Results 11 to 20 of about 7,106,023 (372)

A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption

IEEE Access, 2023
Predicting the ship fuel consumption constitutes a prerequisite for speed, trim, and voyage optimization. In spite of the rise of deep learning and transformers in many domains, research works train shallow machine learning (ML) algorithms for predicting
Loukas Ilias, Panagiotis Kapsalis, Spiros Mouzakitis, Dimitris Askounis   +3 more
doaj   +1 more source

Artificial intelligence in clinical decision support systems for oncology

International Journal of Medical Sciences, 2023
Artificial intelligence (AI) has been widely used in various medical fields, such as image diagnosis, pathological classification, selection of treatment schemes, and prognosis analysis.
Lu Wang, Xinyi Chen, Lu Zhang, Long Li, Yongbiao Huang, Yinan Sun, Xianglin Yuan   +6 more
semanticscholar   +1 more source

Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems

International Conference on Human Factors in Computing Systems, 2022
The field of eXplainable Artificial Intelligence (XAI) focuses on providing explanations for AI systems’ decisions. XAI applications to AI-based Clinical Decision Support Systems (DSS) should increase trust in the DSS by allowing clinicians to ...
Cecilia Panigutti, Andrea Beretta, F. Giannotti, Dino Pedreschi   +3 more
semanticscholar   +1 more source

The use of ICT during lockdown in higher education and the effects on university instructors

Heliyon, 2022
During the pandemic, the Higher Education Institutions of Greece used Information and Communications Technologies (ICT) to an unprecedented degree to respond to the requirements of distance education and research work.
Evangelia Krassadaki, Stelios Tsafarakis, Vassilis Kapenis, Nikolaos Matsatsinis   +3 more
doaj   +1 more source

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

PLOS Digital Health, 2022
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against explainability for AI-powered Clinical Decision Support System (CDSS) applied to a concrete use ...
J. Amann, Dennis Vetter, S. Blomberg, H. Christensen, M. Coffee, S. Gerke, T. Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, R. Zicari, V. Madai   +13 more
semanticscholar   +1 more source

Missing Value Imputation Methods for Electronic Health Records

IEEE Access, 2023
Electronic health records (EHR) are patient-level information, e.g., laboratory tests and questionnaires, stored in electronic format. Compared to physical records, the EHR alternative allows patients to access their data easily and helps staff with ...
Konstantinos Psychogyios, Loukas Ilias, Christos Ntanos, Dimitris Askounis   +3 more
doaj   +1 more source

Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake

Implementation Science, 2022
Background Computerized clinical decision support systems (CDSSs) are a promising knowledge translation tool, but often fail to meaningfully influence the outcomes they target.
A. Kouri, J. Yamada, J. Lam Shin Cheung, S. Van de Velde, Samir Gupta   +4 more
semanticscholar   +1 more source

Bridging the Gap between Technological Education and Job Market Requirements through Data Analytics and Decision Support Services

Applied Sciences, 2022
In the 21st century, technology evolves extremely fast. The same applies to technology-related professions, mostly in terms of skills requirements. Contradictorily, higher education technological institutions are not always in the position to keep up ...
Evangelos Karakolis, Panagiotis Kapsalis, Stavros Skalidakis, Christos Kontzinos, Panagiotis Kokkinakos, Ourania Markaki, Dimitrios Askounis   +6 more
doaj   +1 more source

Towards effective clinical decision support systems: A systematic review

PLoS ONE, 2022
Background Clinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories ...
Francini Hak, Tiago Guimarães, M. Santos   +2 more
semanticscholar   +1 more source

An observability and detectability analysis for non-linear uncertain CSTR model of biochemical processes

Scientific Reports, 2022
The problem of proving observability/detectability properties for selected non-linear uncertain model of biochemical processes has been addressed in this paper.
Mateusz Czyżniewski, Rafał Łangowski
doaj   +1 more source