AIMC Topic: Discriminant Analysis

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Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.

Medical & biological engineering & computing Oct 11, 2021
The ubiquitous antimicrobial peptides (AMPs), with a broad range of antimicrobial activities, represent a great promise for combating the multi-drug resistant infections. In this study, using a large and diverse set of AMPs (2638) and non-AMPs (3700)...
Bayes Theorem Discriminant Analysis Pore Forming Cytotoxic Proteins Machine Learning Support Vector Machine
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Localizing category-related information in speech with multi-scale analyses.

PloS one Oct 1, 2021
Measurements of the physical outputs of speech-vocal tract geometry and acoustic energy-are high-dimensional, but linguistic theories posit a low-dimensional set of categories such as phonemes and phrase types. How can it be determined when and where...
Tongue Humans Machine Learning Speech Perception Neural Networks, Computer Algorithms Gestures Speech Discriminant Analysis Acoustics
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Verified the rapid evaluation of the edible safety of wild porcini mushrooms, using deep learning and PLS-DA.

Journal of the science of food and agriculture Aug 26, 2021
BACKGROUND: How to quickly identify poisonous mushrooms is a worldwide problem, because poisonous mushrooms and edible mushrooms have very similar appearances. Even some edible mushrooms must be processed further before they can be eaten. In addition...
Discriminant Analysis Agaricales Deep Learning China Least-Squares Analysis
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Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning.

Scientific reports Aug 12, 2021
Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based behavior recognition sy...
Neural Networks, Computer Machine Learning Wearable Electronic Devices Humans Discriminant Analysis
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Early pregnancy diagnosis of rabbits: A non-invasive approach using Vis-NIR spatially resolved spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 6, 2021
Pregnancy diagnosis is essential for rabbit's reproductive management. The early identification of non-pregnant rabbits allows for earlier re-insemination, increases the service rate, and reduces the laboring interval in commercial operations. The ob...
Algorithms Pregnancy Least-Squares Analysis Discriminant Analysis Spectroscopy, Near-Infrared Rabbits Female Support Vector Machine Bayes Theorem Animals
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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Stroke Rehabilitation Support Vector Machine Decision Trees Discriminant Analysis Patient Discharge Stroke Supervised Machine Learning Aged, 80 and over Male Middle Aged Female Humans Aged Decision Support Techniques Databases, Factual Prognosis
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The application of feature engineering in establishing a rapid and robust model for identifying patients with glioma.

Lasers in medical science Jul 9, 2021
The aim of the study is to evaluate the efficacy of the combination of Raman spectroscopy with feature engineering and machine learning algorithms for detecting glioma patients. In this study, we used Raman spectroscopy technology to collect serum sp...
Algorithms Reproducibility of Results Glioma Humans Discriminant Analysis Support Vector Machine Principal Component Analysis Least-Squares Analysis
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Undersampling bankruptcy prediction: Taiwan bankruptcy data.

PloS one Jul 1, 2021
Machine learning models have increasingly been used in bankruptcy prediction. However, the observed historical data of bankrupt companies are often affected by data imbalance, which causes incorrect prediction, resulting in substantial economic losse...
Taiwan Bayes Theorem Discriminant Analysis Humans Machine Learning Algorithms Bankruptcy
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Spectrofluorometric analysis combined with machine learning for geographical and varietal authentication, and prediction of phenolic compound concentrations in red wine.

Food chemistry May 18, 2021
Fluorescence spectroscopy is rapid, straightforward, selective, and sensitive, and can provide the molecular fingerprint of a sample based on the presence of various fluorophores. In conjunction with chemometrics, fluorescence techniques have been ap...
Vitis Chromatography, High Pressure Liquid Discriminant Analysis Wine Australia Phenols Spectrometry, Fluorescence Machine Learning Food Analysis
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Pure Ion Chromatograms Combined with Advanced Machine Learning Methods Improve Accuracy of Discriminant Models in LC-MS-Based Untargeted Metabolomics.

Molecules (Basel, Switzerland) May 5, 2021
Untargeted metabolomics based on liquid chromatography coupled with mass spectrometry (LC-MS) can detect thousands of features in samples and produce highly complex datasets. The accurate extraction of meaningful features and the building of discrimi...
Machine Learning Data Analysis Algorithms Colonic Neoplasms Male Tandem Mass Spectrometry Chromatography, Liquid Middle Aged Models, Theoretical ROC Curve Principal Component Analysis Humans Metabolomics Discriminant Analysis
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