AIMC Topic: Cluster Analysis

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An efficient approach on risk factor prediction related to cardiovascular disease around Kumbakonam, Tamil Nadu, India, using unsupervised machine learning techniques.

Scientific reports Feb 13, 2025
Nowadays, human beings suffer from varieties of diseases due to the environmental circumstances and their residing habits. Cardiovascular diseases (CVD) are the leading cause of mortality among all diseases. CVDs are heart-related diseases. In early ...
Cluster Analysis Female Unsupervised Machine Learning Risk Factors Principal Component Analysis Cardiovascular Diseases Male India Humans
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Deep learning-based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data.

Annals of the rheumatic diseases Feb 12, 2025
OBJECTIVES: Primary knee osteoarthritis (KOA) is a heterogeneous disease with clinical and molecular contributors. Biofluids contain microRNAs and metabolites that can be measured by omic technologies. Multimodal deep learning is adept at uncovering ...
Humans Female Aged Male Middle Aged Synovial Fluid MicroRNAs Deep Learning Treatment Outcome Arthroplasty, Replacement, Knee Cluster Analysis Osteoarthritis, Knee Metabolomics
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Addressing imbalanced data classification with Cluster-Based Reduced Noise SMOTE.

PloS one Feb 10, 2025
In recent years, the challenge of imbalanced data has become increasingly prominent in machine learning, affecting the performance of classification algorithms. This study proposes a novel data-level oversampling method called Cluster-Based Reduced N...
Humans Machine Learning Algorithms Female Cluster Analysis
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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients.

BMC pulmonary medicine Feb 8, 2025
BACKGROUND: Identification of distinct clinical phenotypes of diseases can guide personalized treatment. This study aimed to classify hospitalized COVID-19 pneumonia subgroups using an unsupervised machine learning approach.
Proportional Hazards Models Middle Aged Cluster Analysis Unsupervised Machine Learning Aged Male Humans COVID-19 Female SARS-CoV-2 Hospitalization
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Excited state kinetics of tryptophan and NAD(P)H in blood plasma of normal and abnormal liver conditions: A tool to understand the metabolic changes and classification.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 6, 2025
Early diagnosis at the metabolomic level is crucial for the treatment of liver cirrhosis and hepatocellular carcinoma (HCC). In this study, attempts were made to investigate the excited-state kinetics of intrinsic fluorophores, tryptophan and nicotin...
Humans Carcinoma, Hepatocellular Liver Cirrhosis Female Cluster Analysis Adult Middle Aged Male Tryptophan ROC Curve NAD Liver Liver Neoplasms NADP Spectrometry, Fluorescence Kinetics
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Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study.

JMIR medical informatics Feb 5, 2025
BACKGROUND: Modern lifestyle risk factors, like physical inactivity and poor nutrition, contribute to rising rates of obesity and chronic diseases like type 2 diabetes and heart disease. Particularly personalized interventions have been shown to be e...
Female Risk Factors Adult Humans Machine Learning Algorithms Cluster Analysis Obesity Life Style Cross-Sectional Studies Male Middle Aged
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Pyramid contrastive learning for clustering.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2025
With its ability of joint representation learning and clustering via deep neural networks, the deep clustering have gained significant attention in recent years. Despite the considerable progress, most of the previous deep clustering methods still su...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Cluster Analysis
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Deep learning powered single-cell clustering framework with enhanced accuracy and stability.

Scientific reports Feb 3, 2025
Single-cell RNA sequencing (scRNA-seq) has revolutionized the field of cellular diversity research. Unsupervised clustering, a key technique in this exploration, allows for the identification of distinct cell types within a population. Graph-based de...
Sequence Analysis, RNA Deep Learning Cluster Analysis Single-Cell Analysis Humans RNA-Seq Algorithms Gene Expression Profiling
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Robust graph structure learning under heterophily.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2025
A graph is a fundamental mathematical structure in characterizing relations between different objects and has been widely used on various learning tasks. Most methods implicitly assume a given graph to be accurate and complete. However, real data is ...
Humans Neural Networks, Computer Machine Learning Algorithms Deep Learning Cluster Analysis
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scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.

BMC bioinformatics Jan 29, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering new insights into cellular heterogeneity, developmental processes, and disease mechanisms. As scRNA-seq technology advances, its role in modern biology...
Single-Cell Analysis RNA-Seq Computational Biology Humans Sequence Analysis, RNA Gene Expression Profiling Cluster Analysis Deep Learning
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