AIMC Topic: Ensemble Learning

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Improving genetic variant identification for quantitative traits using ensemble learning-based approaches.

BMC genomics Mar 12, 2025
BACKGROUND: Genome-wide association studies (GWAS) are rapidly advancing due to the improved resolution and completeness provided by Telomere-to-Telomere (T2T) and pangenome assemblies. While recent advancements in GWAS methods have primarily focused...
Quantitative Trait, Heritable Genetic Variation Quantitative Trait Loci Ensemble Learning Genome-Wide Association Study Humans Polymorphism, Single Nucleotide Machine Learning Phenotype
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MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer's disease diagnosis.

Computer methods and programs in biomedicine Mar 7, 2025
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) significantly threatens community well-being and healthcare resource allocation due to its high incidence and mortality. Therefore, early detection and intervention are crucial for reducing AD-relate...
Alzheimer Disease Ensemble Learning Machine Learning Algorithms Deep Learning Humans Magnetic Resonance Imaging Neural Networks, Computer
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A deep ensemble learning approach for squamous cell classification in cervical cancer.

Scientific reports Mar 1, 2025
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to the vagina-poses a significant health threat. The microscopic examination of cervical cells using Pap smear techniques plays a crucial role in identif...
Humans Neural Networks, Computer Female Papanicolaou Test Vaginal Smears Carcinoma, Squamous Cell Cervix Uteri Uterine Cervical Neoplasms Ensemble Learning Deep Learning
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Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging.

Scientific reports Feb 10, 2025
Ensemble learning can effectively mitigate the risk of model overfitting during training. This study aims to evaluate the performance of ensemble learning models in predicting tumor deposits in rectal cancer (RC) and identify the optimal model for pr...
Female Aged Adult Male Rectal Neoplasms Middle Aged Humans Ensemble Learning ROC Curve Machine Learning Magnetic Resonance Imaging
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Factors associated with underweight, overweight, and obesity in Chinese children aged 3-14 years using ensemble learning algorithms.

Journal of global health Feb 7, 2025
BACKGROUND: Factors underlying the development of childhood underweight, overweight, and obesity are not fully understood. Traditional models have drawbacks in handling large-scale, high-dimensional, and nonlinear data. In this study, we aimed to ide...
Ensemble Learning Overweight Machine Learning Body Mass Index Algorithms East Asian People Female Thinness Child, Preschool Risk Factors China Humans Child Male Adolescent Pediatric Obesity
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A deep ensemble learning framework for glioma segmentation and grading prediction.

Scientific reports Feb 6, 2025
The segmentation and risk grade prediction of gliomas based on preoperative multimodal magnetic resonance imaging (MRI) are crucial tasks in computer-aided diagnosis. Due to the significant heterogeneity between and within tumors, existing methods ma...
Humans Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Neoplasm Grading Brain Neoplasms Diagnosis, Computer-Assisted Deep Learning Ensemble Learning
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Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients.

The journal of prevention of Alzheimer's disease Feb 5, 2025
OBJECTIVE: Due to the recognition for the importance of early intervention in Alzheimer's disease (AD), it is important to focus on prevention and treatment strategies for mild cognitive impairment (MCI). This study aimed to establish a risk predicti...
Alzheimer Disease Proportional Hazards Models Ensemble Learning Aged, 80 and over Male Risk Assessment Cognitive Dysfunction Female Risk Factors Aged Humans Machine Learning
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REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset.

Computers in biology and medicine Feb 5, 2025
Early diagnosis and timely treatment of diabetes are critical for effective disease management and the prevention of complications. Undiagnosed diabetes can lead to an increased risk of several health issues. Although numerous machine learning (ML) m...
Algorithms Databases, Factual Humans Machine Learning Diabetes Mellitus, Type 2 Ensemble Learning Female Early Diagnosis Adult Male
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016-2019.

BMC pregnancy and childbirth Feb 5, 2025
BACKGROUND: A birth interval of less than 33 months was considered short, and in low- income countries like Ethiopia, a short birth interval is the primary cause of approximately 822 maternal deaths every day. Due to that this study aimed to predict ...
Ethiopia Ensemble Learning Birth Intervals Adult Middle Aged Adolescent Humans Machine Learning Female Young Adult Algorithms Pregnancy
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Integrating neuroscience and artificial intelligence: EEG analysis using ensemble learning for diagnosis Alzheimer's disease and frontotemporal dementia.

Journal of neuroscience methods Jan 31, 2025
BACKGROUND: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are both progressive neurological disorders that affect the elderly. Distinguishing between individuals suffering from these two diseases in the early stages can be quite challeng...
Neurosciences Algorithms Humans Male Signal Processing, Computer-Assisted Frontotemporal Dementia Female Middle Aged Artificial Intelligence Ensemble Learning Alzheimer Disease Aged Electroencephalography Machine Learning
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