AI Medical Compendium Topic

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Problem-Based Learning

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Active deep learning to detect demographic traits in free-form clinical notes.

Journal of biomedical informatics
The free-form portions of clinical notes are a significant source of information for research, but before they can be used, they must be de-identified to protect patients' privacy. De-identification efforts have focused on known identifier types (nam...

Incorporating higher order thinking and deep learning in a large, lecture-based human physiology course: can we do it?

Advances in physiology education
Large classes taught with didactic lectures and assessed with multiple-choice tests are commonly reported to promote lower order (LO) thinking and a surface approach (SA) to learning. Using a case study design, we hypothesized that incorporating inst...

A new ML-based approach to enhance student engagement in online environment.

PloS one
The educational research is increasingly emphasizing the potential of student engagement and its impact on performance, retention and persistence. This construct has emerged as an important paradigm in the higher education field for many decades. How...

A deep learning approach to student registered nurse anesthetist (SRNA) education.

International journal of nursing education scholarship
OBJECTIVES: This manuscript describes the application of deep learning to physiology education of Student Registered Nurse Anesthetists (SRNA) and the benefits thereof. A strong foundation in physiology and the ability to apply this knowledge to chal...

Active Learning for Drug Design: A Case Study on the Plasma Exposure of Orally Administered Drugs.

Journal of medicinal chemistry
The success of artificial intelligence (AI) models has been limited by the requirement of large amounts of high-quality training data, which is just the opposite of the situation in most drug discovery pipelines. Active learning (AL) is a subfield of...

Investigation on Deep Learning Model of College English Based on Multimodal Learning Method.

Computational intelligence and neuroscience
Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the mastery of knowledge and skills and more on the cultivation of higher-order thinking skills such as aw...

Application of the PBL Model Based on Deep Learning in Physical Education Classroom Integrating Production and Education.

Computational intelligence and neuroscience
This study aims to arouse students' interest in physical education (PE) in response to President Xi Jinping's call to strengthen students' physical quality because cultural courses occupy PE classes. Problem-based learning (PBL) is introduced, and a ...

A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Biomedical text classification requires having training examples labeled by clinical specialists, a process that can be costly. To address this problem, active learning incrementally selects a subset of the most informative unlabeled examples, sample...

Bimodal Learning Engagement Recognition from Videos in the Classroom.

Sensors (Basel, Switzerland)
Engagement plays an essential role in the learning process. Recognition of learning engagement in the classroom helps us understand the student's learning state and optimize the teaching and study processes. Traditional recognition methods such as se...

Self-Supervised Action Representation Learning Based on Asymmetric Skeleton Data Augmentation.

Sensors (Basel, Switzerland)
Contrastive learning has received increasing attention in the field of skeleton-based action representations in recent years. Most contrastive learning methods use simple augmentation strategies to construct pairs of positive samples. When using such...