Family history of cancer and lung cancer: Utility of big data and artificial intelligence for exploring the role of genetic risk.
Virginia CalvoEmetis NiazmandEnric CarcerenyDelvys Rodriguez-AbreuManuel CoboRafael López-CastroMaría GuiradoCarlos CampsAna Laura OrtegaReyes BernabéBartomeu MassutíRosario Garcia-CampeloEdel Del BarcoJosé Luis González-LarribaJoaquim Bosch-BarreraMarta MartínezMaría TorrenteMaría-Esther VidalMariano ProvencioPublished in: Lung cancer (Amsterdam, Netherlands) (2024)
In our population, the incidence of LC in patients with a FHC is higher in women and younger patients. FHC is a risk factor and predictor of LC development, especially in people ≤ 50 years. These results were confirmed by conventional statistics and AI-assisted analysis.
Keyphrases
- artificial intelligence
- big data
- machine learning
- deep learning
- risk factors
- end stage renal disease
- newly diagnosed
- ejection fraction
- prognostic factors
- papillary thyroid
- polycystic ovary syndrome
- gene expression
- mass spectrometry
- metabolic syndrome
- type diabetes
- squamous cell carcinoma
- liquid chromatography
- copy number
- pregnancy outcomes
- patient reported
- skeletal muscle
- young adults
- lymph node metastasis