AIMC Journal:
Studies in health technology and informatics

Showing 871 to 880 of 1278 articles

Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task.

Studies in health technology and informatics Aug 21, 2019
In this paper, we trained a set of Portuguese clinical word embedding models of different granularities from multi-specialty and multi-institutional clinical narrative datasets. Then, we assessed their impact on a downstream biomedical NLP task of Ur...
Machine Learning Language Narration Natural Language Processing Portugal
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Word Embedding for French Natural Language in Healthcare: A Comparative Study.

Studies in health technology and informatics Aug 21, 2019
Structuring raw medical documents with ontology mapping is now the next step for medical intelligence. Deep learning models take as input mathematically embedded information, such as encoded texts. To do so, word embedding methods can represent every...
Natural Language Processing Semantics Language Deep Learning
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Text Classification to Inform Suicide Risk Assessment in Electronic Health Records.

Studies in health technology and informatics Aug 21, 2019
Assessing a patient's risk of an impending suicide attempt has been hampered by limited information about dynamic factors that change rapidly in the days leading up to an attempt. The storage of patient data in electronic health records (EHRs) has fa...
Risk Assessment Suicide Prevention Electronic Health Records Mental Health Humans Machine Learning Research Design
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Automatic Methods to Extract Prescription Status Quality Measures from Unstructured Health Records.

Studies in health technology and informatics Aug 21, 2019
Hospital systems frequently implement quality measures to quantify healthcare processes and patient outcomes. One such measure that has previously been used is the Surgical Care Improvement Project (SCIP) quality measure of perioperative beta blocker...
Quality of Health Care Medical Records Systems, Computerized Natural Language Processing Adrenergic beta-Antagonists Humans Hospitals
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Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis.

Studies in health technology and informatics Aug 21, 2019
Kidney transplantation is recommended for patients with End-Stage Renal Disease (ESRD). However, complications, such as graft rejection are hard to predict due to donor and recipient variability. This study discusses the role of machine learning (ML)...
Machine Learning Kidney Transplantation Humans Graft Survival Graft Rejection Tissue Donors
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The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity.

Studies in health technology and informatics Aug 21, 2019
Eliciting semantic similarity between concepts remains a challenging task. Recent approaches founded on embedding vectors have gained in popularity as they have risen to efficiently capture semantic relationships. The underlying idea is that two word...
Medical Subject Headings MEDLINE Humans Neural Networks, Computer PubMed Semantics
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Clinical Safety Incident Taxonomy Performance on C4.5 Decision Tree and Random Forest.

Studies in health technology and informatics Aug 8, 2019
The paper applies an artificial intelligence centered method to classify 12 clinical safety incident (CSI) classes. The paper aims to establish a taxonomy that classifies the CSI reports into their correct classes automatically and with high accuracy...
Humans Decision Trees Artificial Intelligence Risk Management Patient Safety
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Clinical Decision Support Systems: From the Perspective of Small and Imbalanced Data Set.

Studies in health technology and informatics Jul 4, 2019
Clinical decision support systems are data analysis software that supports health professionals' decision - making the process to reach their ultimate outcome, taking into account patient information. However, the need for decision support systems ca...
Decision Support Systems, Clinical Humans Bayes Theorem Machine Learning Support Vector Machine Algorithms
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Enhancing Precision in Gesture Detection for Hand Recovery After Injury Using Leap Motion and Machine Learning.

Studies in health technology and informatics Jul 4, 2019
This paper presents an improved solution for detecting gestures with a better precision using the Leap Motion sensor and Machine Learning support. A neural network is trained to recognize a hand rotation gesture expressing the grade of recovery, with...
Machine Learning Motion Gestures Humans Hand Movement
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Named Entity Recognition and Classification for Medical Prospectuses.

Studies in health technology and informatics Jul 4, 2019
Structuring and processing natural language is a growing challenge in the medical field. Researchers are looking for new ways to extract knowledge to create databases and applications to help doctors treat patients and minimize medical errors. A very...
Data Mining Medical Errors Natural Language Processing Humans Language
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