ArticleComputational and mathematical methods in medicine2022
Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pathogen distribution in pulmonary infection in chinese patients with lung cancer: a systematic review and meta-analysis.BMC pulmonary medicine · 2023Pooled it
- Review
- Comparing artificial intelligence and multidisciplinary tumor board decision making in real-world cancer care: a prospective blinded concordance study.ESMO real world data and digital oncology · 2026Article
- Incidence and risk factors of infections in lung cancer patients receiving immunotherapy combined with chemotherapy: a real-world retrospective study.American journal of cancer research · 2026Article
- Mapping study on AI-based technologies in palliative care - a scoping study.BMC palliative care · 2025Article
- Artificial intelligence-based approaches for advance care planning: a scoping review.BMC palliative care · 2025Article
- Article
- Predictive nomogram for risk of pulmonary infection in lung cancer patients undergoing radiochemotherapy: development and performance evaluation.American journal of cancer research · 2025Article
- Incidence and prognostic factors for pulmonary infection complications in elderly patients with acute myeloid leukemia.American journal of translational research · 2025Article
- Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review.JMIR cancer · 2024Review
- Lung cancer diagnosis based on weighted convolutional neural network using gene data expression.Scientific reports · 2024Article
- Construction of a risk prediction model for lung infection after chemotherapy in lung cancer patients based on the machine learning algorithm.Frontiers in oncology · 2024Article
- Review
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Authors and funding
4 authors.
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Abstract
Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increases pain. The study is aimed at establishing the prediction model of infection in patients with lung cancer during chemotherapy by an artificial neural network (ANN). Based on the data of historical cases in our hospital, the variables were screened, and the prediction model was established. A logistic regression (LR) model was used to screen the data. The indexes with statistical significance were selected, and the LR model and back propagation neural network model were established. A total of 80 cases of advanced lung cancer patients with palliative chemotherapy were predicted, and the prediction performance of different model was evaluated by the receiver operating characteristic curve (ROC). It was found that age≧60 years, length of stay≧14 d, surgery history, combined chemotherapy, myelosuppression, diabetes, and hormone application were risk factors of infection in lung cancer patients during chemotherapy. The area under the ROC curve of the LR model for prediction lung infection was 0.729 ± 0.084, which was less than that of the ANN model (0.897 ± 0.045). The results concluded that the neural network model is better than the LR model in predicting lung infection of lung cancer patients during chemotherapy.
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