AIMC Topic: Problem-Based Learning

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The association between deep learning approach and case based learning.

BMC medical education Apr 11, 2019
Being medical students, and having experienced different learning approaches ourselves, here, we discuss and critically analyse the importance of the deep learning approach that Chonkar et al. have presented, alongside emphasizing Case Based Learning...
Problem-Based Learning Curriculum Education, Medical Humans Students, Medical Deep Learning Educational Measurement
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Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.

International journal of medical informatics Dec 23, 2017
BACKGROUND: Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emer...
Education, Medical Universities Teacher Training Information Systems Perception Access to Information Humans Surveys and Questionnaires Problem-Based Learning
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Active learning reduces annotation time for clinical concept extraction.

International journal of medical informatics Aug 5, 2017
OBJECTIVE: To investigate: (1) the annotation time savings by various active learning query strategies compared to supervised learning and a random sampling baseline, and (2) the benefits of active learning-assisted pre-annotations in accelerating th...
Humans Machine Learning Algorithms Information Storage and Retrieval Electronic Health Records Problem-Based Learning Natural Language Processing
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An active learning-enabled annotation system for clinical named entity recognition.

BMC medical informatics and decision making Jul 5, 2017
BACKGROUND: Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few studies have investigated AL in a ...
Computer Simulation Natural Language Processing Humans Medical Informatics Problem-Based Learning
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Clinical Word Sense Disambiguation with Interactive Search and Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Resolving word ambiguity in clinical text is critical for many natural language processing applications. Effective word sense disambiguation (WSD) systems rely on training a machine learning based classifier with abundant clinical text that is accura...
Machine Learning Algorithms Humans Problem-Based Learning Models, Theoretical Natural Language Processing
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Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments.

PloS one Sep 14, 2016
Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that ...
Problem-Based Learning Supervised Machine Learning Acoustics Sound Classification Machine Learning Algorithms Humans
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Active learning: a step towards automating medical concept extraction.

Journal of the American Medical Informatics Association : JAMIA Aug 7, 2015
OBJECTIVE: This paper presents an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Specifically, (1) the contribution of active learning in reducing the annotation effort and (2) the robu...
Machine Learning Algorithms Problem-Based Learning Semantics Vocabulary, Controlled Electronic Health Records Information Storage and Retrieval
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Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set.

IEEE transactions on neural networks and learning systems Feb 26, 2015
In practical machine learning applications, human instruction is indispensable for model construction. To utilize the precious labeling effort effectively, active learning queries the user with selective sampling in an interactive way. Traditional ac...
Handwriting Generalization, Psychological Algorithms Humans Information Storage and Retrieval Neural Networks, Computer Models, Theoretical Problem-Based Learning
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Adaptive Batch Mode Active Learning.

IEEE transactions on neural networks and learning systems Sep 29, 2014
Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar and representative ins...
Problem-Based Learning Neural Networks, Computer Algorithms Biometry Machine Learning
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Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology.

Studies in health technology and informatics Aug 22, 2024
Ontology is essential for achieving health information and information technology application interoperability in the biomedical fields and beyond. Traditionally, ontology construction is carried out manually by human domain experts (HDE). Here, we e...
Humans Terminology as Topic Vocabulary, Controlled Problem-Based Learning Supervised Machine Learning Biological Ontologies
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