AIMC Journal:
International journal of medical informatics

Showing 311 to 320 of 372 articles

Risk-based postprandial hypoglycemia forecasting using supervised learning.

International journal of medical informatics Mar 11, 2019
BACKGROUND: Predicting insulin-induced postprandial hypoglycemic events is critical for the safety of type 1 diabetes patients because an early warning of hypoglycemia facilitates correction of the insulin bolus before its administration. The postpra...
Male Blood Glucose Insulin Forecasting Retrospective Studies Female Supervised Machine Learning Humans Postprandial Period Diabetes Mellitus, Type 1 Insulin Infusion Systems Hypoglycemic Agents Hypoglycemia
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A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.

International journal of medical informatics Feb 20, 2019
OBJECTIVE: In this systematic review, we aim to synthesize the literature on the use of natural language processing (NLP) and text mining as they apply to symptom extraction and processing in electronic patient-authored text (ePAT).
United States Natural Language Processing Data Mining Humans Patient Participation Electronic Health Records National Institutes of Health (U.S.)
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Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.

International journal of medical informatics Jan 18, 2019
OBJECTIVE: Melanoma is a dangerous form of the skin cancer responsible for thousands of deaths every year. Early detection of melanoma is possible through visual inspection of pigmented lesions over the skin, treated with simple excision of the cance...
Neural Networks, Computer Melanoma Skin Neoplasms Humans Cluster Analysis Dermoscopy Sensitivity and Specificity Fuzzy Logic
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Using natural language processing to extract clinically useful information from Chinese electronic medical records.

International journal of medical informatics Jan 7, 2019
AIMS: To develop a natural language processing (NLP)-based algorithm for extracting clinically useful information for patients with hepatocellular carcinoma (HCC) from Chinese electronic medical records (EMRs) and use these data for the assessment of...
China Liver Neoplasms Carcinoma, Hepatocellular Humans Algorithms Electronic Health Records Natural Language Processing Information Storage and Retrieval
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Quantitative analysis of manual annotation of clinical text samples.

International journal of medical informatics Dec 31, 2018
BACKGROUND: Semantic interoperability of eHealth services within and across countries has been the main topic in several research projects. It is a key consideration for the European Commission to overcome the complexity of making different health in...
Humans Europe Natural Language Processing Unified Medical Language System Medical Informatics Semantics Systematized Nomenclature of Medicine
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The analysis of the effects of acute rheumatic fever in childhood on cardiac disease with data mining.

International journal of medical informatics Dec 27, 2018
BACKGROUND: Acute rheumatic fever (ARF) is an important disease that is frequently seen in Turkey, it is necessary to develop solutions to cure the disease. It is believed that new data analysis methods may be applied to this disease, and this may be...
Child Male Data Mining Decision Trees Humans Heart Diseases Adolescent Bayes Theorem Algorithms Rheumatic Fever Child, Preschool Female
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A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.

International journal of medical informatics Dec 10, 2018
PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage.
Middle Aged Sepsis Adult Algorithms Adolescent Aged Biomarkers Male Aged, 80 and over Retrospective Studies Cardiovascular Diseases Blood Pressure Young Adult Critical Illness Heart Rate Humans Intensive Care Units Models, Cardiovascular Machine Learning Female
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Nasal cytology with deep learning techniques.

International journal of medical informatics Nov 30, 2018
BACKGROUND: In recent years, cytological observations in the Rhinology field are being increasingly utilized. This development has taken place over the last two decades and has proven to be fundamental in defining new nosological entities and in driv...
Cytological Techniques Neural Networks, Computer Nasal Mucosa Deep Learning Image Processing, Computer-Assisted Humans
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ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata.

International journal of medical informatics Nov 3, 2018
OBJECTIVE: Reproducibility of research studies is key to advancing biomedical science by building on sound results and reducing inconsistencies between published results and study data. We propose that the available data from research studies combine...
Metadata Semantics Biological Ontologies Algorithms Reproducibility of Results Biomedical Research Humans
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SCREEN-DR: Collaborative platform for diabetic retinopathy.

International journal of medical informatics Oct 18, 2018
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR) is the most prevalent microvascular complication of diabetes mellitus and can lead to irreversible visual loss. Screening programs, based on retinal imaging techniques, are fundamental to detect the...
Machine Learning Software Algorithms Humans Mass Screening Diabetic Retinopathy Image Interpretation, Computer-Assisted Artificial Intelligence
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