AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 1041 to 1050 of 1118 articles

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records.

IEEE journal of biomedical and health informatics Oct 8, 2014
The free text in electronic health records (EHRs) conveys a huge amount of clinical information about health state and patient history. Despite a rapidly growing literature on the use of machine learning techniques for extracting this information, li...
Support Vector Machine Cluster Analysis Medical Informatics Anastomotic Leak Humans Electronic Health Records Colorectal Neoplasms
View on PubMed DOI

Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.

IEEE journal of biomedical and health informatics Aug 20, 2014
Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associated with risk factors for various diseases and are related to anthropometric measures. However, controversy remains regarding the best anthropometric...
Humans Machine Learning Young Adult Adult Cross-Sectional Studies Male Female Aged Aged, 80 and over Data Mining Anthropometry Lipoproteins, HDL Middle Aged Models, Statistical Lipoproteins, LDL
View on PubMed DOI

Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare.

IEEE journal of biomedical and health informatics Jul 30, 2014
Machine learning is being used in a wide range of application domains to discover patterns in large datasets. Increasingly, the results of machine learning drive critical decisions in applications related to healthcare and biomedicine. Such health-re...
Machine Learning Algorithms Databases, Factual Medical Informatics Neoplasms Humans Computer Security Models, Theoretical
View on PubMed DOI

An ontology-based annotation of cardiac implantable electronic devices to detect therapy changes in a national registry.

IEEE journal of biomedical and health informatics Jul 11, 2014
The patient population benefitting from cardiac implantable electronic devices (CIEDs) is increasing. This study introduces a device annotation method that supports the consistent description of the functional attributes of cardiac devices and evalua...
Electronics, Medical Pacemaker, Artificial Biological Ontologies Diagnostic Techniques, Cardiovascular Data Curation Humans User-Computer Interface Registries Medical Informatics Decision Support Systems, Clinical Prostheses and Implants
View on PubMed DOI

Rule extraction from support vector machines using ensemble learning approach: an application for diagnosis of diabetes.

IEEE journal of biomedical and health informatics May 19, 2014
Diabetes mellitus is a chronic disease and a worldwide public health challenge. It has been shown that 50-80% proportion of T2DM is undiagnosed. In this paper, support vector machines are utilized to screen diabetes, and an ensemble learning module i...
Adult Artificial Intelligence Decision Trees Diagnosis, Computer-Assisted Databases, Factual Adolescent Diabetes Mellitus Humans Reproducibility of Results Support Vector Machine Young Adult
View on PubMed DOI

Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

IEEE journal of biomedical and health informatics Apr 21, 2014
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in...
Subtraction Technique Female Transducers Reproducibility of Results Thermography Aged Geriatric Assessment Humans Actigraphy Activities of Daily Living Artificial Intelligence Male Pattern Recognition, Automated Sensitivity and Specificity Motor Activity Algorithms Models, Genetic Accelerometry Electrocardiography, Ambulatory
View on PubMed DOI

Stroke parameters identification algorithm in handwriting movements analysis by synthesis.

IEEE journal of biomedical and health informatics Apr 21, 2014
This paper presents a new approach to identify the stroke parameters in handwriting movement data understanding. A two-step analysis by synthesis paradigm is employed to facilitate the coarse-to-fine parameter identification for all strokes. One is t...
Algorithms Reproducibility of Results Sensitivity and Specificity Task Performance and Analysis Biometry Hand Pattern Recognition, Automated Humans Artificial Intelligence Movement Handwriting
View on PubMed DOI

Aggregate features in multisample classification problems.

IEEE journal of biomedical and health informatics Apr 2, 2014
This paper evaluates the classification of multisample problems, such as electromyographic (EMG) data, by making aggregate features available to a per-sample classifier. It is found that the accuracy of this approach is superior to that of traditiona...
Pattern Recognition, Automated Bayes Theorem Signal Processing, Computer-Assisted Electromyography Machine Learning Algorithms Decision Support Systems, Clinical Humans
View on PubMed DOI

A multistaged automatic restoration of noisy microscopy cell images.

IEEE journal of biomedical and health informatics Feb 10, 2014
Automated cell segmentation for microscopy cell images has recently become an initial step for further image analysis in cell biology. However, microscopy cell images are easily degraded by noise during the readout procedure via optical-electronic im...
Image Interpretation, Computer-Assisted Sensitivity and Specificity Artificial Intelligence Artifacts Data Interpretation, Statistical Signal-To-Noise Ratio Algorithms Yeasts Microscopy Pattern Recognition, Automated Reproducibility of Results Image Enhancement Cell Tracking
View on PubMed DOI

Multi-Objective Evolutionary Optimization Boosted Deep Neural Networks for Few-Shot Medical Segmentation With Noisy Labels.

IEEE journal of biomedical and health informatics Jun 1, 2025
Fully-supervised deep neural networks have achieved remarkable progress in medical image segmentation, yet they heavily rely on extensive manually labeled data and exhibit inflexibility for unseen tasks. Few-shot segmentation (FSS) addresses these is...
Brain Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Popular Journals