AIMC Topic: Area Under Curve

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Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators.

Archives of Iranian medicine Oct 1, 2024
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significant global health burden without established curative therapies. Early detection and preventive strategies are crucial for effective MASLD management. T...
Prospective Studies Female Risk Factors Adult Area Under Curve Middle Aged Male Bayes Theorem ROC Curve Body Composition Humans Logistic Models Non-alcoholic Fatty Liver Disease Machine Learning Iran Body Mass Index Algorithms Predictive Value of Tests
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A Compact Graph Convolutional Network With Adaptive Functional Connectivity for Seizure Prediction.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2024
Seizure prediction using EEG has significant implications for the daily monitoring and treatment of epilepsy patients. However, the task is challenging due to the underlying spatiotemporal correlations and patient heterogeneity. Traditional methods o...
Epilepsy Seizures Adult Humans Male Neural Networks, Computer ROC Curve Algorithms Area Under Curve Electroencephalography Female
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Optimized machine learning model for predicting unplanned reoperation after rectal cancer anterior resection.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Sep 21, 2024
BACKGROUND: Unplanned reoperation (URO) after surgery adversely affects the quality of life and prognosis of patients undergoing anterior resection for rectal cancer. This study aims to meet the urgent need for reliable predictive tools by developing...
Humans Reoperation Machine Learning Middle Aged Algorithms Risk Assessment Prognosis Postoperative Complications Retrospective Studies Area Under Curve Female Rectal Neoplasms Aged Male
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Development of machine learning models to predict papillary carcinoma in thyroid nodules: The role of immunological, radiologic, cytologic and radiomic features.

Auris, nasus, larynx Sep 20, 2024
OBJECTIVE: Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through conventional diagnostic strategies. The aim of this study was to develop machine learning (ML) models capable of identifying papillary thyroid carcinomas using ...
Radiomics Male Middle Aged Thyroid Neoplasms Ultrasonography Machine Learning Retrospective Studies Female Aged Adult Thyroid Nodule Area Under Curve Carcinoma, Papillary Thyroid Cancer, Papillary Humans
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Validation of a deep learning model for automatic detection and quantification of five OCT critical retinal features associated with neovascular age-related macular degeneration.

The British journal of ophthalmology Sep 20, 2024
PURPOSE: To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD).
Retinal Drusen Subretinal Fluid Female Aged Aged, 80 and over Male Deep Learning ROC Curve Area Under Curve Tomography, Optical Coherence Retina Wet Macular Degeneration Humans
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AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis.

Breast (Edinburgh, Scotland) Sep 19, 2024
PURPOSE: To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosynthesis (DBT), DM combined DBT with AI-based strategies for breast mass ≤ 2 cm.
Aged Adult Breast Neoplasms Middle Aged Deep Learning ROC Curve Mammography Area Under Curve Breast Humans Artificial Intelligence Retrospective Studies Female
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Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer.

Scientific reports Sep 3, 2024
Chromosomal Instability (CIN) is a common and evolving feature in breast cancer. Large-scale Transitions (LSTs), defined as chromosomal breakages leading to gains or losses of at least 10 Mb, have recently emerged as a metric of CIN due to their stan...
Machine Learning Female Reproducibility of Results Cell Line, Tumor Triple Negative Breast Neoplasms Humans Feasibility Studies Cell Proliferation DNA Repair DNA Copy Number Variations Predictive Learning Models Area Under Curve Chromosomal Instability Neoplastic Cells, Circulating Whole Genome Sequencing
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Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

BMC medical imaging Aug 29, 2024
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...
Regression Analysis Predictive Value of Tests Area Under Curve Reference Values Thyroid Cancer, Papillary Thyroid Neoplasms Humans Ultrasonography Predictive Learning Models Retrospective Studies Risk Factors ROC Curve Female Young Adult Lymph Nodes Male Risk Assessment Adolescent Lymphatic Metastasis
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Application of machine-learning models to predict the ganciclovir and valganciclovir exposure in children using a limited sampling strategy.

Antimicrobial agents and chemotherapy Aug 28, 2024
Intravenous ganciclovir and oral valganciclovir display significant variability in ganciclovir pharmacokinetics, particularly in children. Therapeutic drug monitoring currently relies on the area under the concentration-time (AUC). Machine-learning (...
Administration, Oral Administration, Intravenous Valganciclovir Ganciclovir Male Infant Antiviral Agents Adolescent Humans Area Under Curve Child, Preschool Machine Learning Bayes Theorem Child Algorithms Drug Monitoring Female Cytomegalovirus Infections
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Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

Journal of clinical monitoring and computing Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Artificial Intelligence Algorithms Databases, Factual Female Reproducibility of Results Aged Adult Male Humans Middle Aged Blood Pressure Monitors Deep Learning Capnography Blood Pressure Area Under Curve Monitoring, Intraoperative Hypotension ROC Curve Intraoperative Complications Photoplethysmography Consciousness Monitors Electrocardiography Blood Pressure Determination
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