AIMC Topic: ROC Curve

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Prediction of prognosis in lung cancer using machine learning with inter-institutional generalizability: A multicenter cohort study (WJOG15121L: REAL-WIND).

Lung cancer (Amsterdam, Netherlands) Jul 18, 2024
OBJECTIVES: Predicting the prognosis of lung cancer is crucial for providing optimal medical care. However, a method to accurately predict the overall prognosis in patients with stage IV lung cancer, even with the use of machine learning, has not bee...
Cohort Studies ROC Curve Lung Neoplasms Neoplasm Staging Aged Aged, 80 and over Humans Male Machine Learning Middle Aged Algorithms Prognosis Retrospective Studies Female
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Development of a machine learning approach for prediction of red blood cell transfusion in patients undergoing Cesarean section at a single institution.

Scientific reports Jul 18, 2024
Despite recent advances in surgical techniques and perinatal management in obstetrics for reducing intraoperative bleeding, blood transfusion may occur during a cesarean section (CS). This study aims to identify machine learning models with an optima...
Blood Loss, Surgical Erythrocyte Transfusion Humans Machine Learning Algorithms Cesarean Section Pregnancy Adult Female ROC Curve
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Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models.

Odontology Jul 17, 2024
The aim of this study was to develop an optimal, simple, and lightweight deep learning convolutional neural network (CNN) model to detect the presence of mesiodens on panoramic radiographs. A total of 628 panoramic radiographs with and without mesiod...
Female Adult Male Deep Learning Adolescent Humans Neural Networks, Computer Retrospective Studies Child ROC Curve Radiography, Panoramic Tooth, Supernumerary
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Artificial intelligence for predicting shockable rhythm during cardiopulmonary resuscitation: In-hospital setting.

Resuscitation Jul 17, 2024
AIM OF THE STUDY: This study aimed to develop an artificial intelligence (AI) model capable of predicting shockable rhythms from electrocardiograms (ECGs) with compression artifacts using real-world data from emergency department (ED) settings. Addit...
Heart Arrest Retrospective Studies Emergency Service, Hospital Artifacts Female Electric Countershock Male Humans Aged Middle Aged Cardiopulmonary Resuscitation Artificial Intelligence ROC Curve Electrocardiography
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Predicting Clostridioides difficile infection outcomes with explainable machine learning.

EBioMedicine Jul 17, 2024
BACKGROUND: Clostridioides difficile infection results in life-threatening short-term outcomes and the potential for subsequent recurrent infection. Predicting these outcomes at diagnosis, when important clinical decisions need to be made, has proven...
ROC Curve Area Under Curve Clostridium Infections Clostridioides difficile Female Aged Male Middle Aged Recurrence Machine Learning Prognosis Retrospective Studies Humans
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Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using a multimodal neural network.

Scientific reports Jul 16, 2024
Hematoma expansion occasionally occurs in patients with intracerebral hemorrhage (ICH), associating with poor outcome. Multimodal neural networks incorporating convolutional neural network (CNN) analysis of images and neural network analysis of tabul...
Tomography, X-Ray Computed Female Aged Humans Aged, 80 and over Neural Networks, Computer ROC Curve Machine Learning Male Cerebral Hemorrhage Retrospective Studies Middle Aged Hematoma
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Deep Learning Assisted Classification of T1ρ-MR Based Intervertebral Disc Degeneration Phases.

Journal of magnetic resonance imaging : JMRI Jul 15, 2024
BACKGROUND: According to the T1ρ value of nucleus pulposus, our previous study has found that intervertebral disc degeneration (IDD) can be divided into three phases based on T1ρ-MR, which is helpful for the selection of biomaterial treatment timing....
Aged Adult Male Middle Aged Humans Retrospective Studies Female Reproducibility of Results Image Interpretation, Computer-Assisted Intervertebral Disc Degeneration Low Back Pain Intervertebral Disc Nucleus Pulposus Deep Learning ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Machine learning-based prediction of diabetic patients using blood routine data.

Methods (San Diego, Calif.) Jul 15, 2024
Diabetes stands as one of the most prevalent chronic diseases globally. The conventional methods for diagnosing diabetes are frequently overlooked until individuals manifest noticeable symptoms of the condition. This study aimed to address this gap b...
Middle Aged ROC Curve Diabetes Mellitus Support Vector Machine Erythrocyte Indices Algorithms Female Adult Male Humans Machine Learning
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Comparison of radiomics-based machine-learning classifiers for the pretreatment prediction of pathologic complete response to neoadjuvant therapy in breast cancer.

PeerJ Jul 15, 2024
BACKGROUND: Machine learning classifiers are increasingly used to create predictive models for pathological complete response (pCR) in breast cancer after neoadjuvant therapy (NAT). Few studies have compared the effectiveness of different ML classifi...
Middle Aged Aged Humans Support Vector Machine ROC Curve Adult Pathologic Complete Response Machine Learning Breast Neoplasms Magnetic Resonance Imaging Treatment Outcome Retrospective Studies Radiomics Neoadjuvant Therapy Female
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An assessment of the value of deep neural networks in genetic risk prediction for surgically relevant outcomes.

PloS one Jul 15, 2024
INTRODUCTION: Postoperative complications affect up to 15% of surgical patients constituting a major part of the overall disease burden in a modern healthcare system. While several surgical risk calculators have been developed, none have so far been ...
Middle Aged Risk Assessment Postoperative Complications Deep Learning Female Risk Factors Aged Male Pneumonia Atrial Fibrillation Venous Thromboembolism Genome-Wide Association Study Humans ROC Curve Neural Networks, Computer Genetic Predisposition to Disease Polymorphism, Single Nucleotide
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