AIMC Topic: ROC Curve

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Deep learning based screening model for hip diseases on plain radiographs.

PloS one Feb 13, 2025
INTRODUCTION: The interpretation of plain hip radiographs can vary widely among physicians. This study aimed to develop and validate a deep learning-based screening model for distinguishing normal hips from severe hip diseases on plain radiographs.
ROC Curve Radiography Hip Joint Hip Adult Male Middle Aged Deep Learning Humans Algorithms Female Aged
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Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China.

BMC pregnancy and childbirth Feb 11, 2025
BACKGROUND: Macrosomia presents significant risks to both maternal and neonatal health, however, accurate antenatal prediction remains a major challenge. This study aimed to develop machine learning approaches to enhance the prediction of fetal macro...
China ROC Curve Gestational Age Fetal Macrosomia Humans Gestational Weight Gain Female Machine Learning Infant, Newborn Retrospective Studies Adult Pregnancy Male
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Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods.

BMC pregnancy and childbirth Feb 11, 2025
BACKGROUND: Preeclampsia (PE) is a multisystem progressive disease that occurs during pregnancy. Previous studies have shown that the immune system is involved in the placental trophoblast function and the pathological process of uterine vascular rem...
Pregnancy Computational Biology Female Humans Gene Expression Profiling Placenta Machine Learning ROC Curve Pre-Eclampsia Biomarkers Gene Regulatory Networks
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Interpretable Machine Learning to Predict the Malignancy Risk of Follicular Thyroid Neoplasms in Extremely Unbalanced Data: Retrospective Cohort Study and Literature Review.

JMIR cancer Feb 10, 2025
BACKGROUND: Diagnosing and managing follicular thyroid neoplasms (FTNs) remains a significant challenge, as the malignancy risk cannot be determined until after diagnostic surgery.
Male Middle Aged Risk Assessment Thyroid Neoplasms Ultrasonography ROC Curve Adenocarcinoma, Follicular Machine Learning Retrospective Studies Female Adult Humans
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Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences.

Scientific reports Feb 10, 2025
Local recurrences (LR) can occur within residual breast tissue, chest wall, skin, or newly formed scar tissue. Artificial intelligence (AI) technologies can extract a wide range of tumor features from large datasets helping in oncological decision-ma...
Humans Neoplasm Recurrence, Local Neoplasm Metastasis Adult Machine Learning Breast Neoplasms Prognosis Middle Aged Female ROC Curve Aged
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Identifying invasiveness to aid lung adenocarcinoma diagnosis using deep learning and pathomics.

Scientific reports Feb 10, 2025
Most classification efforts for primary subtypes of lung adenocarcinoma (LUAD) have not yet been integrated into clinical practice. This study explores the feasibility of combining deep learning and pathomics to identify tumor invasiveness in LUAD pa...
Adenocarcinoma of Lung ROC Curve Lung Neoplasms Neoplasm Invasiveness Area Under Curve Humans Retrospective Studies Male Middle Aged Deep Learning Female Aged
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Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging.

Scientific reports Feb 10, 2025
Ensemble learning can effectively mitigate the risk of model overfitting during training. This study aims to evaluate the performance of ensemble learning models in predicting tumor deposits in rectal cancer (RC) and identify the optimal model for pr...
Aged Adult Male Middle Aged ROC Curve Magnetic Resonance Imaging Rectal Neoplasms Ensemble Learning Humans Machine Learning Female
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An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks.

Scientific reports Feb 9, 2025
Mammography is the recommended imaging modality for breast cancer screening. Expressions of human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), and progesterone receptor (PR) are critical to the development of therapeutic strateg...
Breast Neoplasms Biomarkers, Tumor Middle Aged Deep Learning Humans Neural Networks, Computer Female Adult Receptors, Estrogen Receptors, Progesterone Convolutional Neural Networks ROC Curve Mammography Receptor, ErbB-2
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Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.

Journal of clinical monitoring and computing Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Male Middle Aged Spectroscopy, Near-Infrared Hemodynamics Female Reproducibility of Results Aged Adult Supervised Machine Learning Carbon Dioxide Humans Oxygen Saturation Monitoring, Intraoperative Machine Learning Cerebrovascular Circulation ROC Curve Oximetry Algorithms Oxygen Brain Signal Processing, Computer-Assisted
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Development and Validation of a Machine Learning Algorithm for Predicting Diabetes Retinopathy in Patients With Type 2 Diabetes: Algorithm Development Study.

JMIR medical informatics Feb 7, 2025
BACKGROUND: Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. Machine learning (ML) systems can enhance DR in community-based screening. However, predictive power models for usability and performance are still being d...
Humans Diabetic Retinopathy Machine Learning Middle Aged Risk Factors Risk Assessment Algorithms Aged ROC Curve Electronic Health Records Adult Diabetes Mellitus, Type 2 Republic of Korea Male Female
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