AIMC Topic: Humans

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ECG Multilead Interval Estimation Using Support Vector Machines.

Journal of healthcare engineering Apr 15, 2019
This work reports a multilead interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including detection as well as an accurate multilead interval detection algorithm using sup...
Support Vector Machine Humans Signal Processing, Computer-Assisted Databases, Factual Arrhythmias, Cardiac Heart Rate Cardiovascular Diseases Analysis of Variance Software Case-Control Studies Algorithms Diagnosis, Computer-Assisted Electrocardiography
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Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BioMed research international Apr 15, 2019
BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive ...
Patient Discharge Models, Biological Patient Readmission Female ROC Curve Risk Factors Support Vector Machine Humans Male Predictive Value of Tests Machine Learning Child
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Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study.

PloS one Apr 15, 2019
BACKGROUND: The postmortem microbiome can provide valuable information to a death investigation and to the human health of the once living. Microbiome sequencing produces, in general, large multi-dimensional datasets that can be difficult to analyze ...
Datasets as Topic DNA, Archaeal Adult Cross-Sectional Studies Autopsy Male High-Throughput Nucleotide Sequencing Time Factors Postmortem Changes RNA, Ribosomal, 16S DNA, Bacterial Female Sequence Analysis, DNA Aged Microbiota Middle Aged Humans Aged, 80 and over Adolescent Machine Learning Young Adult
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Hypercomplex extreme learning machine with its application in multispectral palmprint recognition.

PloS one Apr 15, 2019
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest d...
Middle Aged Pattern Recognition, Automated Dermatoglyphics Young Adult Adult Male Humans Algorithms Female Neural Networks, Computer Machine Learning
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Duplicate portion sampling gives the most accurate iron intake estimate: Implications for iron status of female students.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition Apr 15, 2019
Iron deficiency (ID) is one of the most common nutritional problems in the developing world, affecting primarily women of childbearing age. Poor dietary iron intake is a major reason of ID. Accurate measurement of iron intake is of crucial importance...
Nutritional Status Adult Humans Iron, Dietary Diet Female Students Young Adult
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Dense networks with relative location awareness for thorax disease identification.

Medical physics Apr 14, 2019
PURPOSE: Chest X-ray is one of the most common examinations for diagnosing heart and lung diseases. Due to the existing of a large number of clinical cases, many automated diagnosis algorithms based on chest X-ray images have been proposed. To our kn...
Humans Neural Networks, Computer Algorithms Databases, Factual Lung Diseases Pattern Recognition, Automated Diagnosis, Computer-Assisted Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Thoracic Diseases
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Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules.

BioMed research international Apr 14, 2019
The arterioles and venules (AV) classification of retinal vasculature is considered as the first step in the development of an automated system for analysing the vasculature biomarker association with disease prognosis. Most of the existing AV classi...
Humans Neural Networks, Computer Algorithms Retinal Vessels Arterioles Biomarkers Deep Learning Venules
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Machine Learning Analysis of Matricellular Proteins and Clinical Variables for Early Prediction of Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.

Molecular neurobiology Apr 13, 2019
Although delayed cerebral ischemia (DCI) is a well-known complication after subarachnoid hemorrhage (SAH), there are no reliable biomarkers to predict DCI development. Matricellular proteins (MCPs) have been reported relevant to DCI and expected to b...
Models, Biological Intracranial Aneurysm Female Subarachnoid Hemorrhage Humans Aged Brain Ischemia Machine Learning Male Algorithms
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Hybrid model for efficient prediction of poly(A) signals in human genomic DNA.

Methods (San Diego, Calif.) Apr 13, 2019
Polyadenylation signals (PAS) are found in most protein-coding and some non-coding genes in eukaryotes. Their accurate recognition improves understanding gene regulation mechanisms and recognition of the 3'-end of transcribed gene regions where prema...
Humans Proteins Genome, Human Poly A Polyadenylation Neural Networks, Computer Software Genomics
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Learning to Talk Again in a Voice-First World.

Journal of the American College of Radiology : JACR Apr 13, 2019
Radiology Speech Recognition Software Therapy, Computer-Assisted Artificial Intelligence Delivery of Health Care Humans
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