AIMC Journal:
International journal of medical informatics

Showing 301 to 310 of 372 articles

Interpretable deep learning to map diagnostic texts to ICD-10 codes.

International journal of medical informatics May 22, 2019
BACKGROUND: Automatic extraction of morbid disease or conditions contained in Death Certificates is a critical process, useful for billing, epidemiological studies and comparison across countries. The fact that these clinical documents are written in...
Deep Learning Neural Networks, Computer International Classification of Diseases Electronic Health Records
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ONCOhabitats: A system for glioblastoma heterogeneity assessment through MRI.

International journal of medical informatics May 16, 2019
BACKGROUND: Neuroimaging analysis is currently crucial for an early assessment of glioblastoma, to help improving treatment and tumor follow-up. To this end, multiple functional and morphological MRI sequences are usually employed, requiring the deve...
Male Middle Aged Image Processing, Computer-Assisted Aged Aged, 80 and over Adult Magnetic Resonance Imaging Glioblastoma Neuroimaging Humans Neural Networks, Computer Software Prognosis Retrospective Studies Female
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Smoothing dense spaces for improved relation extraction between drugs and adverse reactions.

International journal of medical informatics May 13, 2019
BACKGROUND AND OBJECTIVE: This work aims at extracting Adverse Drug Reactions (ADRs), i.e. a harm directly caused by a drug at normal doses, from Electronic Health Records (EHRs). The lack of readily available EHRs because of confidentiality issues a...
Humans Electronic Health Records Natural Language Processing Drug-Related Side Effects and Adverse Reactions Semantics Adverse Drug Reaction Reporting Systems
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Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.

International journal of medical informatics May 13, 2019
BACKGROUND: The management of hypertrophic cardiomyopathy (HCM) patients requires the knowledge of risk factors associated with sudden cardiac death (SCD). SCD risk factors such as syncope and family history of SCD (FH-SCD) as well as family history ...
Cardiomyopathy, Hypertrophic Death, Sudden, Cardiac Male Electronic Health Records Humans Female Middle Aged Algorithms Risk Factors Natural Language Processing Prognosis
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Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning.

International journal of medical informatics May 12, 2019
BACKGROUND AND OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous disorder. Research has explored potential ASD subgroups with preliminary evidence supporting the existence of behaviorally and genetically distinct subgroups; however, resear...
Child Cluster Analysis Unsupervised Machine Learning Humans Female Male Prognosis Child, Preschool Phenotype Retrospective Studies Autism Spectrum Disorder
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Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.

International journal of medical informatics May 7, 2019
BACKGROUND: Approximately 10%-15% of patients with breast cancer die of cancer metastasis or recurrence, and early diagnosis of it can improve prognosis. Breast cancer outcomes may be prognosticated on the basis of surface markers of tumor cells and ...
Machine Learning Algorithms Biomarkers Humans Middle Aged Cohort Studies ROC Curve Bayes Theorem Prognosis Female Breast Neoplasms
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A novel deep learning based automatic auscultatory method to measure blood pressure.

International journal of medical informatics Apr 29, 2019
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.
Middle Aged Deep Learning Blood Pressure Determination Young Adult Humans Neural Networks, Computer Algorithms Female Blood Pressure Automation Stethoscopes Adult Male
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The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

International journal of medical informatics Apr 13, 2019
OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific diagnosis code for local reaction due to vaccination. Previous vaccine safety studies used non-specific diagnosis codes to identify potential local rea...
Whooping Cough Diphtheria-Tetanus-acellular Pertussis Vaccines Child Humans Vaccination Female Natural Language Processing Male
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Smooth Bayesian network model for the prediction of future high-cost patients with COPD.

International journal of medical informatics Apr 4, 2019
INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute exacerbation events that increase hospitalization rates and healthcare spending. The early identification of future high-cost patients with COPD may ...
Disease Progression Support Vector Machine Bayes Theorem Cost of Illness Male Middle Aged Risk Assessment Humans Hospitalization Machine Learning Aged Female Pulmonary Disease, Chronic Obstructive
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BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.

International journal of medical informatics Apr 1, 2019
BACKGROUND AND OBJECTIVE: The condition of vessel of the human eye is an important factor for the diagnosis of ophthalmological diseases. Vessel segmentation in fundus images is a challenging task due to complex vessel structure, the presence of simi...
Humans Neural Networks, Computer Retinal Vessels Algorithms Fundus Oculi Supervised Machine Learning
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