AIMC Topic: Machine Learning
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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults.
Scientific reports
Jul 9, 2025
Multimorbidity has emerged as a significant public health issue in the context of global population aging. Predicting and managing the progression of multimorbidity in the elderly population is crucial. This study aims to develop predictive models fo...
Exploring explainable machine learning algorithms to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023.
Scientific reports
Jul 9, 2025
Tobacco smoking is a significant public health issue in sub-Saharan Africa, with its prevalence shaped by various demographic factors. This study aimed to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023 using mach...
Machine learning for synchronous bone metastasis risk prediction in high grade lung neuroendocrine carcinoma.
Scientific reports
Jul 9, 2025
Bone metastasis (BM) is common in high-grade lung neuroendocrine tumors (NETs). This study aimed to use multiple machine learning algorithms to exploring the significant factors associated with synchronous BM in these patients. Patients diagnosed wit...
Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.
Nature communications
Jul 9, 2025
Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communities. Effective outbreak management depends on protecting frontline health workers, a key focus of EVD vaccination strategies. IgG specific to the viral...
Predicting time-to-first cancer diagnosis across multiple cancer types.
Scientific reports
Jul 9, 2025
Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. However, predicting ti...
Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key contributors to JIA risk prediction.
RMD open
Jul 9, 2025
BACKGROUND: Previous genome-wide association studies (GWAS) have identified numerous genetic loci associated with juvenile idiopathic arthritis (JIA). However, the functional impact of these variants-particularly on tissue-specific gene expression-an...
Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning-Based Topic Modeling Approach: Exploratory Literature Review.
JMIR public health and surveillance
Jul 9, 2025
BACKGROUND: It remains unclear whether the existing health care services reflect the HIV care continuum, which underscores the need for integrated care beyond viral suppression.
Machine learning-based online web calculator predicts the risk of sarcopenic obesity in older adults.
Aging clinical and experimental research
Jul 9, 2025
BACKGROUND: Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having obesity or sarcopenia alone due to the dual burden of both muscle loss and fat gain. The prevalence of SO is progressively increasing as the population ...
Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches.
PloS one
Jul 9, 2025
A topological index is a numerical value derived from the structure of a molecule or graph that provides useful information about the molecule's physical, chemical, or biological properties. These indices are especially important in chemo-informatics...
Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model.
PloS one
Jul 9, 2025
Intravenous immunoglobulin (IVIG) has been established as the first-line therapy for Kawasaki disease (KD). However, approximately 10%-20% of pediatric patients exhibit IVIG resistance. Current machine learning (ML) models demonstrate suboptimal pred...
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