AIMC Topic: Problem-Based Learning

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Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Supervised machine learning (ML) is revolutionising healthcare, but the acquisition of reliable labels for signals harvested from medical sensors is usually challenging, manual, and costly. Active learning can assist in establishing labels on-the-fly...
Algorithms Supervised Machine Learning Problem-Based Learning Uncertainty
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Prescriptive Method for Optimizing Cost of Data Collection and Annotation in Machine Learning of Clinical Ultrasound.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
UNLABELLED: Machine learning in medical ultrasound faces a major challenge: the prohibitive costs of producing and annotating clinical data. Optimizing the data collection and annotation will improve model training efficiency, reducing project cost a...
Machine Learning Ultrasonography Data Collection Problem-Based Learning
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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 Jul 1, 2022
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...
Humans Algorithms Obesity Supervised Machine Learning Smoking Problem-Based Learning
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Incorporating higher order thinking and deep learning in a large, lecture-based human physiology course: can we do it?

Advances in physiology education Dec 1, 2020
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...
Humans Students Deep Learning Educational Measurement Problem-Based Learning Physiology
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Science beyond fiction. A revolution of knowledge transfer in research, education, and practice is on the horizon.

International journal of computerized dentistry Jan 1, 2016
"Digitality" (as opposed to "digitalization"--the conversion from the analog domain to the digital domain) will open up a whole new world that does not originate from the analog world. Contemporary research in the field of neural concepts and neuromo...
Humans Neural Networks, Computer Artificial Intelligence Computer Simulation Precision Medicine User-Computer Interface Imaging, Three-Dimensional Robotics Models, Biological Graphite Problem-Based Learning Technology Transfer Simulation Training Self-Help Devices
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