The impact of artificial intelligence in the odyssey of rare diseases
Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …
Exploring the major trends and emerging themes of artificial intelligence in the scientific leading journals amidst the COVID-19 era
Artificial intelligence (AI) has recently become the focus of academia and practitioners,
reflecting the substantial evolution of scientific production in this area, particularly during the …
reflecting the substantial evolution of scientific production in this area, particularly during the …
Influence of knowledge area on the use of digital tools during the COVID-19 pandemic among Latin American professors
Á Antón-Sancho, M Sánchez-Calvo - Education Sciences, 2022 - mdpi.com
In this paper, quantitative, descriptive, and correlational research is carried out on the impact
that the process of digitalization of academic activities in higher education has had on the …
that the process of digitalization of academic activities in higher education has had on the …
[HTML][HTML] A novel machine learning model with Stacking Ensemble Learner for predicting emergency readmission of heart-disease patients
A Ghasemieh, A Lloyed, P Bahrami, P Vajar… - Decision Analytics …, 2023 - Elsevier
Early detection of heart complications is highly effective in treating patients with
cardiovascular diseases. Various machine learning methods have previously been used for …
cardiovascular diseases. Various machine learning methods have previously been used for …
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Abstract The World Health Organization (WHO) declared a pandemic in response to the
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach
The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide.
This gynecological carcinoma causes many deaths, even though it can be treated by …
This gynecological carcinoma causes many deaths, even though it can be treated by …
On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments
A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
[HTML][HTML] The impact of artificial intelligence on optimizing diagnosis and treatment plans for rare genetic disorders
S Abdallah, M Sharifa, MKIKH Almadhoun… - Cureus, 2023 - ncbi.nlm.nih.gov
Rare genetic disorders (RDs), characterized by their low prevalence and diagnostic
complexities, present significant challenges to healthcare systems. This article explores the …
complexities, present significant challenges to healthcare systems. This article explores the …
Prediction of Urinary Tract Infection in IoT-Fog Environment for Smart Toilets Using Modified Attention-Based ANN and Machine Learning Algorithms
UTI (Urinary Tract Infection) has become common with maximum error rates in diagnosis.
With the current progress on DM (Data Mining) based algorithms, several research projects …
With the current progress on DM (Data Mining) based algorithms, several research projects …
Digital pandemic stress in higher education in Venezuela
Á Antón-Sancho, D Vergara, E Medina… - European Journal of …, 2022 - mdpi.com
The COVID-19 pandemic had a great impact on the process of integrating digital
technologies in higher education and caused digital stress among professors, mainly in …
technologies in higher education and caused digital stress among professors, mainly in …