AIMC Journal:
Scientific reports

Showing 1851 to 1860 of 5371 articles

Factors of acute respiratory infection among under-five children across sub-Saharan African countries using machine learning approaches.

Scientific reports Jul 9, 2024
Symptoms of Acute Respiratory infections (ARIs) among under-five children are a global health challenge. We aimed to train and evaluate ten machine learning (ML) classification approaches in predicting symptoms of ARIs reported by mothers among child...
Child, Preschool Particulate Matter Infant, Newborn Acute Disease Africa South of the Sahara Humans Male Air Pollution Respiratory Tract Infections Machine Learning Infant Female
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Human manipulation strategy when changing object deformability and task properties.

Scientific reports Jul 9, 2024
Robotic literature widely addresses deformable object manipulation, but few studies analyzed human manipulation accounting for different levels of deformability and task properties. We asked participants to grasp and insert rigid and deformable objec...
Young Adult Adult Biomechanical Phenomena Psychomotor Performance Humans Male Algorithms Task Performance and Analysis Hand Strength Female Robotics
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A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning.

Scientific reports Jul 9, 2024
Cerebral aneurysms are a silent yet prevalent condition that affects a significant global population. Their development can be attributed to various factors, presentations, and treatment approaches. The importance of selecting the appropriate treatme...
Intracranial Aneurysm Male Middle Aged Aneurysm, Ruptured Algorithms Female Aged Humans Machine Learning
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European beech spring phenological phase prediction with UAV-derived multispectral indices and machine learning regression.

Scientific reports Jul 9, 2024
Acquiring phenological event data is crucial for studying the impacts of climate change on forest dynamics and assessing the risks associated with the early onset of young leaves. Large-scale mapping of forest phenological timing using Earth observat...
Machine Learning Plant Leaves Climate Change Unmanned Aerial Devices Forests Seasons Fagus
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A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT.

Scientific reports Jul 8, 2024
The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional neural n...
Remote Sensing Technology Telemedicine Deep Learning Heart Rate Wearable Electronic Devices Internet of Things Monitoring, Physiologic Humans Neural Networks, Computer
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Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods.

Scientific reports Jul 8, 2024
Postoperative venous thromboembolic events (VTEs), such as lower extremity deep vein thrombosis (DVT), are major risk factors for gastric cancer (GC) patients following radical gastrectomy. Accurately predicting and managing these risks is crucial fo...
Postoperative Complications Case-Control Studies ROC Curve Logistic Models Venous Thrombosis Gastrectomy Stomach Neoplasms Male Middle Aged Female Machine Learning Risk Factors Retrospective Studies Aged Humans
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Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms.

Scientific reports Jul 8, 2024
Sleep deprivation is a critical issue that affects workers in numerous industries, including construction. It adversely affects workers and can lead to significant concerns regarding their health, safety, and overall job performance. Several studies ...
Adult Male Middle Aged Humans Machine Learning Algorithms Workplace Sleep Deprivation Support Vector Machine Construction Industry Occupational Health
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Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models.

Scientific reports Jul 8, 2024
The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irreparable complications and even death. Artificial intelligence (AI) techniques like machine learning (ML) and deep learning (DL) greatly aid in accurately...
Humans Artificial Intelligence Male Machine Learning ROC Curve Female Middle Aged Intubation, Intratracheal Methanol Adult Deep Learning Iran
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Improving prediction of blood cancer using leukemia microarray gene data and Chi2 features with weighted convolutional neural network.

Scientific reports Jul 7, 2024
Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment. The present diagnostic method, which involves a battery of tests and medical experts, is costly and time-consuming. ...
Neural Networks, Computer Supervised Machine Learning Machine Learning Oligonucleotide Array Sequence Analysis Humans Leukemia Algorithms Hematologic Neoplasms Gene Expression Profiling
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Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI.

Scientific reports Jul 6, 2024
Common beans (CB), a vital source for high protein content, plays a crucial role in ensuring both nutrition and economic stability in diverse communities, particularly in Africa and Latin America. However, CB cultivation poses a significant threat to...
Plant Leaves Africa Plant Diseases Colombia Deep Learning Phaseolus Agriculture
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