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Informatics, Volume 10, Issue 4

December 2023 - 15 articles

Cover Story:

The Health and Aging Brain Study–Health Disparities (HABS–HD) aims to understand factors impacting brain aging in diverse communities. A critical challenge is missing data, hindering accurate machine learning (ML). Common imputation methods may lead to biased outcomes. Thus, developing a new imputation methodology has become an urgent task for HABS–HD.

We devised a three-step workflow: 1) evaluating missing data; 2) ML-based multiple imputation; and 3) imputation evaluation. Embedded is ML-based multiple imputation (MLMI).

The MLMI excelled, demonstrating superior prediction and maintaining distribution and correlation. This workflow is effective for HABS–HD, robustly handling missing values, especially in Alzheimer's disease models, and is applicable to other disease data analyses. View this paper

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Articles (15)

  • Article
  • Open Access
5 Citations
5,289 Views
15 Pages

EndoNet: A Model for the Automatic Calculation of H-Score on Histological Slides

  • Egor Ushakov,
  • Anton Naumov,
  • Vladislav Fomberg,
  • Polina Vishnyakova,
  • Aleksandra Asaturova,
  • Alina Badlaeva,
  • Anna Tregubova,
  • Evgeny Karpulevich,
  • Gennady Sukhikh and
  • Timur Fatkhudinov

H-score is a semi-quantitative method used to assess the presence and distribution of proteins in tissue samples by combining the intensity of staining and the percentage of stained nuclei. It is widely used but time-consuming and can be limited in t...

  • Article
  • Open Access
3 Citations
3,129 Views
20 Pages

Knowledge-Based Intelligent Text Simplification for Biological Relation Extraction

  • Jaskaran Gill,
  • Madhu Chetty,
  • Suryani Lim and
  • Jennifer Hallinan

Relation extraction from biological publications plays a pivotal role in accelerating scientific discovery and advancing medical research. While vast amounts of this knowledge is stored within the published literature, extracting it manually from thi...

  • Article
  • Open Access
1 Citations
2,855 Views
18 Pages

The identification and analysis of sentiment polarity in microblog data has drawn increased attention. Researchers and practitioners attempt to extract knowledge by evaluating public sentiment in response to global events. This study aimed to evaluat...

  • Article
  • Open Access
28 Citations
10,026 Views
14 Pages

ChatGPT is widely used among students, a situation that challenges educators. The current paper presents two strategies that do not push educators into a defensive role but can empower them. Firstly, we show, based on statistical analysis, that ChatG...

  • Article
  • Open Access
3 Citations
3,652 Views
17 Pages

Automated Detection of Persuasive Content in Electronic News

  • Brian Rizqi Paradisiaca Darnoto,
  • Daniel Siahaan and
  • Diana Purwitasari

Persuasive content in online news contains elements that aim to persuade its readers and may not necessarily include factual information. Since a news article only has some sentences that indicate persuasiveness, it would be quite challenging to diff...

  • Article
  • Open Access
11 Citations
4,262 Views
14 Pages

This study delves into the determinants influencing individuals’ intentions to adopt telemedicine apps during the COVID-19 pandemic. The study aims to offer a comprehensive framework for understanding behavioral intentions by leveraging the Tec...

  • Article
  • Open Access
6 Citations
4,317 Views
24 Pages

Crowdsourcing has gradually become an effective e-government process to gather citizen complaints over the implementation of various public services. In practice, the collected complaints form a massive dataset, making it difficult for government off...

  • Article
  • Open Access
5 Citations
2,723 Views
25 Pages

Federated Secure Computing

  • Hendrik Ballhausen and
  • Ludwig Christian Hinske

Privacy-preserving computation (PPC) enables encrypted computation of private data. While advantageous in theory, the complex technology has steep barriers to entry in practice. Here, we derive design goals and principles for a middleware that encaps...

  • Article
  • Open Access
8 Citations
7,263 Views
21 Pages

Artificial Intelligence: A Blessing or a Threat for Language Service Providers in Portugal

  • Célia Tavares,
  • Luciana Oliveira,
  • Pedro Duarte and
  • Manuel Moreira da Silva

According to a recent study by OpenAI, Open Research, and the University of Pennsylvania, large language models (LLMs) based on artificial intelligence (AI), such as generative pretrained transformers (GPTs), may have potential implications for the j...

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Informatics - ISSN 2227-9709Creative Common CC BY license