AIMC Journal:
Studies in health technology and informatics

Showing 951 to 960 of 1278 articles

Automated Error Detection in Physiotherapy Training.

Studies in health technology and informatics Jan 1, 2018
BACKGROUND: Manual skills teaching, such as physiotherapy education, requires immediate teacher feedback for the students during the learning process, which to date can only be performed by expert trainers.
Physical Therapy Modalities Humans Machine Learning Gestures Feedback Movement Learning Students
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Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model.

Studies in health technology and informatics Jan 1, 2018
BACKGROUND: A challenge of using electronic health records for secondary analyses is data quality. Body mass index (BMI) is an important predictor for various diseases but often not documented properly.
Humans Neural Networks, Computer Linear Models Machine Learning Body Mass Index
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EHR Text Categorization for Enhanced Patient-Based Document Navigation.

Studies in health technology and informatics Jan 1, 2018
Patients with multiple disorders usually have long diagnosis lists, constitute by ICD-10 codes together with individual free-text descriptions. These text snippets are produced by overwriting standardized ICD-Code topics by the physicians at the poin...
Humans Electronic Health Records Natural Language Processing International Classification of Diseases
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A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.

Studies in health technology and informatics Jan 1, 2018
Lately, several studies started to investigate the existence of links between cannabis use and psychotic disorders. This work proposes a refined Machine Learning framework for understanding the links between cannabis use and 1st episode psychosis. Th...
Cannabis Humans Psychoses, Substance-Induced Algorithms Machine Learning Psychotic Disorders ROC Curve
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Selection of Semantic Relevant Healthcare Services Subsets.

Studies in health technology and informatics Jan 1, 2018
We describe an approach to select semantically coherent specialty subsets based on the historical use of terminology by different service areas. Our approach uses rule-based and machine learning techniques to obtain a reduced set of 29 specialties.
Humans Terminology as Topic Machine Learning Computer Systems Semantics
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Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base.

Studies in health technology and informatics Jan 1, 2018
Performing image feature extraction in radiation oncology is often dependent on the organ and tumor delineations provided by clinical staff. These delineation names are free text DICOM metadata fields resulting in undefined information, which require...
Radiation Oncology Knowledge Bases Metadata Semantic Web Humans Software
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Personalized Knowledge Transfer for Caregiving Relatives.

Studies in health technology and informatics Jan 1, 2018
Caregiving relatives have to manage very diverse tasks and need a lot of care-relevant knowledge. For most of them it is not easy to find the knowledge required. Thus, a personalized knowledge transfer for caregiving relatives is necessary. Against t...
Knowledge Bases Caregivers Humans
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Building Bayesian Networks from Causal Rules.

Studies in health technology and informatics Jan 1, 2018
Bayesian Networks (BNs) are often used for designing diagnosis decision support systems. They are a well-established method for reasoning under uncertainty and making inferences. But, eliciting the probabilities can be tedious and time-consuming espe...
Bayes Theorem Probability Humans Software Diagnosis Expert Systems Uncertainty
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Improving Layman Readability of Clinical Narratives with Unsupervised Synonym Replacement.

Studies in health technology and informatics Jan 1, 2018
We report on the development and evaluation of a prototype tool aimed to assist laymen/patients in understanding the content of clinical narratives. The tool relies largely on unsupervised machine learning applied to two large corpora of unlabeled te...
Comprehension Humans Supervised Machine Learning Narration Semantics Unsupervised Machine Learning Natural Language Processing
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Fine-Tuning Neural Patient Question Retrieval Model with Generative Adversarial Networks.

Studies in health technology and informatics Jan 1, 2018
The online patient question and answering (Q&A) system attracts an increasing amount of users in China. Patient will post their questions and wait for doctors' response. To avoid the lag time involved with the waiting and to reduce the workload o...
Humans Information Seeking Behavior Neural Networks, Computer Consumer Health Informatics China
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