AIMC Topic: Lung Neoplasms

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Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction.

Frontiers in public health Apr 25, 2025
INTRODUCTION: Public health data analysis is critical to understanding disease trends. Existing analysis methods struggle with the complexity of public health data, which includes both location and time factors. Machine learning offers powerful tools...
Support Vector Machine Public Health Incidence Lung Neoplasms Humans United States Machine Learning Forecasting
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Analyzing factors influencing hospitalization costs for five common cancers in China using neural network models.

Journal of medical economics Apr 24, 2025
BACKGROUND: Malignant tumors are a major global health crisis, causing 25% of deaths in China, with lung, liver, thyroid, breast, and colon cancers being the most common. Understanding the factors influencing hospitalization costs for these cancers i...
ROC Curve Lung Neoplasms Colonic Neoplasms Middle Aged Neoplasms China Thyroid Neoplasms Humans Neural Networks, Computer Female Hospitalization Aged Adult Breast Neoplasms Male
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Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

Journal of applied clinical medical physics Apr 23, 2025
BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning-based automatic segmentation methods rely on manually annotated data for network training.
Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Deep Learning Humans Image Processing, Computer-Assisted Unsupervised Machine Learning Neural Networks, Computer Lung Neoplasms Generative Adversarial Networks Algorithms
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Explainable machine learning for predicting lung metastasis of colorectal cancer.

Scientific reports Apr 19, 2025
Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning...
Humans Support Vector Machine Machine Learning Bayes Theorem SEER Program Colorectal Neoplasms Male Middle Aged Lung Neoplasms Algorithms Prognosis Female Aged
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Updated perspectives on visceral pleural invasion in non-small cell lung cancer: A propensity score-matched analysis of the SEER database.

Current problems in cancer Apr 18, 2025
BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic layer) and PL2 (the tumor extends to the surface of the visceral pleura), plays a crucial role in staging Non-Small Cell Lung Cancer (NSCLC). However, th...
Survival Rate Male Middle Aged Lung Neoplasms Prognosis Retrospective Studies Humans Female Aged Pleural Neoplasms Carcinoma, Non-Small-Cell Lung SEER Program Follow-Up Studies Propensity Score Neoplasm Invasiveness Pleura Neoplasm Staging
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Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs.

BMC medical informatics and decision making Apr 18, 2025
The automated processing of Electronic Health Records (EHRs) poses a significant challenge due to their unstructured nature, rich in valuable, yet disorganized information. Natural Language Processing (NLP), particularly Named Entity Recognition (NER...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Natural Language Processing Survival Analysis Humans Electronic Health Records Female Male
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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections.

Radiation oncology (London, England) Apr 18, 2025
BACKGROUND: Delineating the internal gross tumor volume (IGTV) is crucial for the treatment of non-small cell lung cancer (NSCLC). Deep learning (DL) enables the automation of this process; however, current studies focus mainly on multiple phases of ...
Humans Retrospective Studies Female Aged Four-Dimensional Computed Tomography Lung Neoplasms Aged, 80 and over Carcinoma, Non-Small-Cell Lung Male Radiotherapy Planning, Computer-Assisted Middle Aged Tumor Burden Deep Learning
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Decoding Recurrence in Early-Stage and Locoregionally Advanced Non-Small Cell Lung Cancer: Insights From Electronic Health Records and Natural Language Processing.

JCO clinical cancer informatics Apr 18, 2025
PURPOSE: Recurrences after curative resection in early-stage and locoregionally advanced non-small cell lung cancer (NSCLC) are common, necessitating a nuanced understanding of associated risk factors. This study aimed to establish a natural language...
Carcinoma, Non-Small-Cell Lung Natural Language Processing Neoplasm Staging Neoplasm Recurrence, Local Middle Aged Deep Learning Lung Neoplasms Humans Prognosis Electronic Health Records Female Risk Factors Aged Male
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Mechanistic study of Lonicerae Japonicae Flos (Caprifoliaceae) in non-small cell lung cancer prevention and treatment through integrative pharmacology, multi-machine learning, artificial intelligence, and in vitro experiments.

Journal of ethnopharmacology Apr 17, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Lonicerae Japonicae Flos (Caprifoliaceae) (LJF), an herb with the homology of medicine and food, is traditionally utilized for its heat-clearing, detoxifying, and anticancer properties. Yet, the mechanism by which LJF ...
Humans Lung Neoplasms Plant Extracts Cell Proliferation Carcinoma, Non-Small-Cell Lung Artificial Intelligence Machine Learning Molecular Docking Simulation Cell Line, Tumor Lonicera Antineoplastic Agents, Phytogenic A549 Cells Network Pharmacology
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The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.

Frontiers in immunology Apr 17, 2025
OBJECTIVE: Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality globally, highlighting the urgent need for novel insights finto its molecular mechanisms. This study aims to investigate the relationship between gene e...
Humans Adenocarcinoma of Lung Gene Expression Profiling Gene Expression Regulation, Neoplastic Machine Learning Gene Regulatory Networks Mitophagy Databases, Genetic Biomarkers, Tumor Lung Neoplasms Autophagy Computational Biology Mitochondria
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