AIMC Topic: Machine Learning

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Predicting 'Brainage' in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning.

Scientific reports Sep 20, 2023
Brain development is regularly studied using structural MRI. Recently, studies have used a combination of statistical learning and large-scale imaging databases of healthy children to predict an individual's age from structural MRI. This data-driven,...
Benchmarking Healthy Volunteers Humans Machine Learning Databases, Factual Child Magnetic Resonance Imaging Adolescent
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The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database.

Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale Sep 20, 2023
BACKGROUND: A multidimensional voice quality assessment is recommended for all patients with dysphonia, which requires a patient visit to the otolaryngology clinic. The aim of this study was to determine the accuracy of an online artificial intellige...
Machine Learning Algorithms Databases, Factual Databases as Topic Humans Artificial Intelligence Voice Quality Dysphonia Southeast Asian People
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Enhancing the clinical relevance of haemorrhage prediction models in trauma.

Military Medical Research Sep 20, 2023
Emergency Medical Services Hemorrhage Artificial Intelligence Machine Learning Clinical Relevance Humans
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Current methods for multi-target drug discovery in early anticancer research: the rise of the perturbation-theory machine learning approach.

Future medicinal chemistry Sep 20, 2023
Machine Learning Drug Discovery
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Donor activity is associated with US legislators' attention to political issues.

PloS one Sep 20, 2023
Campaign contributions are a staple of congressional life. Yet, the search for tangible effects of congressional donations often focuses on the association between contributions and votes on congressional bills. We present an alternative approach by ...
Metadata Humans Politics Policy Machine Learning Tissue Donors
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Comparison between linear regression and four different machine learning methods in selecting risk factors for osteoporosis in a Chinese female aged cohort.

Journal of the Chinese Medical Association : JCMA Sep 19, 2023
BACKGROUND: Population aging is emerging as an increasingly acute challenge for countries around the world. One particular manifestation of this phenomenon is the impact of osteoporosis on individuals and national health systems. Previous studies of ...
Linear Models Taiwan Bayes Theorem Risk Assessment East Asian People Machine Learning Humans Osteoporosis Risk Factors Female Middle Aged
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Predicting pathogenic protein variants.

Science (New York, N.Y.) Sep 19, 2023
Machine-learning algorithm uses structure prediction to spot disease-causing mutations.
Algorithms Sequence Analysis, DNA Genetic Variation Machine Learning Mutation, Missense Mutant Proteins Protein Conformation Disease
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Predicting carcass tissue composition in Blackbelly sheep using ultrasound measurements and machine learning methods.

Tropical animal health and production Sep 19, 2023
This study aimed to predict Blackbelly sheep carcass tissue composition using ultrasound measurements and machine learning models. The models evaluated were decision trees, random forests, support vector machines, and multi-layer perceptrons and were...
Neural Networks, Computer Machine Learning Random Forest Sheep Muscles Animals Ultrasonography
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Machine Learning in Spine Surgery: A Narrative Review.

Neurosurgery Sep 18, 2023
Artificial intelligence and machine learning (ML) can offer revolutionary advances in their application to the field of spine surgery. Within the past 5 years, novel applications of ML have assisted in surgical decision-making, intraoperative imaging...
Humans Spine Artificial Intelligence Machine Learning Surgeons
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XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm.

Journal of biomolecular structure & dynamics Sep 18, 2023
Determining the structure-odor relationship has always been a very challenging task. The main challenge in investigating the correlation between the molecular structure and its associated odor is the ambiguous and obscure nature of verbally defined o...
Smell Quantitative Structure-Activity Relationship Machine Learning Algorithms Molecular Structure Models, Molecular Odorants
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