What type of study is this?

This is a Cohort Study study (also classified as: Quantitative Study, Experimental Study).

September 28, 2025PLoS ONEOpen Access

Construction of an automated machine learning-based predictive model for postoperative pulmonary complications risk in non-small cell lung cancer patients undergoing thoracoscopic surgery

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Authors

XQXie QiuXuzhou Medical College SHShuo HuCentral South University SDShumin DongKunming University of Science and Technology

Discussion

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Implication

Retrospective analysis identifies risk factors for postoperative pulmonary complications in NSCLC patients, suggesting improved predictive capabilities using machine learning.

Key Points

The automated machine learning model achieved ROC-AUC values of 0.9038 in the training set, indicating strong predictive performance.
Key predictors identified include preoperative leukocyte count, body mass index, and C-reactive protein levels, enhancing risk assessment accuracy.
Retrospective study involving 286 NSCLC patients utilized innovative optimization techniques to develop the predictive model and evaluate its performance.
Decision curve analysis showed significantly higher clinical benefit of the machine learning model compared to traditional methods, supporting its practical application.

Cite This Study

Qiu et al. (2025) studied this question.

synapsesocial.com/papers/68d9051441e1c178a14f48ce https://doi.org/10.1371/journal.pone.0333413

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Implication

Retrospective analysis identifies risk factors for postoperative pulmonary complications in NSCLC patients, suggesting improved predictive capabilities using machine learning.

Construction of an automated machine learning-based predictive model for postoperative pulmonary complications risk in non-small cell lung cancer patients undergoing thoracoscopic surgery

Discussion

Member takes

Implication

Key Points

Cite This Study

Construction of an automated machine learning-based predictive model for postoperative pulmonary complications risk in non-small cell lung cancer patients undergoing thoracoscopic surgery

Discussion

Member takes

Implication

Key Points

Cite This Study

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