AIMC Topic: Pneumonia

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Performance evaluation of reduced complexity deep neural networks.

PloS one Mar 20, 2025
Deep Neural Networks (DNN) have achieved state-of-the-art performance in medical image classification and are increasingly being used for disease diagnosis. However, these models are quite complex and that necessitates the need to reduce the model co...
Pneumonia COVID-19 Algorithms SARS-CoV-2 Humans Deep Learning Neural Networks, Computer
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Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.

Clinical interventions in aging Feb 27, 2025
BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged patients, who were at a high risk of postoperative pneumonia due to their frailty and the presence of multiple comorbidities. This study aims to establi...
Logistic Models Support Vector Machine Pneumonia Hip Fractures Risk Assessment Postoperative Complications China Incidence Humans Neural Networks, Computer Machine Learning Risk Factors Aged, 80 and over Male Algorithms Female
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Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography.

JCO clinical cancer informatics Feb 20, 2025
PURPOSE: Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the discontinuation of treatment. Predicting which p...
Humans Tomography, X-Ray Computed Female Neoplasms Immune Checkpoint Inhibitors Deep Learning Aged Immunotherapy Radiomics Pneumonia Male Middle Aged
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The role of CTGF and MFG-E8 in the prognosis assessment of SCAP: a study combining machine learning and nomogram analysis.

Frontiers in immunology Jan 23, 2025
BACKGROUND: Severe Community-Acquired Pneumonia (SCAP) is a serious global health issue with high incidence and mortality rates. In recent years, the role of biomarkers such as Connective Tissue Growth Factor (CTGF) and Milk Fat Globule-Epidermal Gro...
Antigens, Surface Milk Proteins Connective Tissue Growth Factor Male Middle Aged Nomograms Pneumonia Humans Machine Learning Prospective Studies Biomarkers Prognosis Female Aged Adult
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Prediction of mortality risk in patients with severe community-acquired pneumonia in the intensive care unit using machine learning.

Scientific reports Jan 10, 2025
The aim of this study was to develop and validate a machine learning-based mortality risk prediction model for patients with severe community-acquired pneumonia (SCAP) in the intensive care unit (ICU). We collected data from two centers as the develo...
Humans Risk Factors Aged Male Middle Aged Machine Learning Prognosis Intensive Care Units Female Community-Acquired Infections Community-Acquired Pneumonia Risk Assessment ROC Curve Pneumonia Area Under Curve
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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy.

Frontiers in immunology Jan 8, 2025
OBJECTIVES: The pairing of immunotherapy and radiotherapy in the treatment of locally advanced nonsmall cell lung cancer (NSCLC) has shown promise. By combining radiotherapy with immunotherapy, the synergistic effects of these modalities not only bol...
Immunotherapy Carcinoma, Non-Small-Cell Lung Pneumonia Combined Modality Therapy Male Middle Aged Deep Learning Lung Neoplasms Retrospective Studies Radiation Pneumonitis Tomography, X-Ray Computed Humans Female Aged
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Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia.

Scientific reports Jan 2, 2025
Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prolonged hospital stays. The potential of machine learning to enhance prediction accuracy in this context is significant, yet clinicians often lack the p...
Community-Acquired Infections ROC Curve Pneumonia Area Under Curve Retrospective Studies Humans Male Data Mining Female Middle Aged Aged Machine Learning Length of Stay Aged, 80 and over Hospital Mortality
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A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system.

PloS one Dec 27, 2024
BACKGROUND: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart...
Dyspnea Deep Learning Pneumonia Emergency Service, Hospital Heart Failure Pulmonary Disease, Chronic Obstructive Sweden Humans Cross-Sectional Studies Aged Delivery of Health Care Male Aged, 80 and over Female Middle Aged Adult
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A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study.

Journal of medical Internet research Dec 19, 2024
BACKGROUND: Acute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP) and is associated with increased morbidity and mortality.
Humans Machine Learning Acute Kidney Injury Female Aged Male Middle Aged Pneumonia Community-Acquired Infections
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Development and validation of interpretable machine learning models for postoperative pneumonia prediction.

Frontiers in public health Dec 11, 2024
BACKGROUND: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses significant risks to patients' prognosis and even their lives. This study aimed to develop and validate a predictive model for postoperative pneumonia in surg...
Female Humans Aged Middle Aged Machine Learning Adult Postoperative Complications Algorithms Male Pneumonia Retrospective Studies
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