AIMC Topic: ROC Curve
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A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study.
Rheumatology (Oxford, England)
Sep 1, 2024
OBJECTIVE: To develop a machine learning-based prediction model for identifying hyperuricemic participants at risk of developing gout.
Clinical risk prediction using language models: benefits and considerations.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVE: The use of electronic health records (EHRs) for clinical risk prediction is on the rise. However, in many practical settings, the limited availability of task-specific EHR data can restrict the application of standard machine learning pipe...
Machine learning models for differential diagnosing HER2-low breast cancer: A radiomics approach.
Medicine
Aug 16, 2024
To develop machine learning models based on preoperative dynamic enhanced magnetic resonance imaging (DCE-MRI) radiomics and to explore their potential prognostic value in the differential diagnosis of human epidermal growth factor receptor 2 (HER2)-...
Machine Learning-Based Prediction of 1-Year Survival Using Subjective and Objective Parameters in Patients With Cancer.
JCO clinical cancer informatics
Aug 1, 2024
PURPOSE: Palliative care is recommended for patients with cancer with a life expectancy of <12 months. Machine learning (ML) techniques can help in predicting survival outcomes among patients with cancer and may help distinguish who benefits the most...
High Prevalence of Artifacts in Optical Coherence Tomography With Adequate Signal Strength.
Translational vision science & technology
Aug 1, 2024
PURPOSE: This study aims to investigate the prevalence of artifacts in optical coherence tomography (OCT) images with acceptable signal strength and evaluate the performance of supervised deep learning models in improving OCT image quality assessment...
A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer.
Cancer medicine
Aug 1, 2024
BACKGROUND: To explore the efficacy of a prediction model based on diffusion-weighted imaging (DWI) features extracted from deep learning (DL) and radiomics combined with clinical parameters and apparent diffusion coefficient (ADC) values to identify...
Deep-Transfer-Learning-Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer.
JCO clinical cancer informatics
Aug 1, 2024
PURPOSE: To explore the predictive potential of serial computed tomography (CT) radiology reports for pancreatic cancer survival using natural language processing (NLP).
Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network.
Translational vision science & technology
Aug 1, 2024
PURPOSE: Changes in retinal structure and microvasculature are connected to parallel changes in the brain. Two recent studies described machine learning algorithms trained on retinal images and quantitative data that identified Alzheimer's dementia a...
Novel machine-learning prediction tools for overall survival of patients with chondrosarcoma: Based on recursive partitioning analysis.
Cancer medicine
Aug 1, 2024
BACKGROUND: Chondrosarcoma (CHS), a bone malignancy, poses a significant challenge due to its heterogeneous nature and resistance to conventional treatments. There is a clear need for advanced prognostic instruments that can integrate multiple progno...
A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-Hour Urine Data.
Journal of endourology
Aug 1, 2024
The absence of predictive markers for kidney stone recurrence poses a challenge for the clinical management of stone disease. The unpredictability of stone events is also a significant limitation for clinical trials, where many patients must be enro...
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