AIMC Topic: Area Under Curve

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Comprehensive Drug-Likeness Prediction Using a Pretrained Transformer Model and Multitask Learning.

Journal of chemical information and modeling Jun 9, 2025
Drug-likeness is essential in drug discovery, indicating the potential of a compound to become a successful therapeutic. However, existing rule-based and machine learning methods are limited by their reliance on hand-crafted features, poor generaliza...
Drug Discovery ROC Curve Area Under Curve Humans Machine Learning
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Four Different Artificial Intelligence Models Logistic Regression to Enhance the Diagnostic Accuracy of Fecal Immunochemical Test in the Detection of Colorectal Carcinoma in a Screening Setting.

Anticancer research Jun 1, 2025
BACKGROUND/AIM: This study aimed to evaluate the diagnostic accuracy (DA) of four artificial intelligence (AI) models compared to logistic regression (LR) in enhancing the performance of the fecal immunochemical test (FIT) for the detection of colore...
Feces ROC Curve Logistic Models Early Detection of Cancer Area Under Curve Aged Occult Blood Humans Colorectal Neoplasms Male Neural Networks, Computer Middle Aged Artificial Intelligence Female
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Effect of Cumulative Exposure on the Efficacy of Paroxetine: A Population Pharmacokinetic-Pharmacodynamic and Machine Learning Analyses.

CPT: pharmacometrics & systems pharmacology Jun 1, 2025
Selective serotonin reuptake inhibitors (SSRIs) are widely used in depression treatment. However, the relationship between treatment efficacy and plasma concentrations remains unclear. We assessed whether the anti-depressive response can be predicted...
Machine Learning Female Aged Adult Humans Area Under Curve Models, Biological Paroxetine Selective Serotonin Reuptake Inhibitors Male Middle Aged Depressive Disorder, Major Treatment Outcome
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Towards robust multimodal ultrasound classification for liver tumor diagnosis: A generative approach to modality missingness.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: In medical image analysis, combining multiple imaging modalities enhances diagnostic accuracy by providing complementary information. However, missing modalities are common in clinical settings, limiting the effectiveness of...
Classification Algorithms Humans Female Male Area Under Curve Data Accuracy Image Interpretation, Computer-Assisted Ultrasonography Predictive Learning Models Liver Neoplasms Image Processing, Computer-Assisted Multimodal Imaging
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Comparison of machine learning models for predicting stroke risk in hypertensive patients: Lasso regression model, random forest model, Boruta algorithm model, and Boruta algorithm combined with Lasso regression model.

Medicine May 30, 2025
The aim of this study was to compare the performance of 4 machine learning models-Lasso regression model, random forest model, Boruta algorithm model, and the Boruta algorithm combined with Lasso regression-in predicting stroke risk among hypertensiv...
Female Risk Factors Aged Male Humans Machine Learning Algorithms Regression Analysis Area Under Curve Random Forest Stroke Middle Aged Risk Assessment ROC Curve Hypertension
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Integrating SEResNet101 and SE-VGG19 for advanced cervical lesion detection: a step forward in precision oncology.

BMC cancer May 28, 2025
BACKGROUND: Cervical cancer remains a significant global health issue, with accurate differentiation between low-grade (LSIL) and high-grade squamous intraepithelial lesions (HSIL) crucial for effective screening and management. Current methods, such...
Colposcopy Female Sensitivity and Specificity Uterine Cervical Neoplasms Deep Learning ROC Curve Early Detection of Cancer Area Under Curve Uterine Cervical Dysplasia Humans Precision Medicine
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Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets.

Scientific reports May 27, 2025
Saliva, a non-invasive, self-collected liquid biopsy, holds promise for early gastric cancer (GC) screening. This study aims to assess the potential of saliva as a proxy for malignant gastric transformation and its diagnostic value through transcript...
Saliva Liquid Biopsy Gene Expression Regulation, Neoplastic Support Vector Machine Early Detection of Cancer Area Under Curve Humans Machine Learning Female Stomach Neoplasms Biomarkers, Tumor Male Gene Expression Profiling Transcriptome
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Light Bladder Net: Non-invasive Bladder Cancer Prediction by Weighted Deep Learning Approaches and Graphical Data Transformation.

Anticancer research May 1, 2025
BACKGROUND/AIM: Bladder cancer (BCa) is associated with high recurrence rates, emphasizing the importance of early and accurate detection. This study aimed to develop a lightweight and fast deep learning model, Light-Bladder-Net (LBN), for non-invasi...
Humans Female Sensitivity and Specificity Male Deep Learning Datasets as Topic Urinalysis Prediction Methods, Machine Urinary Bladder Neoplasms Detection Algorithms Early Detection of Cancer Predictive Value of Tests Area Under Curve
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An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure.

Annals of surgery May 1, 2025
OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains the main cause of mortality after major hepatic resection. This study aimed to establish an aspartate aminotransferase to platelet ratio combined with a...
Predictive Learning Models Liver Function Tests Postoperative Complications Liver Failure Aged ROC Curve Preoperative Period Male Predictive Value of Tests Middle Aged Serum Albumin Area Under Curve Risk Assessment Humans Platelet Count Databases, Factual Aspartate Aminotransferases Female Bilirubin Hepatectomy
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Comparative Evaluation of Pre-Test Probability Models for Coronary Artery Disease with Assessment of a New Machine Learning-Based Model.

Yonsei medical journal Apr 1, 2025
PURPOSE: This study aimed to validate pivotal pre-test probability (PTP)-coronary artery disease (CAD) models (CAD consortium model and IJC-CAD model).
Area Under Curve Coronary Artery Disease Probability Aged Male Middle Aged ROC Curve Humans Machine Learning Female
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