AIMC Topic: ROC Curve

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Application of kNN and SVM to predict the prognosis of advanced schistosomiasis.

Parasitology research Jun 29, 2022
Predictive models for prognosis of small sample advanced schistosomiasis patients have not been well studied. We aimed to construct prognostic predictive models of small sample advanced schistosomiasis patients using two machine learning algorithms, ...
Machine Learning Prognosis Humans Schistosomiasis ROC Curve Support Vector Machine
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Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.

BMC medical informatics and decision making Jun 26, 2022
BACKGROUND: A disease severity classification system is widely used to predict the survival of patients admitted to the intensive care unit with different diagnoses. In the present study, conventional severity classification systems were compared wit...
Intensive Care Units ROC Curve Hospital Mortality APACHE Humans Artificial Intelligence Prognosis Retrospective Studies
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Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients.

American journal of perinatology Jun 25, 2022
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the probability of a vaginal delivery (Partometer) using data iteratively obtained during labor from the electronic health record.
Machine Learning Retrospective Studies Humans Adult Female Area Under Curve ROC Curve Electronic Health Records Delivery, Obstetric Labor, Obstetric Cesarean Section Pregnancy
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Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.

European radiology Jun 21, 2022
OBJECTIVES: To investigate the feasibility and efficacy of a deep-learning (DL)-based three-dimensional (3D) super-resolution (SR) MRI radiomics model for preoperative T-staging prediction in rectal cancer (RC).
Magnetic Resonance Imaging Rectal Neoplasms Deep Learning ROC Curve Humans Retrospective Studies
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Towards a guideline for evaluation metrics in medical image segmentation.

BMC research notes Jun 20, 2022
In the last decade, research on artificial intelligence has seen rapid growth with deep learning models, especially in the field of medical image segmentation. Various studies demonstrated that these models have powerful prediction capabilities and a...
Benchmarking ROC Curve Image Processing, Computer-Assisted Algorithms Reproducibility of Results Artificial Intelligence
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Prediction Performance of Deep Learning for Colon Cancer Survival Prediction on SEER Data.

BioMed research international Jun 16, 2022
Colon and rectal cancers are the most common kinds of cancer globally. Colon cancer is more prevalent in men than in women. Early detection increases the likelihood of survival, and treatment significantly increases the likelihood of eradicating the ...
SEER Program Deep Learning Female Humans Prognosis United States Male ROC Curve Colonic Neoplasms
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Deep convolutional neural networks for automated scoring of pentagon copying test results.

Scientific reports Jun 14, 2022
This study aims to investigate the accuracy of a fine-tuned deep convolutional neural network (CNN) for evaluating responses to the pentagon copying test (PCT). To develop a CNN that could classify PCT images, we fine-tuned and compared the pre-train...
Humans ROC Curve Neural Networks, Computer Dementia
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Improved Prediction of Body Mass Index in Real-World Administrative Healthcare Claims Databases.

Advances in therapy Jun 10, 2022
INTRODUCTION: To continue closing the gap between the predictive modeling and its real-world application, we report a new data-to-prediction pipeline that advanced the state-of-the-art predictive performance of body mass index (BMI) classifications b...
Humans ROC Curve Delivery of Health Care Machine Learning Body Mass Index Databases, Factual Administrative Claims, Healthcare
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Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings.

Nature communications Jun 10, 2022
The pathological identification of lymph node (LN) metastasis is demanding and tedious. Although convolutional neural networks (CNNs) possess considerable potential in improving the process, the ultrahigh-resolution of whole slide images hinders the ...
Humans Neural Networks, Computer Lymphatic Metastasis ROC Curve Lymph Nodes Artificial Intelligence Algorithms
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Tell me something interesting: Clinical utility of machine learning prediction models in the ICU.

Journal of biomedical informatics Jun 7, 2022
In recent years, extensive resources are dedicated to the development of machine learning (ML) based clinical prediction models for intensive care unit (ICU) patients. These models are transforming patient care into a collaborative human-AI task, yet...
ROC Curve Critical Care Humans Algorithms Machine Learning Intensive Care Units
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