AIMC Journal:
Journal of biomedical informatics

Showing 381 to 390 of 650 articles

Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network.

Journal of biomedical informatics Aug 24, 2019
OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during continuous hemodialysis (HD) sessions, referred to as multiple-session patterns (MSPs), and explore whether deep learning models with MSPs have better pe...
Male Middle Aged Deep Learning Renal Dialysis Adolescent Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Pattern Recognition, Automated Systole Blood Pressure Determination Blood Pressure Kidney Failure, Chronic Nonlinear Dynamics Medical Informatics Humans Neural Networks, Computer Prognosis Electronic Health Records Female
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ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU.

Journal of biomedical informatics Aug 17, 2019
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also ...
Humans Neural Networks, Computer Machine Learning Critical Care Algorithms Medical Informatics Sensitivity and Specificity Retrospective Studies Deep Learning Intensive Care Units Hospital Mortality Electronic Health Records ROC Curve Reproducibility of Results Area Under Curve
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An interpretable natural language processing system for written medical examination assessment.

Journal of biomedical informatics Aug 14, 2019
OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...
Data Curation Licensure, Medical Schools, Medical Data Collection Education, Medical Pattern Recognition, Automated Unified Medical Language System Humans Medical Records Software Algorithms Reproducibility of Results Clinical Competence Educational Measurement Fuzzy Logic Natural Language Processing
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Cross-registry neural domain adaptation to extract mutational test results from pathology reports.

Journal of biomedical informatics Aug 8, 2019
OBJECTIVE: We study the performance of machine learning (ML) methods, including neural networks (NNs), to extract mutational test results from pathology reports collected by cancer registries. Given the lack of hand-labeled datasets for mutational te...
Humans Neural Networks, Computer Carcinoma, Non-Small-Cell Lung Mutation Registries Machine Learning Data Mining Neoplasms ErbB Receptors Deep Learning Lung Neoplasms Computational Biology
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Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

Journal of biomedical informatics Jul 30, 2019
AIM: The aim of this study is to compare the utility of several supervised machine learning (ML) algorithms for predicting clinical events in terms of their internal validity and accuracy. The results, which were obtained using two statistical softwa...
Models, Statistical Decision Trees Humans Area Under Curve Neural Networks, Computer Supervised Machine Learning Risk Factors Algorithms Coronary Disease Computational Biology Databases, Factual Logistic Models Prospective Studies Support Vector Machine Longitudinal Studies
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Readmission prediction using deep learning on electronic health records.

Journal of biomedical informatics Jul 24, 2019
Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose significant health risks and escalate care cost. In order to reduce readmissions and curb the cost of care, it is important to initiate targeted inter...
Humans Patient Readmission Time Factors Expert Systems Neural Networks, Computer Risk Factors Computational Biology Cost Savings Electronic Health Records Aged Models, Statistical Female Aged, 80 and over Patient Discharge Sweden Male Heart Failure Deep Learning
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Justifying diagnosis decisions by deep neural networks.

Journal of biomedical informatics Jul 6, 2019
An integrated approach is proposed across visual and textual data to both determine and justify a medical diagnosis by a neural network. As deep learning techniques improve, interest grows to apply them in medical applications. To enable a transition...
Algorithms Reproducibility of Results Humans Diagnosis, Computer-Assisted Area Under Curve Deep Learning Neural Networks, Computer Radiology Image Processing, Computer-Assisted Academic Medical Centers Image Interpretation, Computer-Assisted X-Rays
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Cancer classification and pathway discovery using non-negative matrix factorization.

Journal of biomedical informatics Jul 2, 2019
OBJECTIVES: Extracting genetic information from a full range of sequencing data is important for understanding disease. We propose a novel method to effectively explore the landscape of genetic mutations and aggregate them to predict cancer type.
Databases, Genetic Sequence Analysis, DNA Regression Analysis Mutation Exome Diagnosis, Computer-Assisted Pilot Projects Cell Line, Tumor Gene Expression Regulation, Neoplastic Support Vector Machine Humans Algorithms Reproducibility of Results Neoplasms
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Linguistic summarization of in-home sensor data.

Journal of biomedical informatics Jun 28, 2019
INTRODUCTION: With the increase in the population of older adults around the world, a significant amount of work has been done on in-home sensor technology to aid the elderly age independently. However, due to the large amounts of data generated by t...
Sample Size Humans Independent Living Surveys and Questionnaires Remote Sensing Technology Algorithms Focus Groups Time Factors Gait Retrospective Studies Linguistics United States Monitoring, Ambulatory Aged Health Services for the Aged Fuzzy Logic National Library of Medicine (U.S.) Natural Language Processing
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HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology.

Journal of biomedical informatics Jun 27, 2019
BACKGROUND: In precision medicine, deep phenotyping is defined as the precise and comprehensive analysis of phenotypic abnormalities, aiming to acquire a better understanding of the natural history of a disease and its genotype-phenotype associations...
Electronic Health Records ROC Curve Genetic Association Studies Area Under Curve Machine Learning Databases, Genetic Humans Medical Informatics Models, Statistical Algorithms Semantics Phenotype Biological Ontologies Computer Simulation Rare Diseases Precision Medicine
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