AIMC Topic: Machine Learning

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Gender Estimation from Morphometric Measurements of Mandibular Lingula by Using Machine Learning Algorithms and Artificial Neural Networks.

Nigerian journal of clinical practice Jun 29, 2024
BACKGROUND: Sex determination from the bones is of great importance for forensic medicine and anthropology. The mandible is highly valued because it is the strongest, largest and most dimorphic bone in the skull.
Imaging, Three-Dimensional Mandible Sex Determination by Skeleton Middle Aged Adolescent Cone-Beam Computed Tomography Machine Learning Algorithms Retrospective Studies Adult Male Female Young Adult Humans Neural Networks, Computer
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Machine learning-enabled colorimetric sensors for foodborne pathogen detection.

Advances in food and nutrition research Jun 29, 2024
In the past decade, there have been various advancements to colorimetric sensors to improve their potential applications in food and agriculture. One application of growing interest is sensing foodborne pathogens. There are unique considerations for ...
Food Safety Biosensing Techniques Humans Food Microbiology Machine Learning Foodborne Diseases Colorimetry
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pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization.

Journal of pharmacokinetics and pharmacodynamics Jun 28, 2024
Forward addition/backward elimination (FABE) has been the standard for population pharmacokinetic model selection (PPK) since NONMEM® was introduced. We investigated five machine learning (ML) algorithms (Genetic algorithm [GA], Gaussian process [GP]...
Computer Simulation Models, Biological Nonlinear Dynamics Pharmacokinetics Humans Machine Learning Algorithms
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LightGBM is an Effective Predictive Model for Postoperative Complications in Gastric Cancer: A Study Integrating Radiomics with Ensemble Learning.

Journal of imaging informatics in medicine Jun 28, 2024
Postoperative complications of radical gastrectomy seriously affect postoperative recovery and require accurate risk prediction. Therefore, this study aimed to develop a prediction model specifically tailored to guide perioperative clinical decision-...
Postoperative Complications Female Algorithms Gastrectomy Aged Retrospective Studies Male Stomach Neoplasms Tomography, X-Ray Computed Radiomics Adult Middle Aged Humans Neural Networks, Computer Machine Learning
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Machine learning methods for unveiling the potential of antioxidant short peptides in goat milk-derived proteins during in vitro gastrointestinal digestion.

Journal of dairy science Jun 28, 2024
Milk serves as an important dietary source of bioactive peptides, offering notable benefits to individuals. Among the antioxidant short peptides (di- and tripeptides) generated from gastrointestinal digestion are characterized by enhanced bioavailabi...
Milk Proteins Goats Milk Digestion Animals Peptides Machine Learning Antioxidants
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Biological computation through recurrence.

Biochemical and biophysical research communications Jun 28, 2024
One of the defining features of living systems is their adaptability to changing environmental conditions. This requires organisms to extract temporal and spatial features of their environment, and use that information to compute the appropriate resp...
Humans Neural Networks, Computer Animals Biological Evolution Machine Learning Models, Neurological Algorithms Brain
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Application of machine learning in the study of development, behavior, nerve, and genotoxicity of zebrafish.

Environmental pollution (Barking, Essex : 1987) Jun 28, 2024
Machine learning (ML) as a novel model-based approach has been used in studying aquatic toxicology in the environmental field. Zebrafish, as an ideal model organism in aquatic toxicology research, has been widely used to study the toxic effects of va...
Machine Learning Animals Toxicity Tests Behavior, Animal Water Pollutants, Chemical Zebrafish
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A machine learning tool for identifying patients with newly diagnosed diabetes in primary care.

Primary care diabetes Jun 28, 2024
BACKGROUND AND AIM: It is crucial to identify a diabetes diagnosis early. Create a predictive model utilizing machine learning (ML) to identify new cases of diabetes in primary health care (PHC).
Early Diagnosis Primary Health Care Diabetes Mellitus Predictive Value of Tests Aged Adult Male Case-Control Studies Diagnosis, Computer-Assisted Middle Aged Risk Assessment Biomarkers Female Risk Factors Humans Machine Learning Decision Support Techniques
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Machine learning for the prediction of delirium in elderly intensive care unit patients.

European geriatric medicine Jun 28, 2024
PURPOSE: This study aims to develop and validate a prediction model for delirium in elderly ICU patients and help clinicians identify high-risk patients at the early stage.
Machine Learning Intensive Care Units Female Risk Factors Humans Risk Assessment ROC Curve Logistic Models Delirium Aged Aged, 80 and over Male
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An eco-friendly approach for analysing sugars, minerals, and colour in brown sugar using digital image processing and machine learning.

Food research international (Ottawa, Ont.) Jun 28, 2024
Brown sugar is a natural sweetener obtained by thermal processing, with interesting nutritional characteristics. However, it has significant sensory variability, which directly affects product quality and consumer choice. Therefore, developing rapid ...
Sweetening Agents Machine Learning Minerals Algorithms Sucrose Image Processing, Computer-Assisted Food Analysis Sugars Color Smartphone
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