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An Efficient Framework for Predict Medical Insurance Costs Using Machine Learning [PDF]

Journal of Computing and Communication
One of the applications of machine learning in predicting medical insurance prices considering health and economic factors is because this branch analyzes how healthcare resources are allocated and how healthcare outcomes are determined.
Omnia Elrashidy, Reda Elazab, Diaa AbdElminaam, Maged Farouk, Nashwa Shaker   +4 more
doaj   +1 more source

Information systems and business & information systems engineering: Status quo and outlook

, 2022
S.1-10Although both communities share a common object of research, the Business and Information Systems Engineering (BISE) community from the German-speaking countries and the Information Systems (IS) community centered in North America have developed ...
Buhl, H.U., Lehnert, M.
core   +1 more source

An examination of the hybrid meta-heuristic machine learning algorithms for early diagnosis of type II diabetes using big data feature selection

Healthcare Analytics, 2023
People are increasingly getting type II diabetes mellitus (T2DM) due to unhealthy food styles, decreased outdoor activities caused by the COVID-19 pandemic, and unawareness of type II diabetes risk factors.
Fatemeh Navazi, Yufei Yuan, Norm Archer
doaj   +1 more source

IT incidents and business impacts: Validating a framework for continuity management in information systems [PDF]

, 2022
Information technology (IT) incidents that make data inaccessible may cause businesses to lose customers, reputation and market position. Previous studies on information management have identified data availability as a key priority, and the literature ...
Järveläinen J
core   +1 more source

Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data

IEEE Access, 2022
With the growing availability and complexity of time-series sequences, scalable and robust machine learning approaches are required that overcome the sampling challenge of quantitatively sufficient training data.
Jan Gross, Ricardo Buettner, Hermann Baumgartl   +2 more
doaj   +1 more source

Provider Perspectives on Sociotechnical Alignment of Intelligent Clinical Decision Support Systems

Information
Intelligent Clinical Decision Support Systems (ICDSS) are increasingly integrated into healthcare settings to enhance clinical decision-making, efficiency, and patient safety.
Andy Behrens, Cherie Noteboom, Patti Brooks   +2 more
doaj   +1 more source

A Point-of-Interest Recommender System for Tourist Groups Based on Cooperative Location Set Cover Problem

Mathematics, 2023
Trip recommendation for groups of tourists (TRGT) is a challenging task in tourism since many tourists travel in groups, inducing social interaction and bringing various social benefits.
George Telonis, Antiopi Panteli, Basilis Boutsinas   +2 more
doaj   +1 more source

Artificial intelligence—friend or foe in fake news campaigns

Economics and Business Review, 2023
In this paper the impact of large language models (LLM) on the fake news phenomenon is analysed. On the one hand decent text‐generation capabilities can be misused for mass fake news production.
Węcel Krzysztof, Sawiński Marcin, Stróżyna Milena, Lewoniewski Włodzimierz, Księżniak Ewelina, Stolarski Piotr, Abramowicz Witold   +6 more
doaj   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Profound Leadership Strategies: Transcending the Leadership Crisis in the Age of Artificial Intelligence

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley   +1 more source