image: Lung cancer prediction using machine learning and statistical techniques. view more
Credit: Samarendra Das and Braja Bruti Das, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0277431
Article Title: Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples
Author Countries: USA, India
Funding: This study was supported by Netaji Subhas-ICAR International Fellowship, OM No. 18(02)/2016-EQR/Edn. (SD) of Indian Council of Agricultural Research (ICAR), New Delhi, India. It was supported in part by NIH NCI grant: 1R21CA229057, PI: XF. It was supported in part by Wendell Cherry Chair in Clinical Trial Research Fund (SNR), multiple National Institutes of Health (NIH), USA grants (SNR) (5P20GM113226, PI: McClain; 1P42ES023716, PI: Srivastava; 5P30GM127607-02, PI: Jones; 1P20GM125504-01, PI: Lamont; 2U54HL120163, PI: Bhatnagar/Robertson; 1P20GM135004, PI: Yan; 1R35ES0238373-01, PI: Cave; 1R01ES029846, PI: Bhatnagar; 1R01ES027778-01A1, PI: States;), and Kentucky Council on Postsecondary Education grant (PON2 415 1900002934, PI: Chesney). The content is solely the authors' responsibility and does not necessarily represent the official views of NIH or ICAR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Journal
PLOS One
Article Title
Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples
Article Publication Date
30-Nov-2022
COI Statement
The authors have declared that no competing interests exist.