This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (842) Machine Learning (1491) Lung Cancer (35)

Published on in Vol 22, No 3 (2020): March

Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data

Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data

Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data

Authors of this article:

Songjing Chen1 Author Orcid Image ;   Sizhu Wu1 Author Orcid Image
Article Authors Cited by (22) Tweetations (9) Metrics

Journals

  1. Owais M, Arsalan M, Mahmood T, Kim Y, Park K. Comprehensive Computer-Aided Decision Support Framework to Diagnose Tuberculosis From Chest X-Ray Images: Data Mining Study. JMIR Medical Informatics 2020;8(12):e21790 View
  2. Zhang H, Guo Y, Prosperi M, Bian J. An ontology-based documentation of data discovery and integration process in cancer outcomes research. BMC Medical Informatics and Decision Making 2020;20(S4) View
  3. Al-Bander B, Fadil Y, Mahdi H. Multi-Criteria Decision Support System for Lung Cancer Prediction. IOP Conference Series: Materials Science and Engineering 2021;1076(1):012036 View
  4. Banegas-Luna A, Peña-García J, Iftene A, Guadagni F, Ferroni P, Scarpato N, Zanzotto F, Bueno-Crespo A, Pérez-Sánchez H. Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey. International Journal of Molecular Sciences 2021;22(9):4394 View
  5. Sahu D, Pradhan B, Khasnobish A, Verma S, Kim D, Pal K, Gloria A. The Internet of Things in Geriatric Healthcare. Journal of Healthcare Engineering 2021;2021:1 View
  6. Chen S, Wu S. Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study. BMC Medical Informatics and Decision Making 2022;22(1) View
  7. Huang L, Feng C, Pandurangan A. Effect of Refined Perioperative Nursing on the Efficacy of Noninvasive Ventilation in Elderly Patients with Lung Cancer and Respiratory Failure. Journal of Oncology 2022;2022:1 View
  8. Alexa-Stratulat T, Pavel-Tanasa M, Cianga V, Antoniu S. Immune senescence in non-small cell lung cancer management: therapeutic relevance, biomarkers, and mitigating approaches. Expert Review of Anticancer Therapy 2022;22(11):1197 View
  9. An J, Dong Y, Li Y, Han X, Niu H, Zou Z, Wu J, Tian Y, Chen Z. CT-guided placement of microcoil end in the pleural cavity for video-assisted thoracic surgical resection of ground-glass opacity: a retrospective study. Journal of Cardiothoracic Surgery 2022;17(1) View
  10. Mridha M, Prodeep A, Hoque A, Islam M, Lima A, Kabir M, Hamid M, Watanobe Y, Morales R. A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification. Journal of Healthcare Engineering 2022;2022:1 View
  11. Qian S, Wei Z, Yang W, Huang J, Yang Y, Wang J. The role of BCL-2 family proteins in regulating apoptosis and cancer therapy. Frontiers in Oncology 2022;12 View
  12. Li J, Tang M, Gao X, Tian S, Liu W. Mendelian randomization analyses explore the relationship between cathepsins and lung cancer. Communications Biology 2023;6(1) View
  13. Saeed M, Alshammari N, Saeed A, Ayyed AL-Shammary A, Alabdallah N, Ahmad I, Aqil F. Molecular interactions of cucurbitacins A and B with anaplastic lymphoma kinase for lung cancer treatment. Journal of Biomolecular Structure and Dynamics 2024;42(23):13165 View
  14. BABACAN D. BCL-2 Protein Ailesi ve Kanser. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2023;28(3):1218 View
  15. Romadhon Y, Kurniati Y, Jumadi J, Alesheikh A, Lotfata A. Analyzing socio-environmental determinants of bone and soft tissue cancer in Indonesia. BMC Cancer 2024;24(1) View
  16. Bassi M, Vaz Sousa R, Zacchini B, Centofanti A, Ferrante F, Poggi C, Carillo C, Pecoraro Y, Amore D, Diso D, Anile M, De Giacomo T, Venuta F, Vannucci J. Lung Cancer Surgery in Octogenarians: Implications and Advantages of Artificial Intelligence in the Preoperative Assessment. Healthcare 2024;12(7):803 View
  17. Song W, Li Y, Yao Y, Sun S, Guan X, Wang B. Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for lung cancer. BMC Cancer 2024;24(1) View
  18. Ki M, Youn S, Kim D, Pack S. Natural Compounds for Preventing Age-Related Diseases and Cancers. International Journal of Molecular Sciences 2024;25(14):7530 View

Books/Policy Documents

  1. Phan Y, Pham L, Van Nguyen S, Maleszka M. Intelligent Information and Database Systems. View