AIMC Topic: ROC Curve

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Integrating Radiomics and Neural Networks for Knee Osteoarthritis Incidence Prediction.

Arthritis & rheumatology (Hoboken, N.J.) Jul 8, 2024
OBJECTIVE: Accurately predicting knee osteoarthritis (KOA) is essential for early detection and personalized treatment. We aimed to develop and test a magnetic resonance imaging (MRI)-based joint space (JS) radiomic model (RM) to predict radiographic...
Humans Neural Networks, Computer Female Aged Sensitivity and Specificity Magnetic Resonance Imaging Radiomics Radiography Male Knee Joint Middle Aged Osteoarthritis, Knee Incidence Cartilage, Articular ROC Curve
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Machine Learning-Based Identification of Diagnostic Biomarkers for Korean Male Sarcopenia Through Integrative DNA Methylation and Methylation Risk Score: From the Korean Genomic Epidemiology Study (KoGES).

Journal of Korean medical science Jul 8, 2024
BACKGROUND: Sarcopenia, characterized by a progressive decline in muscle mass, strength, and function, is primarily attributable to aging. DNA methylation, influenced by both genetic predispositions and environmental exposures, plays a significant ro...
ROC Curve Logistic Models DNA Methylation Hand Strength Sarcopenia Humans Risk Factors Muscle, Skeletal Aged Machine Learning Muscle Strength Male Biomarkers Middle Aged Republic of Korea Cohort Studies
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Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods.

Scientific reports Jul 8, 2024
Postoperative venous thromboembolic events (VTEs), such as lower extremity deep vein thrombosis (DVT), are major risk factors for gastric cancer (GC) patients following radical gastrectomy. Accurately predicting and managing these risks is crucial fo...
Stomach Neoplasms Male Middle Aged Humans Postoperative Complications Machine Learning Case-Control Studies Retrospective Studies ROC Curve Female Logistic Models Risk Factors Venous Thrombosis Aged Gastrectomy
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Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models.

Scientific reports Jul 8, 2024
The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irreparable complications and even death. Artificial intelligence (AI) techniques like machine learning (ML) and deep learning (DL) greatly aid in accurately...
Methanol Humans Iran Artificial Intelligence Intubation, Intratracheal Male Machine Learning Middle Aged Female Deep Learning Adult ROC Curve
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Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learning.

BMC cancer Jul 7, 2024
BACKGROUND AND AIMS: The recurrence of papillary thyroid carcinoma (PTC) is not unusual and associated with risk of death. This study is aimed to construct a nomogram that combines clinicopathological characteristics and ultrasound radiomics signatur...
Retrospective Studies Female Aged Adult Male Middle Aged Thyroidectomy Thyroid Cancer, Papillary Thyroid Neoplasms Ultrasonography Humans ROC Curve Machine Learning Nomograms Neoplasm Recurrence, Local Kaplan-Meier Estimate
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Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data.

Antimicrobial resistance and infection control Jul 6, 2024
BACKGROUND: Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensive Care Units (ICU), characterized by the extensive use of antimicrobial agents and a high prevalence of bacterial resistance, are hotspots for MDRO p...
Electronic Health Records Female Aged Humans Adult Middle Aged Machine Learning Male Drug Resistance, Multiple, Bacterial Anti-Bacterial Agents ROC Curve Intensive Care Units Cross Infection
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Validation of an Electronic Health Record-Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding.

Gastroenterology Jul 5, 2024
BACKGROUND & AIMS: Guidelines recommend use of risk stratification scores for patients presenting with gastrointestinal bleeding (GIB) to identify very-low-risk patients eligible for discharge from emergency departments. Machine learning models may o...
Middle Aged Risk Assessment ROC Curve Predictive Value of Tests Emergency Service, Hospital Female Gastrointestinal Hemorrhage Reproducibility of Results Machine Learning Risk Factors Humans Decision Support Techniques Aged Retrospective Studies Male Electronic Health Records
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Development and external validation of machine learning-based models to predict patients with cellulitis developing sepsis during hospitalisation.

BMJ open Jul 5, 2024
OBJECTIVE: Cellulitis is the most common cause of skin-related hospitalisations, and the mortality of patients with sepsis remains high. Some stratification models have been developed, but their performance in external validation has been unsatisfact...
Male Middle Aged Sepsis ROC Curve Area Under Curve Female Hospitalization Aged Adult Cellulitis Humans Machine Learning Retrospective Studies
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Plasma immune profiling combined with machine learning contributes to diagnosis and prognosis of active pulmonary tuberculosis.

Emerging microbes & infections Jul 4, 2024
Tuberculosis (TB) remains one of the deadliest chronic infectious diseases globally. Early diagnosis not only prevents the spread of TB but also ensures effective treatment. However, the absence of non-sputum-based diagnostic tests often leads to del...
Middle Aged Case-Control Studies ROC Curve Tuberculosis, Pulmonary Humans Female Machine Learning Aged Biomarkers Adult Prognosis Sensitivity and Specificity Male
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External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4-5 chronic kidney disease.

Journal of nephrology Jul 4, 2024
BACKGROUND: Chronic kidney disease (CKD) is associated with increased mortality. Individual mortality prediction could be of interest to improve individual clinical outcomes. Using an independent regional dataset, the aim of the present study was to ...
Female Reproducibility of Results Risk Factors Aged Male Humans Machine Learning Prognosis ROC Curve Renal Insufficiency, Chronic Predictive Value of Tests Area Under Curve Cause of Death Middle Aged Risk Assessment Severity of Illness Index Time Factors
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