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Interpretable machine learning model for early morbidity risk prediction in patients with sepsis-induced coagulopathy: a multi-center study.

Frontiers in immunology Mar 3, 2025
BACKGROUND: Sepsis-induced coagulopathy (SIC) is a complex condition characterized by systemic inflammation and coagulopathy. This study aimed to develop and validate a machine learning (ML) model to predict SIC risk in patients with sepsis.
Middle Aged Humans Female Risk Assessment Risk Factors Machine Learning Sepsis Aged Retrospective Studies ROC Curve Male Intensive Care Units Blood Coagulation Disorders
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Predicting 30-day mortality in hemophagocytic lymphohistiocytosis: clinical features, biochemical parameters, and machine learning insights.

Annals of hematology Mar 1, 2025
This study aims to evaluate the clinical characteristics and biochemical parameters of hemophagocytic lymphohistiocytosis (HLH) patients to predict 30-day mortality. Parameters analyzed include lymphocyte count (L), platelet count (PLT), total protei...
Retrospective Studies Female Young Adult Adult Male Humans Machine Learning Prognosis ROC Curve Nomograms Platelet Count Lymphohistiocytosis, Hemophagocytic Middle Aged Adolescent Child, Preschool Child
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An interpretable machine learning approach for detecting psoriatic arthritis in a UK primary care psoriasis cohort using electronic health records from the Clinical Practice Research Datalink.

Annals of the rheumatic diseases Mar 1, 2025
OBJECTIVES: Develop an interpretable machine learning model to detect patients with newly diagnosed psoriatic arthritis (PsA) in a cohort of psoriasis patients and identify important clinical indicators of PsA in primary care.
Area Under Curve Humans Bayes Theorem Machine Learning United Kingdom Electronic Health Records Female ROC Curve Aged Primary Health Care Adult Psoriasis Male Arthritis, Psoriatic Middle Aged Cohort Studies
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Automated Detection of Keratorefractive Laser Surgeries on Optical Coherence Tomography Using Deep Learning.

Journal of refractive surgery (Thorofare, N.J. : 1995) Mar 1, 2025
PURPOSE: To report a deep learning neural network on anterior segment optical coherence tomography (AS-OCT) for automated detection of different keratorefractive laser surgeries-including laser in situ keratomileusis with femtosecond microkeratome (f...
ROC Curve Tomography, Optical Coherence Photorefractive Keratectomy Keratomileusis, Laser In Situ Lasers, Excimer Adult Male Myopia Deep Learning Hyperopia Humans Neural Networks, Computer Algorithms Female
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Development and multi-center cross-setting validation of an explainable prediction model for sarcopenic obesity: a machine learning approach based on readily available clinical features.

Aging clinical and experimental research Mar 1, 2025
OBJECTIVES: Sarcopenic obesity (SO), characterized by the coexistence of obesity and sarcopenia, is an increasingly prevalent condition in aging populations, associated with numerous adverse health outcomes. We aimed to identify and validate an expla...
Humans Machine Learning Female Aged China Aged, 80 and over ROC Curve Male Support Vector Machine Obesity Sarcopenia
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Machine Learning-Based Identification of Novel Exosome-Derived Metabolic Biomarkers for the Diagnosis of Systemic Lupus Erythematosus and Differentiation of Renal Involvement.

Current medical science Feb 28, 2025
OBJECTIVE: This study aims to investigate the exosome-derived metabolomics profiles in systemic lupus erythematosus (SLE), identify differential metabolites, and analyze their potential as diagnostic markers for SLE and lupus nephritis (LN).
Support Vector Machine Metabolomics Diagnosis, Differential Lupus Nephritis Lupus Erythematosus, Systemic Humans Adult Exosomes Machine Learning Male Tandem Mass Spectrometry Biomarkers Middle Aged Female Case-Control Studies ROC Curve
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Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.

Cancer imaging : the official publication of the International Cancer Imaging Society Feb 28, 2025
OBJECTIVE: Exploring the construction of a fusion model that combines radiomics and deep learning (DL) features is of great significance for the precise preoperative diagnosis of meningioma sinus invasion.
Cranial Sinuses Neoplasm Invasiveness Humans Preoperative Care Retrospective Studies Meningioma Meningeal Neoplasms Male Female Middle Aged Deep Learning Aged ROC Curve Adult Magnetic Resonance Imaging Radiomics
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Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models.

BMC pregnancy and childbirth Feb 28, 2025
OBJECTIVE: To determine whether readily available patient, ultrasound and treatment outcome data can be used to develop, validate and externally test two machine learning (ML) models for predicting the success of expectant and medical management of m...
Pregnancy Female Adult ROC Curve Area Under Curve Bayes Theorem Humans Pregnancy Trimester, First Watchful Waiting Machine Learning Abortion, Spontaneous Retrospective Studies
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Machine Learning-Based Mortality Prediction for Acute Gastrointestinal Bleeding Patients Admitted to Intensive Care Unit.

Current medical science Feb 27, 2025
OBJECTIVE: The study aimed to develop machine learning (ML) models to predict the mortality of patients with acute gastrointestinal bleeding (AGIB) in the intensive care unit (ICU) and compared their prognostic performance with that of Acute Physiolo...
ROC Curve Area Under Curve Acute Disease APACHE Gastrointestinal Hemorrhage Aged Male Middle Aged Hospital Mortality Algorithms Prognosis Intensive Care Units Female Humans Machine Learning
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Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches.

PloS one Feb 27, 2025
Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide. Early detection of lung cancer can help reduce the death rate; therefore, the identification of potential biomarkers is crucial. Thus, this study ai...
Lung Neoplasms Computational Biology Gene Expression Regulation, Neoplastic Humans Gene Expression Profiling Machine Learning ROC Curve Prognosis Protein Interaction Maps Biomarkers, Tumor Gene Regulatory Networks
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