Hidden big data analytics issues in the healthcare industry

KD Strang, Z Sun - Health informatics journal, 2020 - journals.sagepub.com
The goal of the study was to identify big data analysis issues that can impact empirical
research in the healthcare industry. To accomplish that the author analyzed big data related …

Risks of AI-assisted learning on student critical thinking: a case study of Albania

E Çela, MM Fonkam, RM Potluri - International Journal of Risk and …, 2024 - igi-global.com
Artificial Intelligence (AI) has increasingly become a transformative force in the education
sector, offering unprecedented opportunities to enhance learning experiences and …

[PDF][PDF] Big Data, Analytics, and Intelligence: An Editorial Perspective.

Z Sun, PP Wang - New Math. Nat. Comput., 2017 - researchgate.net
Big data, analytics and intelligence are the three pillars of the building blocks for a
successful enterprise. Effective utilization so far these three pillars and the properly arranged …

Applications of artificial intelligence in small-and medium-sized enterprises (SMEs)

S Borah, C Kama, S Rakshit, NR Vajjhala - Cognitive Informatics and Soft …, 2022 - Springer
The advancements in deep learning methods have brought several new artificial
intelligence (AI) applications making AI important for every enterprise that aims to be …

Effect of Organizational Fit on Organizational Happiness: Mediating Role of Moral Commitment.

E Töre, OK Uysal - International Journal of Progressive Education, 2022 - ERIC
This study examines the mediating role of moral commitment in the effect of teachers'
organizational fit on their organizational happiness and determines teachers' organizational …

Problems with research methods in medical device big data analytics

KD Strang - International Journal of Data Science and Analytics, 2020 - Springer
This paper reviews the literature as well as subject matter expert opinions and examines
how research methods are being applied in medical device big data analytics. The focus of …

General analytics limitations with coronavirus healthcare big data

KD Strang - International Journal of Healthcare Technology …, 2021 - inderscienceonline.com
Search engines and the SPSS Python R extension were used to analyse COVID-19
healthcare big data information stored on the internet to identify significant limitations of …

Resistance, diseconomies, and abnormal AI behavior in HRM: a real-time big data action research experiment at a pharmaceutical

KD Strang - Human-Intelligent Systems Integration, 2022 - Springer
Human resources management (HRM) stakeholders must make strategic decisions about
artificial intelligence (AI) or they may risk failure if competitors implement faster objective …

Interpreting, analyzing and distributing information: a big data framework for competitive intelligence.

E Luis Casarotto, G Cunha Malafaia… - … Studies in Business, 2021 - search.ebscohost.com
This paper aimed to develop a data-based technological innovation framework focused on
the competitive intelligence process. Technological innovations increasingly transform the …

How Could Machine Learning Help Healthcare Informatics Predict Coronavirus?

KD Strang - Health Informatics and Patient Safety in Times of Crisis, 2023 - igi-global.com
This chapter differs from most healthcare informatics studies because the focus is on
conceptual COVID-19 SARS-CoV2 (coronavirus) prediction rather than detection. The …