Results 11 to 20 of about 60,929 (294)
Predictive Analytics in the Production of Elevators [PDF]
, 2021 With the emerging role of digitalization in the industrial sector, more and more companies attempt to increase asset availability, improve product quality and reduce maintenance costs. Manufacturing companies are faced with the need to transform traditional services into remote factory monitoring solutions using big data and advanced analytics. Kone is
Boldosova, Valeria +5 more
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Risk Assessment Using Predictive Analytics
, 2023 Purpose: This research paper uses design science methodology to develop and evaluate a predictive analytics model for audit risk assessment. This research therefore contributes to improving the accuracy and efficiency of audit risk assessment through ...
Alotaibi, Eid Mohammed
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Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition
Machine Learning and Knowledge Extraction, 2022 Biomedical Named-Entity Recognition (BioNER) has become an essential part of text mining due to the continuously increasing digital archives of biological and medical articles. While there are many well-performing BioNER tools for entities such as genes,
Nadeesha Perera +3 more
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Predatory predictions and the ethics of predictive analytics
Journal of the Association for Information Science and Technology, 2023 AbstractIn this paper, I critically examine ethical issues introduced by predictive analytics. I argue firms can have a market incentive to construct deceptively inflated true‐positive outcomes: individuals are over‐categorized as requiring a penalizing treatment and the treatment leads to mistakenly thinking this label was correct.
openaire +1 more source
Frontiers in Artificial Intelligence, 2021 Developing data-driven solutions that address real-world problems requires understanding of these problems’ causes and how their interaction affects the outcome–often with only observational data.
Bradley Butcher +8 more
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Retention, Progression and the Taking of Online Courses
Online Learning, 2015 Online learning continues to grow at post-secondary institutions across the United States, but many question its efficacy, especially for students most at-risk for failure. This paper engages that issue.
Scott James +2 more
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Deep Learning-Based Predictive Analytics for Personalized Healthcare [PDF]
, 2022 This paper introduces a novel deep learning-based predictive analytics framework aimed at transforming personalized healthcare. By leveraging diverse data sources, including electronic health records (EHRs) and genomic information, the proposed approach ...
Mayur Kalubhai, Tundiya
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Predictive Analytics for Employee Attrition & Performance
, 2022 Today's world, every company is interested in predicting employee performance and attrition based on employee performance evaluations conducted quarterly or semi annually.
Dereddy, Akhil Reddy
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Diagnostic and Prognostic Research, 2020 Background The need for life-saving interventions such as mechanical ventilation may threaten to outstrip resources during the Covid-19 pandemic. Allocation of these resources to those most likely to benefit can be supported by clinical prediction models.
David M. Kent +3 more
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