AIMC Topic: Learning

Clear Filters Showing 1311 to 1320 of 1476 articles

Rule-Based Natural Language Processing Pipeline to Detect Medication-Related Named Entities: Insights for Transfer Learning.

Studies in health technology and informatics
We document the procedure and performance of a rule-based NLP system that, using transfer learning, automatically extracts essential named entities related to drug errors from Japanese free-text incident reports. Subsequently, we used the rule-based ...

Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Healthcare providers learn continuously, but better support for provider learning is needed as new biomedical knowledge is produced at an increasing rate alongside widespread use of EHR data for clinical performance measurement. Precision feedback is...

Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator.

Chaos (Woodbury, N.Y.)
We propose a machine-learning approach to construct reduced-order models (ROMs) to predict the long-term out-of-sample dynamics of brain activity (and in general, high-dimensional time series), focusing mainly on task-dependent high-dimensional fMRI ...

[Reflections on the Design of English-Medium Instruction Courses in Nursing].

Hu li za zhi The journal of nursing
In line with the Taiwan government's 2030 bilingual national policy, nursing education must emphasize the importance of enhancing English proficiency, developing international competitiveness, and fostering global literacy. English is used as the med...

Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes.

Briefings in bioinformatics
Artificial intelligence (AI) approaches in cancer analysis typically utilize a 'one-size-fits-all' methodology characterizing average patient responses. This manner neglects the diverse conditions in the pancancer and cancer subtypes of individual pa...

HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Briefings in bioinformatics
Accurate prediction of molecular properties is an important topic in drug discovery. Recent works have developed various representation schemes for molecular structures to capture different chemical information in molecules. The atom and motif can be...

An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Individuals who suffer from severe paralysis often lose the capacity to perform fundamental body movements and everyday activities. Empowering these individuals with the ability to operate robotic arms, in high degrees-of-freedom (DoFs), can help to ...

No worries with ChatGPT: building bridges between artificial intelligence and education with critical thinking soft skills.

Journal of public health (Oxford, England)
This correspondence discusses the role of artificial intelligence (AI) like ChatGPT in education and research, focusing on developing critical thinking skills and maintaining academic integrity. AI can complement learning and research processes when ...

Exploring AI Literacy Among Older Adults.

Studies in health technology and informatics
Artificial Intelligence (AI) technology is increasingly being integrated into our daily lives and many aspects of society. AI is viewed as a new opportunity to promote independent living and well-being for older adults. AI literacy plays an important...

The Puzzle of Evaluating Moral Cognition in Artificial Agents.

Cognitive science
In developing artificial intelligence (AI), researchers often benchmark against human performance as a measure of progress. Is this kind of comparison possible for moral cognition? Given that human moral judgment often hinges on intangible properties...