AIMC Topic: ROC Curve
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An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure.
Annals of surgery
May 1, 2025
OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains the main cause of mortality after major hepatic resection. This study aimed to establish an aspartate aminotransferase to platelet ratio combined with a...
ROC Curve
Liver Failure
Male
Predictive Value of Tests
Middle Aged
Preoperative Period
Area Under Curve
Risk Assessment
Serum Albumin
Platelet Count
Postoperative Complications
Predictive Learning Models
Aspartate Aminotransferases
Humans
Bilirubin
Databases, Factual
Hepatectomy
Female
Liver Function Tests
Aged
Utilizing Artificial Intelligence for Predicting Postoperative Complications in Breast Reduction Surgery: A Comprehensive Retrospective Analysis of Predictive Features and Outcomes.
Aesthetic surgery journal
Apr 16, 2025
BACKGROUND: Breast reduction is a common procedure with growing rates in the United States of America, aimed at alleviating the physical and psychological burdens of macromastia. Despite high success rates, it carries a risk of complications, with in...
Robust Diagnosis of Acute Bacterial and Viral Infections via Host Gene Expression Rank-Based Ensemble Machine Learning Algorithm: A Multi-Cohort Model Development and Validation Study.
Clinical chemistry
Apr 3, 2025
BACKGROUND: The accurate and prompt diagnosis of infections is essential for improving patient outcomes and preventing bacterial drug resistance. Host gene expression profiling as an approach to infection diagnosis holds great potential in assisting ...
[Machine learning models established to distinguish OA and RA based on immune factors in the knee joint fluid].
Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology
Apr 1, 2025
Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Method...
Machine Learning-Based Immuno-Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture.
Immunity, inflammation and disease
Apr 1, 2025
BACKGROUND: Coronary artery plaque rupture (PR) is closely associated with immune-inflammatory responses. The systemic inflammatory index (SII) and the systemic inflammatory response index (SIRI) have shown potential in predicting the occurrence of P...
Machine Learning and Deep Learning in Detection of Neonatal Seizures: A Systematic Review.
Journal of evaluation in clinical practice
Apr 1, 2025
BACKGROUND: Neonatal seizures are one of the most prevalent clinical manifestations of neurological conditions, requiring urgent intervention and detection. Machine learning (ML) and Deep Learning (DL) is an emerging promising tool for detecting and ...
MoLPre: A Machine Learning Model to Predict Metastasis of cT1 Solid Lung Cancer.
Clinical and translational science
Apr 1, 2025
Given that more than 20% of patients with cT1 solid NSCLC showed nodal or extrathoracic metastasis, early detection of metastasis is crucial and urgent for improving therapeutic planning and patients' risk stratification in clinical practice. This st...
Comparative Evaluation of Pre-Test Probability Models for Coronary Artery Disease with Assessment of a New Machine Learning-Based Model.
Yonsei medical journal
Apr 1, 2025
PURPOSE: This study aimed to validate pivotal pre-test probability (PTP)-coronary artery disease (CAD) models (CAD consortium model and IJC-CAD model).
Using machine learning models to identify severe subjective cognitive decline and related factors in nurses during the menopause transition: a pilot study.
Menopause (New York, N.Y.)
Apr 1, 2025
OBJECTIVE: This study aims to develop and validate a machine learning model for identifying individuals within the nursing population experiencing severe subjective cognitive decline (SCD) during the menopause transition, along with their associated ...
Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support.
The British journal of surgery
Mar 28, 2025
BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patients is traditionally performed by clinicians using criteria-directed triage protocols. In the present study, it was hypothesized that an artificial inte...
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