AIMC Topic: ROC Curve

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Explainable SHAP-XGBoost models for pressure injuries among patients requiring with mechanical ventilation in intensive care unit.

Scientific reports Mar 22, 2025
pressure injuries are significant concern for ICU patients on mechanical ventilation. Early prediction is crucial for enhancing patient outcomes and reducing healthcare costs. This study aims to develop a predictive model using machine learning techn...
Humans Machine Learning Algorithms Male Pressure Ulcer Intensive Care Units Middle Aged Boosting Machine Learning Algorithms Female Respiration, Artificial Risk Factors ROC Curve Aged
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Using machine learning for predicting cancer-specific mortality in bladder cancer patients undergoing radical cystectomy: a SEER-based study.

BMC cancer Mar 21, 2025
BACKGROUND: Accurately assessing the prognosis of bladder cancer patients after radical cystectomy has important clinical and research implications. Current models, based on traditional statistical approaches and complex variables, have limited perfo...
Proportional Hazards Models Female Aged Male Middle Aged Humans ROC Curve Machine Learning Urinary Bladder Neoplasms Prognosis SEER Program Cystectomy
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A risk prediction model for gastric cancer based on endoscopic atrophy classification.

BMC cancer Mar 21, 2025
BACKGROUNDS: Gastric cancer (GC) is a prevalent malignancy affecting the digestive system. We aimed to develop a risk prediction model based on endoscopic atrophy classification for GC.
Female Risk Factors Aged Logistic Models Stomach Neoplasms Gastroscopy Male Humans Middle Aged Machine Learning Risk Assessment Retrospective Studies ROC Curve Atrophy
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Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy.

Scientific reports Mar 21, 2025
New bronchoscopy techniques like radial probe endobronchial ultrasound have been developed for real-time sampling characterization, but their use is still limited. This study aims to use classification algorithms with minimally invasive electrical im...
Decision Trees Bayes Theorem Discriminant Analysis Biopsy Humans Dielectric Spectroscopy Machine Learning ROC Curve Algorithms Lung Neoplasms Female Support Vector Machine Male Bronchoscopy Middle Aged
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Rapid, non-invasive breath analysis for enhancing detection of silicosis using mass spectrometry and interpretable machine learning.

Journal of breath research Mar 21, 2025
Occupational lung diseases, such as silicosis, are a significant global health concern, especially with increasing exposure to engineered stone dust. Early detection of silicosis is helpful for preventing disease progression, but existing diagnostic ...
Humans Machine Learning Female Aged ROC Curve Adult Silicosis Male Mass Spectrometry Middle Aged Case-Control Studies Volatile Organic Compounds Breath Tests
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Optimizing deep learning models for glaucoma screening with vision transformers for resource efficiency and the pie augmentation method.

PloS one Mar 21, 2025
Glaucoma is the leading cause of irreversible vision impairment, emphasizing the critical need for early detection. Typically, AI-based glaucoma screening relies on fundus imaging. To tackle the resource and time challenges in glaucoma screening with...
ROC Curve Humans Neural Networks, Computer Glaucoma Deep Learning
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Development of PDAC diagnosis and prognosis evaluation models based on machine learning.

BMC cancer Mar 20, 2025
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is difficult to detect early and highly aggressive, often leading to poor patient prognosis. Existing serum biomarkers like CA19-9 are limited in early diagnosis, failing to meet clinical needs. Mac...
Diagnosis, Differential Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Proportional Hazards Models Male Middle Aged ROC Curve Support Vector Machine Humans Female Neural Networks, Computer Machine Learning Aged Prognosis Biomarkers, Tumor
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Comparison of MRI and CT based deep learning radiomics analyses and their combination for diagnosing intrahepatic cholangiocarcinoma.

Scientific reports Mar 20, 2025
Intrahepatic cholangiocarcinoma (iCCA) and other subtypes of primary liver cancer (PLC) have overlapping clinical manifestations and radiological characteristics. The objective of this study was to evaluate the efficacy of deep learning (DL) radiomic...
Cholangiocarcinoma Deep Learning ROC Curve Magnetic Resonance Imaging Bile Duct Neoplasms Humans Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged
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Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study.

The Journal of dermatological treatment Mar 19, 2025
BACKGROUND: Identifying the risk of psoriasis relapse after discontinuing biologics can help optimize treatment strategies, potentially reducing relapse rates and alleviating the burden of disease management.
Humans Machine Learning Precision Medicine Risk Assessment Severity of Illness Index Cohort Studies ROC Curve Nomograms Female Adult Male Middle Aged Psoriasis Biological Products Remission Induction Recurrence Withholding Treatment
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Identifying liver cirrhosis in patients with chronic hepatitis B: an interpretable machine learning algorithm based on LSM.

Annals of medicine Mar 19, 2025
BACKGROUND: Chronic hepatitis B (CHB) is a common cause of liver cirrhosis (LC), a condition associated with an unfavourable prognosis. Therefore, timely diagnosis of LC in CHB patients is crucial.
Liver Cirrhosis Liver Hepatitis B, Chronic Elasticity Imaging Techniques Algorithms Retrospective Studies Female Adult Male Humans Middle Aged ROC Curve Neural Networks, Computer Machine Learning Logistic Models
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