AIMC Topic: Humans

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Predicting malnutrition in PLWHIV using machine learning in gondar, Ethiopia.

BMC public health
BACKGROUND: Human Immunodeficiency Virus (HIV) continues to be a major global public health challenge, affecting 39.9 million people globally by the end of 2023. Sub-Saharan Africa bears a significant burden, contributing to 67% of cases. Malnutritio...

Automated contouring of gross tumor volume lymph nodes in lung cancer by deep learning.

BMC cancer
PURPOSE: The precise contouring of gross tumor volume lymph nodes (GTVnd) is an essential step in clinical target volume delineation. This study aims to propose and evaluate a deep learning model for segmenting GTVnd specifically in lung cancer, repr...

Neural oscillation mechanisms of repetitive subconcussive impacts: a network study of microstate-specific cross-frequency coupling.

The journal of headache and pain
BACKGROUND: Repetitive subconcussive impacts are linked to headache pathophysiology, yet the role of electroencephalography (EEG) microstates and cross-frequency coupling in repetitive subconcussive (SC) neural alterations remains unclear. This study...

MLGCN-Driver: a cancer driver gene identification method based on multi-layer graph convolutional neural network.

BMC bioinformatics
BACKGROUND: The progression of cancer is driven by the accumulation of mutations in driver genes. Many researches promote to identify cancer driver genes. However, most of them ignore the high-order features in the network.

Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach.

BMC bioinformatics
BACKGROUND: Longitudinal studies often require flexible methodologies for predicting response trajectories based on time-dependent and time-independent covariates. To address the complexities of longitudinal data, this study proposes a novel extensio...

Estimating the peak age of chess players through statistical and machine learning techniques.

Scientific reports
Because chess is played in formal tournaments and competitive environments, it requires physical and mental endurance. This endurance declines as the years progress and can decrease the player's performance. As the player's age increases, elements su...

Temporal single spike coding for effective transfer learning in spiking neural networks.

Scientific reports
In this work, a supervised learning rule based on Temporal Single Spike Coding for Effective Transfer Learning (TS4TL) is presented, an efficient approach for training multilayer fully connected Spiking Neural Networks (SNNs) as classifier blocks wit...

Enhanced image registration based brain tumour segmentation using optical particle swarm intelligence technique with Resnet Inceptionv2 HCNN.

Scientific reports
A brain tumor is the deadliest disease to cause sudden death, affecting billions of people worldwide. Artificial Intelligence (AI) powered technologies play a vital role in screening medical images to identify brain-suspecting tissue regions of attai...

Deep transfer learning based feature fusion model with Bonobo optimization algorithm for enhanced brain tumor segmentation and classification through biomedical imaging.

Scientific reports
The brain tumour (BT) is an aggressive disease among others, which leads to a very short life expectancy. Therefore, early and prompt treatment is the main stage in enhancing patients' quality of life. Biomedical imaging permits the non-invasive eval...

Smart physical activity monitoring for preventing shoulder impingement syndrome.

Scientific reports
Shoulder impingement syndrome (SIS) is a prevalent musculoskeletal condition requiring effective preventive strategies. This study introduces a comprehensive approach to SIS prevention through smart physical activity monitoring. Wearable sensors, inc...