Results 101 to 110 of about 522,455 (311)
, 2021 Introduction: Large amounts of data are available for analyses from survey datasets. However, missing data can potentially reduce statistical power and/or introduce bias into analyses when not addressed correctly.
Podolsky, Sho
core
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
A method for finding the background potential of quantum devices from scanning gate microscopy data using machine learning [PDF]
, 2022 The inverse problem of estimating the background potential from measurements of the local density of states is a challenging issue in quantum mechanics.
Aoki, Nobuyuki +3 more
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Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Machine learning potential assisted exploration of complex defect potential energy surfaces
npj Computational MaterialsAtomic-scale defects generated in materials under both equilibrium and irradiation conditions can significantly impact their physical and mechanical properties.
Chao Jiang +3 more
doaj +1 more source
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
Presenting machine learning model information to clinical end users with model facts labels
npj Digital Medicine, 2020 There is tremendous enthusiasm surrounding the potential for machine learning to improve medical prognosis and diagnosis. However, there are risks to translating a machine learning model into clinical care and clinical end users are often unaware of the ...
Mark P. Sendak +3 more
doaj +1 more source
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
Machine Learning for Metabolic Identification
, 2023 Metabolic identification is an essential part of metabolomics to understand biochemical characteristics of metabolites, which are small molecules that play important functions in biological systems.
Nguyen, Dai Hai +2 more
core +1 more source
Machine learning interatomic potential can infer electrical response
npj Computational MaterialsModeling the response of material and chemical systems to electric fields remains a longstanding challenge. Machine learning interatomic potentials (MLIPs) offer an efficient and scalable alternative to quantum mechanical methods, but do not by ...
Peichen Zhong +3 more
doaj +1 more source