AIMC Topic: Machine Learning

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Research on egg yolk color detection based on near infrared spectroscopy and machine vision.

Analytical methods : advancing methods and applications
Yolk color is a key indicator of egg quality, as customers prefer eggs with intensely yellow yolks, which also signal nutrient richness. At present, the commonly used method for yolk color detection is to open the eggs and evaluate the yolk color usi...

Development of machine learning-based mpox surveillance models in a learning health system.

Sexually transmitted infections
OBJECTIVES: This study aimed to develop robust machine learning (ML)-based and deep learning (DL)-based models capable of detecting mpox cases for surveillance efforts using clinical notes.

What can we learn from machine learning studies on flow diverter aneurysm embolization? A systematic review.

Journal of neurointerventional surgery
BACKGROUND: As the use of flow diverters has expanded in recent years, predicting successful outcomes has become more challenging for certain aneurysms.

Beyond health: A machine learning analysis of structural barriers to school attainment in Somalia.

PloS one
In fragile states like Somalia, the link between poor health and educational exclusion is critical yet poorly understood. This study uses a novel machine learning approach to identify and rank the most significant barriers to school attendance. We an...

Transfer learning-driven prediction of oil and gaspipeline corrosion rates in small sample scenarios.

PloS one
To ensure the safe operation of oil and gas pipeline systems in complex environments, accurately predicting the corrosion rate of natural gas well pipes is of paramount importance. Given the widespread challenge of pipe corrosion in the oil and gas i...

Optimizing selective breeding of livestock and forage crops to reduce the environmental impacts of grass-based dairy production by combining life cycle assessment and machine learning.

The Science of the total environment
Global demand for ruminant milk-based products is increasing, contributing to increases in associated environmental impacts. Yet, most efforts to reduce the total environmental impact of dairy production are based on livestock breeding and manipulati...

Predicting the Impact of Drug Resistance Mutations on Inhibitor Potency with Molecular Dynamics and Machine Learning.

The journal of physical chemistry. B
Many enzymes are vital drug targets in diseases such as cancer and pathogenic infections; however, mutations can drastically disrupt inhibitor binding to confer resistance. Resistance mutations primarily occur at the inhibitor binding site, but accom...

Machine Learning, Generalization, and Transfer Learning for Predicting the Exceedance of Fecal Indicator Bacteria Thresholds at Beaches.

Environmental science & technology
Beach water testing for fecal indicator bacteria (FIB) is a key element of public health protection for beachgoers. Because the process can be expensive and time-consuming, many beaches are infrequently monitored, putting the health of the public at ...

A machine-learning method for predicting the 1-year risk of death in maintenance hemodialysis patients based on continuous compliance with dialysis quality indicators.

BMC nephrology
OBJECTIVE: To establish a 1-year mortality risk prediction model for maintenance hemodialysis (HD) patients using machine learning method based on the continuous assessment methods of dialysis quality indicators.