AIMC Topic: Urinalysis
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Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.
Journal of healthcare engineering
Sep 1, 2020
PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clini...
Urinalysis
Physical Examination
Medicine, Chinese Traditional
Models, Statistical
Lipids
Programming Languages
Humans
Data Collection
Software
Neural Networks, Computer
Pattern Recognition, Automated
Algorithms
Artificial Intelligence
Blood Chemical Analysis
Reproducibility of Results
Liver Function Tests
Computer Systems
Aptamer based proteomic pilot study reveals a urine signature indicative of pediatric urinary tract infections.
PloS one
Jul 6, 2020
OBJECTIVE: Current urinary tract infection (UTI) diagnostic strategies that rely on leukocyte esterase have limited accuracy. We performed an aptamer-based proteomics pilot study to identify urine protein levels that could differentiate a culture pro...
Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image.
Journal of medical systems
Oct 23, 2019
Urine sediment recognition is attracting growing interest in the field of computer vision. A multi-view urine cell recognition method based on multi-view deep residual learning is proposed to solve some existing problems, such as multi-view cell gray...
Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.
BMC medical informatics and decision making
Aug 23, 2019
BACKGROUND: A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative culture results. By reducing the ...
Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach.
Scientific reports
Aug 19, 2019
Trichomonas vaginalis (T. vaginalis) detection remains an unsolved problem in using of automated instruments for urinalysis. The study proposes a machine learning (ML)-based strategy to increase the detection rate of T. vaginalis in urine. On the bas...
Automating the Paris System for urine cytopathology-A hybrid deep-learning and morphometric approach.
Cancer cytopathology
Jan 31, 2019
BACKGROUND: The Paris System for Urine Cytopathology (the Paris System) has succeeded in making the analysis of liquid-based urine preparations more reproducible. Any algorithm seeking to automate this system must accurately estimate the nuclear-to-c...
An End-to-End System for Automatic Urinary Particle Recognition with Convolutional Neural Network.
Journal of medical systems
Jul 27, 2018
The urine sediment analysis of particles in microscopic images can assist physicians in evaluating patients with renal and urinary tract diseases. Manual urine sediment examination is labor-intensive, subjective and time-consuming, and the traditiona...
Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman-microscopy-based cytopathology.
Journal of biophotonics
Jul 5, 2018
Hierarchical variants of so-called deep convolutional neural networks (DCNNs) have facilitated breakthrough results for numerous pattern recognition tasks in recent years. We assess the potential of these novel whole-image classifiers for Raman-micro...
Accurate analysis of parabens in human urine using isotope-dilution ultrahigh-performance liquid chromatography-high resolution mass spectrometry.
Journal of pharmaceutical and biomedical analysis
Dec 24, 2017
An analytical method that utilizes isotope-dilution ultrahigh-performance liquid chromatography coupled with hybrid quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS or called UHPLC-HRMS) was developed, and validated to be highly precise and...
Design of a calix[4]arene-functionalized metal-organic framework probe for highly sensitive and selective monitor of hippuric acid for indexing toluene exposure.
Analytica chimica acta
Nov 23, 2017
In the present work, a novel metal-organic framework (MOF) fluorescent probe was prepared by post-synthetic modification of MIL-53-NH(Al) with carboxylatocalix[4]arene (CC[4]A). The introduced CC[4]A could not only enhance the fluorescence performanc...
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