AIMC Topic:
Cluster Analysis

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SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level.

IEEE computer graphics and applications Jan 1, 2022
Understanding the interpretation of machine learning (ML) models has been of paramount importance when making decisions with societal impacts, such as transport control, financial activities, and medical diagnosis. While local explanation techniques ...
Machine Learning Cluster Analysis
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Introduction to Machine Learning in Neuroimaging.

Acta neurochirurgica. Supplement Jan 1, 2022
Advancements in neuroimaging and the availability of large-scale datasets enable the use of more sophisticated machine learning algorithms. In this chapter, we non-exhaustively discuss relevant analytical steps for the analysis of neuroimaging data u...
Machine Learning Algorithms Cluster Analysis Neuroimaging
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Machine Learning-Based Clustering Analysis: Foundational Concepts, Methods, and Applications.

Acta neurochirurgica. Supplement Jan 1, 2022
Unsupervised learning, the task of clustering observations in such a way that observations within cluster are more similar than those assigned to other clusters is one the central tasks of data science. Its exploratory and descriptive nature make it ...
Machine Learning Cluster Analysis
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Hubness weighted SVM ensemble for prediction of breast cancer subtypes.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2022
BACKGROUND: Breast cancer is a major disease causing panic among women worldwide. Since gene mutations are the root cause for cancer development, analyzing gene expressions can give more insights into various phenotype of cancer treatments. Breast Ca...
Breast Neoplasms Humans Cluster Analysis Algorithms Machine Learning Support Vector Machine Female
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Segmentation of acetowhite region in uterine cervical image based on deep learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2022
BACKGROUND: Acetowhite (AW) region is a critical physiological phenomenon of precancerous lesions of cervical cancer. An accurate segmentation of the AW region can provide a useful diagnostic tool for gynecologic oncologists in screening cervical can...
Uterine Cervical Neoplasms Humans Image Processing, Computer-Assisted Cluster Analysis Algorithms Female Deep Learning
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Fully unsupervised deep mode of action learning for phenotyping high-content cellular images.

Bioinformatics (Oxford, England) Dec 7, 2021
MOTIVATION: The identification and discovery of phenotypes from high content screening images is a challenging task. Earlier works use image analysis pipelines to extract biological features, supervised training methods or generate features with neur...
Image Processing, Computer-Assisted Cluster Analysis Neural Networks, Computer Algorithms
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Novel strategy for applying hierarchical density-based spatial clustering of applications with noise towards spectroscopic analysis and detection of melanocytic lesions.

Melanoma research Dec 1, 2021
Advancements in dermoscopy techniques have elucidated identifiable characteristics of melanoma which revolve around the asymmetrical constitution of melanocytic lesions consequent of unfettered proliferative growth as a malignant lesion. This study e...
Magnetic Resonance Spectroscopy Melanocytes Skin Neoplasms Cluster Analysis Machine Learning Melanoma Humans
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XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data.

Briefings in bioinformatics Nov 5, 2021
The lack of explainability is one of the most prominent disadvantages of deep learning applications in omics. This 'black box' problem can undermine the credibility and limit the practical implementation of biomedical deep learning models. Here we pr...
Neoplasms Databases, Genetic Machine Learning Humans Gene Expression Profiling Biomarkers, Tumor Cluster Analysis Computational Biology Male Deep Learning Algorithms Area Under Curve Signal Transduction Female ROC Curve Reproducibility of Results Gene Regulatory Networks Genomics
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Phenotypic Characterization of Chronic Kidney Patients Through Hierarchical Clustering.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Chronic kidney disease is a major public health problem around the world and this disease early diagnosis is still a great challenge as it is asymptomatic in its early stages. Thus, in order to identify variables capable of assisting CKD diagnosis an...
Renal Insufficiency, Chronic Machine Learning Cluster Analysis Unsupervised Machine Learning Humans Kidney
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Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis.

Family medicine and community health Nov 1, 2021
Qualitative research remains underused, in part due to the time and cost of annotating qualitative data (coding). Artificial intelligence (AI) has been suggested as a means to reduce those burdens, and has been used in exploratory studies to reduce t...
Reproducibility of Results Qualitative Research Artificial Intelligence Machine Learning Cluster Analysis Humans
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