesa Delgado-Benito and
  • Sonia Rodríguez-Cano

Generative AI refers specifically to a class of Artificial Intelligence models that use existing data to create new content that reflects the underlying patterns of real-world data. This contribution presents a study that aims to show what the curren...

  • Communication
  • Open Access
2 Citations
2,613 Views
15 Pages

Loopholes involve misalignments between rules about what should be done and what is actually done in practice. The focus of this paper is loopholes in interactions between human organizations’ implementations of task-specific artificial intelli...

  • Article
  • Open Access
2 Citations
4,037 Views
24 Pages

In this study, we propose an approach to address the pressing issue of false negative errors by enhancing minority class recall within imbalanced data sets commonly encountered in machine learning applications. Through the utilization of a cluster-ba...

  • Article
  • Open Access
2 Citations
2,815 Views
18 Pages

An Intelligent Model and Methodology for Predicting Length of Stay and Survival in a Critical Care Hospital Unit

  • Enrique Maldonado Belmonte,
  • Salvador Oton-Tortosa,
  • Jose-Maria Gutierrez-Martinez and
  • Ana Castillo-Martinez

This paper describes the design and methodology for the development and validation of an intelligent model in the healthcare domain. The generated model relies on artificial intelligence techniques, aiming to predict the length of stay and survival r...

  • Article
  • Open Access
5 Citations
3,978 Views
25 Pages

QUMA: Quantum Unified Medical Architecture Using Blockchain

  • Akoramurthy Balasubramaniam and
  • B. Surendiran

A significant increase in the demand for quality healthcare has resulted from people becoming more aware of health issues. With blockchain, healthcare providers may safely share patient information electronically, which is especially important given...

  • Article
  • Open Access
23 Citations
4,931 Views
13 Pages

Performance Evaluation of Deep Learning Models for Classifying Cybersecurity Attacks in IoT Networks

  • Fray L. Becerra-Suarez,
  • Victor A. Tuesta-Monteza,
  • Heber I. Mejia-Cabrera and
  • Juan Arcila-Diaz

The Internet of Things (IoT) presents great potential in various fields such as home automation, healthcare, and industry, among others, but its infrastructure, the use of open source code, and lack of software updates make it vulnerable to cyberatta...

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Informatics - ISSN 2227-9709