AIMC Topic: ROC Curve

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Non-invasive liver fibrosis screening on CT images using radiomics.

BMC medical imaging Jul 15, 2025
PURPOSE: To develop a radiomics machine learning model for detecting liver fibrosis on CT images of the liver.
Tomography, X-Ray Computed Female Aged Adult Humans Machine Learning Liver Cirrhosis Contrast Media Liver Radiographic Image Interpretation, Computer-Assisted Image-Guided Biopsy Radiomics Male Middle Aged ROC Curve
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Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Scientific reports Jul 15, 2025
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complication, exerting substantial impacts on both short-term and long-term patient prognoses. The primary objective of our investigation was to develop a machin...
Humans Machine Learning Algorithms Male Middle Aged Heart Failure Female Colectomy Risk Factors Postoperative Complications Aged ROC Curve Colorectal Neoplasms
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Predicting the molecular subtypes of 2021 WHO grade 4 glioma by a multiparametric MRI-based machine learning model.

BMC cancer Jul 14, 2025
BACKGROUND: Accurately distinguishing the different molecular subtypes of 2021 World Health Organization (WHO) grade 4 Central Nervous System (CNS) gliomas is highly relevant for prognostic stratification and personalized treatment.
Male Middle Aged ROC Curve Glioma Female Aged Adult Brain Neoplasms Isocitrate Dehydrogenase Multiparametric Magnetic Resonance Imaging Magnetic Resonance Imaging Neoplasm Grading Mutation World Health Organization Machine Learning Prognosis Retrospective Studies Humans
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Integrated bioinformatics and machine learning reveal key genes and immune mechanisms associated with uremia.

Scientific reports Jul 14, 2025
Uremia is a serious complication of end-stage chronic kidney disease, closely associated with immune imbalance and chronic inflammation. However, its molecular mechanisms remain largely unclear. In this study, we analyzed transcriptomic data from the...
Databases, Genetic Uremia Humans Gene Expression Profiling ROC Curve Machine Learning Transcriptome Gene Regulatory Networks Computational Biology
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Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Molecular medicine reports Jul 11, 2025
Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal transition (EMT) serving a key role in its initiation and progression. Nevertheless, the precise mechanisms involved remain unidentified. The present ...
Cadherins Fibronectins Vimentin Diabetic Nephropathies Computational Biology Databases, Genetic Epithelial-Mesenchymal Transition Gene Expression Profiling Humans ROC Curve Protein Interaction Maps Machine Learning Gene Regulatory Networks Animals Mice Male
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Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy.

Scientific reports Jul 10, 2025
Breast cancer continues to be a leading cause of death among women in the world. The prediction of survival outcomes based on treatment modalities, i.e., chemotherapy, hormone therapy, surgery, and radiation therapy is an essential step towards perso...
Machine Learning Female Breast Neoplasms ROC Curve Combined Modality Therapy Treatment Outcome Humans Survival Analysis Support Vector Machine
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Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage.

Scientific reports Jul 10, 2025
Lower extremity deep vein thrombosis is one of the important complications of spontaneous intracerebral hemorrhage. We aimed to develop a risk assessment model to predict the risk of lower extremity DVT during hospitalization in patients with spontan...
Humans Middle Aged Risk Assessment ROC Curve Venous Thrombosis Lower Extremity Cerebral Hemorrhage Machine Learning Algorithms Retrospective Studies Female Risk Factors Hospitalization Aged Male
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Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural network.

Biomedical physics & engineering express Jul 10, 2025
Predicting the risk of breast cancer recurrence is crucial for guiding therapeutic strategies, including enhanced surveillance and the consideration of additional treatment after surgery. In this study, we developed a deep convolutional neural networ...
Contrast Media Area Under Curve Neoplasm Recurrence, Local Carcinoma, Ductal, Breast Preoperative Period Breast Neoplasms Middle Aged Convolutional Neural Networks ROC Curve Tomography, X-Ray Computed Female Aged Adult Humans Neural Networks, Computer Retrospective Studies
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BIScreener: enhancing breast cancer ultrasound diagnosis through integrated deep learning with interpretability.

Analytical methods : advancing methods and applications Jul 10, 2025
Breast cancer is the leading cause of death among women worldwide, and early detection through the standardized BI-RADS framework helps physicians assess the risk of malignancy and guide appropriate diagnostic and treatment decisions. In this study, ...
Breast Neoplasms Area Under Curve Humans Middle Aged Ultrasonography, Mammary Neural Networks, Computer Deep Learning Image Interpretation, Computer-Assisted Female ROC Curve Adult
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Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis.

Biomedical engineering online Jul 9, 2025
INTRODUCTION: Brucella spondylitis (BS) and tuberculous spondylitis (TS) are prevalent spinal infections with distinct treatment protocols. Rapid and accurate differentiation between these two conditions is crucial for effective clinical management; ...
Brucellosis Magnetic Resonance Imaging Spondylitis Brucella Middle Aged Young Adult Humans Female Deep Learning Adult ROC Curve Aged Male Image Processing, Computer-Assisted
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