AIMC Topic: Area Under Curve

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Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and laboratory parameters: a single-centre retrospective study.

BMJ open Jun 27, 2025
OBJECTIVE: To develop and validate a prediction model of Philadelphia chromosome-positive acute lymphoblastic leukaemia (Ph+ALL).
Retrospective Studies Female Aged Young Adult Humans Machine Learning Algorithms Child Area Under Curve Precursor Cell Lymphoblastic Leukemia-Lymphoma Philadelphia Chromosome Adult Male Middle Aged Adolescent
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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

PloS one Jun 26, 2025
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy o...
Middle Aged Support Vector Machine Decision Trees Area Under Curve Bayes Theorem Hepacivirus Hepatitis C Early Diagnosis Humans Machine Learning Female Adult Male
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Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study.

Scientific reports Jun 4, 2025
Timely detection of abnormal cardiotocography (CTG) during labor plays a crucial role in enhancing fetal prognosis. Recent research has explored the use of deep learning for CTG interpretation, most studies rely on small, localized datasets or focus ...
ROC Curve Cardiotocography Area Under Curve Heart Rate, Fetal Humans Pregnancy Female Deep Learning
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Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development.

JMIR medical informatics Jun 2, 2025
BACKGROUND: Diabetes affects millions worldwide. Primary care physicians provide a significant portion of care, and they often struggle with selecting appropriate medications.
Middle Aged ROC Curve Hypoglycemic Agents Diabetes Mellitus Aged Adult Male Area Under Curve Humans Machine Learning Electronic Health Records Female
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ADEPT: An advanced data exploration and processing tool for clinical data insights.

Computer methods and programs in biomedicine May 17, 2025
BACKGROUND AND OBJECTIVE: The rapid growth of clinical data creates challenges in analysis and interpretation for medical professionals. To address these issues, we developed the Advanced Data Exploration and Processing Tool (ADEPT), integrating data...
Algorithms Logistic Models Support Vector Machine Cluster Analysis Humans Machine Learning Software Area Under Curve Data Mining
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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births.

BMC pregnancy and childbirth May 3, 2025
OBJECTIVE: This study aimed to develop a machine learning (ML) model integrated with SHapley Additive exPlanations (SHAP) analysis to predict postpartum hemorrhage (PPH) following vaginal deliveries, offering a potential tool for personalized risk as...
Area Under Curve Postpartum Hemorrhage Delivery, Obstetric Retrospective Studies Pregnancy Female Risk Assessment Humans Adult China Machine Learning ROC Curve Predictive Value of Tests
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A deep learning-based multimodal medical imaging model for breast cancer screening.

Scientific reports Apr 26, 2025
In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast cancer prediction models based on multimodal medic...
Deep Learning Adult Mammography ROC Curve Humans Sensitivity and Specificity Multimodal Imaging Early Detection of Cancer Female Breast Neoplasms Area Under Curve Aged Middle Aged
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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).

Scientific reports Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
Digestive System Diseases Predictive Learning Models Diarrhea ROC Curve Area Under Curve Feasibility Studies Reproducibility of Results Deep Learning Big Data Drug-Related Side Effects and Adverse Reactions Humans Vomiting Gastrointestinal Tract Databases, Pharmaceutical Biological Clocks Constipation Electrodiagnosis Nausea
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Development of a machine learning-based diagnostic model using hematological parameters to differentiate periductal mastitis from granulomatous lobular mastitis.

Science progress Apr 13, 2025
ObjectiveNonpuerperal mastitis (NPM) is an inflammatory condition, including periductal mastitis (PDM) and granulomatous lobular mastitis (GLM). The clinical manifestations of PDM and GLM are highly similar, posing significant challenges in their dif...
Adult Middle Aged ROC Curve Mastitis Logistic Models Diagnosis, Differential Area Under Curve Granulomatous Mastitis Machine Learning Algorithms Retrospective Studies Female Humans
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Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model.

Scientific reports Apr 11, 2025
Cardiovascular disease is a common disease that threatens human health. In order to predict it more accurately, this paper proposes a cardiovascular disease prediction model that combines multiple feature selection, improved particle swarm optimizati...
Area Under Curve Humans Boosting Machine Learning Algorithms Cardiovascular Diseases ROC Curve
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