AIMC Topic: Young Adult
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Predicting dental caries outcomes in young adults using machine learning approach.
BMC oral health
May 3, 2024
OBJECTIVES: To predict the dental caries outcomes in young adults from a set of longitudinally-obtained predictor variables and identify the most important predictors using machine learning techniques.
Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques.
PloS one
May 3, 2024
BACKGROUND: The global evolution of pre-hospital care systems faces dynamic challenges, particularly in multinational settings. Machine learning (ML) techniques enable the exploration of deeply embedded data patterns for improved patient care and res...
Artificial intelligence improves resident detection of pediatric and young adult upper extremity fractures.
Skeletal radiology
May 2, 2024
PURPOSE: We wished to evaluate if an open-source artificial intelligence (AI) algorithm ( https://www.childfx.com ) could improve performance of (1) subspecialized musculoskeletal radiologists, (2) radiology residents, and (3) pediatric residents in ...
Subject-specific trunk segmental masses prediction for musculoskeletal models using artificial neural networks.
Medical & biological engineering & computing
May 2, 2024
Accurate determination of body segment parameters is crucial for studying human movement and joint forces using musculoskeletal (MSK) models. However, existing methods for predicting segment mass have limited generalizability and sensitivity to body ...
Examining how gamers connect with their avatars to assess their anxiety: A novel artificial intelligence approach.
Acta psychologica
May 2, 2024
Research has supported that a gamer's attachment to their avatar can offer significant insights about their mental health, including anxiety. To assess this hypothesis, longitudinal data from 565 adult and adolescent participants (M = 29.3 years, SD ...
Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis.
JMIR mental health
May 2, 2024
BACKGROUND: There is growing concern around the use of sodium nitrite (SN) as an emerging means of suicide, particularly among younger people. Given the limited information on the topic from traditional public health surveillance sources, we studied ...
Prediction of hospital-acquired influenza using machine learning algorithms: a comparative study.
BMC infectious diseases
May 2, 2024
BACKGROUND: Hospital-acquired influenza (HAI) is under-recognized despite its high morbidity and poor health outcomes. The early detection of HAI is crucial for curbing its transmission in hospital settings.
Amplitude-Time Dual-View Fused EEG Temporal Feature Learning for Automatic Sleep Staging.
IEEE transactions on neural networks and learning systems
May 2, 2024
Electroencephalogram (EEG) plays an important role in studying brain function and human cognitive performance, and the recognition of EEG signals is vital to develop an automatic sleep staging system. However, due to the complex nonstationary charact...
Visual feedbacks influence short-term learning of torque versus motion profile with robotic guidance among young adults.
Human movement science
May 1, 2024
Robotic assistance can improve the learning of complex motor skills. However, the assistance designed and used up to now mainly guides motor commands for trajectory learning, not dynamics learning. The present study explored how a complex motor skill...
Combining serum microRNAs and machine learning algorithms for diagnosing infectious fever after HSCT.
Annals of hematology
May 1, 2024
Infection post-hematopoietic stem cell transplantation (HSCT) is one of the main causes of patient mortality. Fever is the most crucial clinical symptom indicating infection. However, current microbial detection methods are limited. Therefore, timely...
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