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DNA-methylome-assisted classification of patients with poor prognostic subventricular zone associated IDH-wildtype glioblastoma
Glioblastoma (GBM) derived from the “stem cell” rich subventricular zone (SVZ) may constitute a therapy-refractory subgroup of tumors associated with...
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Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle
BackgroundDiffuse large B-cell lymphoma (DLBCL) exhibits remarkable heterogeneity but still remains undiagnosed in identifying the subpopulation of...
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Binary polyp-size classification based on deep-learned spatial information
PurposeThe size information of detected polyps is an essential factor for diagnosis in colon cancer screening. For example, adenomas and sessile...
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Teleconsultation demand classification and service analysis
BackgroundTo enhance teleconsultation management, demands can be classified into different patterns, and the service of each pattern demand can be...
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ECG signal classification based on deep CNN and BiLSTM
BackgroundCurrently, cardiovascular disease has become a major disease endangering human health, and the number of such patients is growing....
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An enhanced version of FREM (Fracture Risk Evaluation Model) using national administrative health data: analysis protocol for development and validation of a multivariable prediction model
BackgroundOsteoporosis poses a growing healthcare challenge owing to its rising prevalence and a significant treatment gap, as patients are widely...
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When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification
BackgroundNatural language processing (NLP) tasks in the health domain often deal with limited amount of labeled data due to high annotation costs...
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Interpretable CNN for ischemic stroke subtype classification with active model adaptation
BackgroundTOAST subtype classification is important for diagnosis and research of ischemic stroke. Limited by experience of neurologist and...
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Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods
BackgroundHospitals in the public and private sectors tend to join larger organizations to form hospital groups. This increasingly frequent mode of...
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Traditional chinese medicine syndromes classification associates with tumor cell and microenvironment heterogeneity in colorectal cancer: a single cell RNA sequencing analysis
BackgroundColorectal cancer (CRC) is one of the common gastrointestinal malignancies, tumor heterogeneity is the main cause of refractory CRC....
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Can surgical computer vision benefit from large-scale visual foundation models?
PurposeWe investigate whether foundation models pretrained on diverse visual data could be beneficial to surgical computer vision. We use instrument...
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Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives
Diabetic retinopathy is a pathological change of the retina that occurs for long-term diabetes. The patients become symptomatic in advanced stages of...
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Healthcare insurance fraud detection using data mining
BackgroundHealthcare programs and insurance initiatives play a crucial role in ensuring that people have access to medical care. There are many...
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Unsupervised phenoty** of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements
BackgroundSepsis is a highly lethal and heterogeneous disease. Utilization of an unsupervised method may identify novel clinical phenotypes that lead...
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Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases
PurposeThe performance of deep learning may fluctuate depending on the imaging devices and settings. Although domain transformation such as CycleGAN...
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Cystic (including atypical) and solid breast lesion classification using the different features of quantitative ultrasound parametric images
PurposeThe amount of ultrasound (US) breast examinations continues to grow rapidly because of the wider endorsement of breast cancer screening...
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A classification of the plantar intrinsic foot muscles based on the physiological cross-sectional area and muscle fiber length in healthy young adult males
BackgroundPlantar intrinsic foot muscles (PIFMs) are composed of 10 muscles and play an essential role in achieving functional diversity in the foot....
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Molecular classification of hepatocellular carcinoma: prognostic importance and clinical applications
Hepatocellular carcinoma (HCC) is a lethal human malignancy with a very low overall and long-term survival rate. Poor prognostic outcomes are...
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Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images
A significant challenge in machine learning-based medical image analysis is the scarcity of medical images. Obtaining a large number of labeled...
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Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features
The description of group-level, genotype- and phenotype-associated imaging traits is academically important, but the practical demands of clinical...
