ArticleMedicina (Kaunas, Lithuania)2021
A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers.
Article in Medicina (Kaunas, Lithuania), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 21 citations in OpenAlex.
- A supervised machine learning approach with feature selection for sex-specific biomarker prediction.NPJ systems biology and applications · 2025Article
- Article
- Multi-Process Remora Enhanced Hyperparameters of Convolutional Neural Network for Lung Cancer Prediction.Biomedicines · 2023Article
- An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction.Sensors (Basel, Switzerland) · 2022Article
- Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases.Annual review of biomedical data science · 2022Review
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND AND
objectivePrimary lung cancer is a lethal and rapidly-developing cancer type and is one of the most leading causes of cancer deaths. MATERIALS AND
methodsStatistical methods such as Cox regression are usually used to detect the prognosis factors of a disease. This study investigated survival prediction using machine learning algorithms. The clinical data of 28,458 patients with primary lung cancers were collected from the Surveillance, Epidemiology, and End Results (SEER) database.
resultsThis study indicated that the survival rate of women with primary lung cancer was often higher than that of men (
conclusionsThis data suggested that male patients may have more complicated factors in lung cancer than females, and it is necessary to develop gender-specific diagnosis and prognosis models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.