AIMC Journal:
Studies in health technology and informatics

Showing 961 to 970 of 1278 articles

Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data.

Studies in health technology and informatics Jan 1, 2018
Medical reports often contain a lot of relevant information in the form of free text. To reuse these unstructured texts for biomedical research, it is important to extract structured data from them. In this work, we adapted a previously developed inf...
Data Mining Information Storage and Retrieval Natural Language Processing Italy Language Biomedical Research Humans
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Automatic Annotation of French Medical Narratives with SNOMED CT Concepts.

Studies in health technology and informatics Jan 1, 2018
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused. ...
Narration Natural Language Processing Humans Language Systematized Nomenclature of Medicine Data Curation Automation Semantics
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An Automated Technique to Construct a Knowledge Base of Traditional Chinese Herbal Medicine for Cancers: An Exploratory Study for Breast Cancer.

Studies in health technology and informatics Jan 1, 2018
Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited database provides the information of TCM herbs and diseases. The study aims to identify and evaluate the meaningful associations between TCM herbs and...
Taiwan Breast Neoplasms Drugs, Chinese Herbal Medicine, Chinese Traditional Humans Knowledge Bases
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Combining the Generic Entity-Attribute-Value Model and Terminological Models into a Common Ontology to Enable Data Integration and Decision Support.

Studies in health technology and informatics Jan 1, 2018
The integration of clinical information models and termino-ontological models into a unique ontological framework is highly desirable for it facilitates data integration and management using the same formal mechanisms for both data concepts and infor...
Humans Biological Ontologies Decision Support Techniques Knowledge Bases
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A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

Studies in health technology and informatics Jan 1, 2018
We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Dise...
Risk Algorithms Humans Bayes Theorem Knowledge Bases Probability
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A Review of Decision Support Systems for Smart Homes in the Health Care System.

Studies in health technology and informatics Jan 1, 2018
The use of decision support systems for smart homes can provide attractive solutions for challenges that have arisen in the Health Care System due to ageing of society. In order to provide an overview of current research projects in this field, a sys...
Decision Support Systems, Clinical Expert Systems Humans Software
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Applications of Machine Learning in Fatty Live Disease Prediction.

Studies in health technology and informatics Jan 1, 2018
: Fatty liver disease (FLD) is considered the most prevalent form of chronic liver disease worldwide. The prediction of fatty liver disease is an important factor for effective treatment and reduce serious health consequences. We, therefore construct...
Sensitivity and Specificity Male Algorithms Female Support Vector Machine Fatty Liver Logistic Models Humans Machine Learning
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Estimating a Bias in ICD Encodings for Billing Purposes.

Studies in health technology and informatics Jan 1, 2018
ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitment. However, "official" ICD encoded diagnoses used for billing purposes are afflicted with a bias originating from legal issues. This work presents an ...
Humans Supervised Machine Learning International Classification of Diseases Bias Patient Discharge Algorithms
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Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis.

Studies in health technology and informatics Jan 1, 2018
Numerous diagnostic decisions are made every day by healthcare professionals. Bayesian networks can provide a useful aid to the process, but learning their structure from data generally requires the absence of missing data, a common problem in medica...
Bayes Theorem Sleep Apnea, Obstructive Algorithms Cluster Analysis Humans Machine Learning
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Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data.

Studies in health technology and informatics Jan 1, 2018
Emergency room(ER) visit prediction, especially whether visit ER or not and ER visit count, is crucial for hospitals to reasonably adapt resource allocation and` for patients to know future health state. Some existing studies have explored to use mac...
Electronic Health Records Emergency Service, Hospital Humans Machine Learning
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