Online bearing fault diagnosis using numerical simulation models and machine learning classifications
H Wang, J Zheng, J Xiang - Reliability Engineering & System Safety, 2023 - Elsevier
Digital twin (DT) is the embodiment of the most advanced achievements of the current
simulation technology theory development and the direction of intelligent development in the …
simulation technology theory development and the direction of intelligent development in the …
The robustness of counterfactual explanations over time
A Ferrario, M Loi - Ieee Access, 2022 - ieeexplore.ieee.org
Counterfactual explanations are a prominent example of post-hoc interpretability methods in
the explainable Artificial Intelligence (AI) research domain. Differently from other explanation …
the explainable Artificial Intelligence (AI) research domain. Differently from other explanation …
Machine learning models to detect social distress, spiritual pain, and severe physical psychological symptoms in terminally ill patients with cancer from unstructured …
K Masukawa, M Aoyama, S Yokota… - Palliative …, 2022 - journals.sagepub.com
Background: Few studies have developed automatic systems for identifying social distress,
spiritual pain, and severe physical and phycological symptoms from text data in electronic …
spiritual pain, and severe physical and phycological symptoms from text data in electronic …
Charting everyday activities in later life: Study protocol of the mobility, activity, and social interactions study (MOASIS)
Prominent theories of aging emphasize the importance of resource allocation processes as
a means to maintain functional ability, well-being and quality of life. Little is known about …
a means to maintain functional ability, well-being and quality of life. Little is known about …
[HTML][HTML] Predicting the next-day perceived and physiological stress of pregnant women by using machine learning and explainability: algorithm development and …
Background Cognitive behavioral therapy–based interventions are effective in reducing
prenatal stress, which can have severe adverse health effects on mothers and newborns if …
prenatal stress, which can have severe adverse health effects on mothers and newborns if …
Year 2020 (with covid): Observation of scientific literature on clinical natural language processing
N Grabar, C Grouin - Yearbook of Medical Informatics, 2021 - thieme-connect.com
Objectives: To analyze the content of publications within the medical NLP domain in 2020.
Methods: Automatic and manual preselection of publications to be reviewed, and selection …
Methods: Automatic and manual preselection of publications to be reviewed, and selection …
[HTML][HTML] Non-invasively discriminating the pathological subtypes of non-small cell lung cancer with pretreatment 18F-FDG PET/CT using deep learning
H Zhao, Y Su, Z Lyu, L Tian, P Xu, L Lin, W Han… - Academic Radiology, 2024 - Elsevier
Rationale and Objectives To develop an end-to-end deep learning (DL) model for non-
invasively predicting non-small cell lung cancer (NSCLC) pathological subtypes based on …
invasively predicting non-small cell lung cancer (NSCLC) pathological subtypes based on …
[HTML][HTML] Predicting working memory in healthy older adults using real-life language and social context information: a machine learning approach
Background Language use and social interactions have demonstrated a close relationship
with cognitive measures. It is important to improve the understanding of language use and …
with cognitive measures. It is important to improve the understanding of language use and …
Understanding reminiscence and its negative functions in the everyday conversations of young adults: A machine learning approach
A Ferrario, B Demiray - Heliyon, 2024 - cell.com
Reminiscence is the act of recalling or telling others about relevant personal past
experiences. It is an important activity for all individuals, young and old alike. In fact …
experiences. It is an important activity for all individuals, young and old alike. In fact …
With a little help from familiar interlocutors: Real-world language use in young and older adults
Objectives Functional psychologists are concerned with the performance of cognitive
activities in the real world in relation to cognitive changes in older age. Conversational …
activities in the real world in relation to cognitive changes in older age. Conversational …