Artificial Intelligence and Data Mining to Assess Lung Cancer Risk: Challenges and Opportunities

2020 ◽  
Vol 173 (9) ◽  
pp. 760-761
Author(s):  
Paul Pinsky
Keyword(s):  
Artificial Intelligence ◽  
Lung Cancer ◽  
Data Mining ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Challenges And Opportunities

scholarly journals Early Detection of Lung Cancer Risk Using Data Mining

2013 ◽  
Vol 14 (1) ◽  
pp. 595-598 ◽  
Author(s):  
Kawsar Ahmed ◽  
Abdullah-Al-Emran Abdullah-Al-Emran ◽  
Tasnuba Jesmin ◽  
Roushney Fatima Mukti ◽  
Md. Zamilur Rahman ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Data Mining ◽  
Early Detection ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Using Data

Early Mortality in Patients with Lung Cancer: Risk Factors for Death within 30 Days or 60 Days of Initial Diagnosis

2019 ◽  
Author(s):  
A Tufman ◽  
S Schneiderbauer ◽  
D Kauffmann-Guerrero ◽  
F Manapov ◽  
C Schneider ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Early Mortality ◽  
Initial Diagnosis ◽  
Cancer Risk Factors

LUNG CANCER RISK INDUCED BY RESIDENTIAL RADON IN CLUJ AND ALBA COUNTIES, ROMANIA

2013 ◽  
Vol 12 (6) ◽  
pp. 1281-1285 ◽  
Author(s):  
Tiberius Dicu ◽  
Doina Todea ◽  
Constantin Cosma ◽  
Loredana Rosca ◽  
Alexandra Cucos Dinu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Residential Radon

Biased Lung Cancer Risk Perceptions: Smokers are Misinformed

2018 ◽  
Vol 238 (5) ◽  
pp. 395-421 ◽  
Author(s):  
Nicolas R. Ziebarth
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Cancer Diagnosis ◽  
Mortality Risk ◽  
Risk Perceptions ◽  
Lung Cancer Risk ◽  
Lifetime Risk ◽  
Lung Cancer Diagnosis ◽  
Cancer Risk Perceptions ◽  
Overall Mortality

Abstract This paper empirically investigates biased beliefs about the risks of smoking. First, it confirms the established tendency of people to overestimate the lifetime risk of a smoker to contract lung cancer. In this paper’s survey, almost half of all respondents overestimate this risk. However, 80% underestimate lung cancer deadliness. In reality, less than one in five patients survive five years after a lung cancer diagnosis. Due to the broad underestimation of the lung cancer deadliness, the lifetime risk of a smoker to die of lung cancer is underestimated by almost half of all respondents. Smokers who do not plan to quit are significantly more likely to underestimate this overall mortality risk.

scholarly journals Differentially methylated regions within lung cancer risk loci are enriched in deregulated enhancers

Epigenetics ◽  
2021 ◽  
pp. 1-16
Author(s):  
Marina Laplana ◽  
Matthias Bieg ◽  
Christian Faltus ◽  
Svitlana Melnik ◽  
Olga Bogatyrova ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Differentially Methylated Regions

scholarly journals Associations between female lung cancer risk and sex steroid hormones: a systematic review and meta-analysis of the worldwide epidemiological evidence on endogenous and exogenous sex steroid hormones

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hui Zeng ◽  
Zhuoyu Yang ◽  
Jiang Li ◽  
Yan Wen ◽  
Zheng Wu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Steroid Hormones ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
Sex Steroid Hormones ◽  
Sex Steroid ◽  
Sex Steroid Hormone ◽  
Hormone Exposure ◽  
Female Lung Cancer

Abstract Background Published findings suggest sex differences in lung cancer risk and a potential role for sex steroid hormones. Our aim was to perform a meta-analysis to investigate the effects of sex steroid hormone exposure specifically on the risk of lung cancer in women. Methods The PubMed, MEDLINE, Web of Science, and EMBASE databases were searched. The pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) for female lung cancer risk associated with sex steroid hormones were calculated overall and by study design, publication year, population, and smoking status. Sensitivity analysis, publication bias, and subgroup analysis were performed. Results Forty-eight studies published between 1987 and 2019 were included in the study with a total of 31,592 female lung cancer cases and 1,416,320 subjects without lung cancer. Overall, higher levels of sex steroid hormones, both endogenous (OR: 0.92, 95% CI: 0.87–0.98) and exogenous (OR: 0.86, 95% CI: 0.80–0.93), significantly decreased the risk of female lung cancer by 10% (OR: 0.90, 95% CI: 0.86–0.95). The risk of lung cancer decreased more significantly with a higher level of sex steroid hormones in non-smoking women (OR: 0.88, 95% CI: 0.78–0.99) than in smoking women (OR: 0.98, 95% CI: 0.77–1.03), especially in Asia women (OR: 0.84, 95% CI: 0.74–0.96). Conclusions Our meta-analysis reveals an association between higher levels of sex steroid hormone exposure and the decreased risk of female lung cancer. Surveillance of sex steroid hormones might be used for identifying populations at high risk for lung cancer, especially among non-smoking women.

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