AIMC Topic: Principal Component Analysis

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Predicting maternal risk level using machine learning models.

BMC pregnancy and childbirth Dec 18, 2024
BACKGROUND: Maternal morbidity and mortality remain critical health concerns globally. As a result, reducing the maternal mortality ratio (MMR) is part of goal 3 in the global sustainable development goals (SDGs), and previously, it was an important ...
Humans Neural Networks, Computer Machine Learning Algorithms Principal Component Analysis Bayes Theorem Oman Maternal Mortality Risk Assessment Logistic Models Support Vector Machine Pregnancy Female Adult
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Rapid and high accuracy identification of culture medium by CNN of Raman spectra.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 16, 2024
Culture media are widely used for biological research and production. It is essential for the growth of microorganisms, cells, or tissues. It includes complex components like carbohydrates, proteins, vitamins, and minerals. The media's consistency is...
Culture Media Principal Component Analysis Neural Networks, Computer Spectrum Analysis, Raman
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A rapid, non-destructive, and accurate method for identifying citrus granulation using Raman spectroscopy and machine learning.

Journal of food science Dec 10, 2024
Citrus fruits are widely consumed for their nutritional value and taste; however, juice sac granulation during fruit storage poses a significant challenge to the citrus industry. This study used Raman spectroscopy coupled with machine learning algori...
Spectrum Analysis, Raman Principal Component Analysis Least-Squares Analysis Machine Learning Algorithms Citrus Discriminant Analysis Fruit Fruit and Vegetable Juices
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Novel concept for the healthy population influencing factors.

Frontiers in public health Dec 10, 2024
In the rapid urbanization process in China, due to reasons such as employment, education, and family reunification, the number of mobile population without registered residence in the local area has increased significantly. By 2020, the group had a p...
Transients and Migrants Principal Component Analysis China Humans Socioeconomic Factors Machine Learning Health Status Public Health
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Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?

International journal of legal medicine Dec 7, 2024
Fall from a height trauma is characterized by a multiplicity of injuries, related to multiple factors. The height of the fall is the factor that most influences the kinetic energy of the body and appears to be one of the factors that most affects the...
Humans Artificial Intelligence Principal Component Analysis Linear Models Accidental Falls Adult Female Machine Learning Adolescent Male Wounds and Injuries Aged Algorithms Decision Trees Middle Aged Young Adult Retrospective Studies
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Early colorectal cancer detection: a serum analysis platform combining SERS and machine learning.

Analytical methods : advancing methods and applications Dec 5, 2024
Colorectal cancer (CRC) is one of the deadliest malignancies globally, with high incidence and mortality rates. Early detection is crucial for improving treatment success rates and patient survival. However, due to the difficulty in detecting early s...
Machine Learning Colorectal Neoplasms Animals Principal Component Analysis Gold Metal Nanoparticles Mice Spectrum Analysis, Raman Early Detection of Cancer
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Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach.

PloS one Dec 5, 2024
The classification of land cover objects in hyperspectral imagery (HSI) has significantly advanced due to the development of convolutional neural networks (CNNs). However, challenges such as limited training data and high dimensionality negatively im...
Hyperspectral Imaging Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Principal Component Analysis
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Assessing Locomotive Syndrome Through Instrumented Five-Time Sit-to-Stand Test and Machine Learning.

Sensors (Basel, Switzerland) Dec 3, 2024
Locomotive syndrome (LS) refers to a condition where individuals face challenges in performing activities of daily living. Early detection of such deterioration is crucial to reduce the need for nursing care. The Geriatric Locomotive Function Scale (...
Sitting Position Middle Aged Principal Component Analysis Young Adult Syndrome Humans Adult Female Activities of Daily Living Machine Learning Male Aged Locomotion Aged, 80 and over Accelerometry
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine.

Scientific reports Nov 29, 2024
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. For mass fundus image-based glaucoma classification, an improved automated computer-aided ...
Machine Learning Algorithms Diagnosis, Computer-Assisted Principal Component Analysis Humans Retina Glaucoma
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Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks.

Environmental monitoring and assessment Nov 27, 2024
To ensure operational efficiency, promote sustainable wastewater treatment practices, and maintain compliance with environmental regulations, it is crucial to evaluate the parameters of treated effluent in wastewater treatment plants (WWTPs). Artific...
Biological Oxygen Demand Analysis Environmental Monitoring Water Pollutants, Chemical Principal Component Analysis Machine Learning Wastewater Waste Disposal, Fluid Neural Networks, Computer
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