Temperature-controlled Smoker: Based on Intelligent Health Management Technology

Haiyun Wang, Keyu Han, Ruihan Shi, Zhenxiang Guan, Shiqi Huang

2021

Abstract

Intelligent Health Management (IHM) is a new industry formed by the integration of traditional health management, artificial intelligence, big data and other new information technologies. It comprehensively manages the individual and population health risk factors, and achieves the effective control of the occurrence and progress of diseases with limited resources. As a major health risk factor, smoking closely connects with the lung cancer, which is one of the leading causes of cancer death and the malignant tumors with the fastest increase in morbidity and mortality in the world. As the yield of smoke condensate (tar) from tobaccos differs in different burning conditions, the prediction is that the exposure to increasing temperature of smoking increases frequency and severity of lung cancer. This paper will measure markers of lung cancer using confocal microscopy with TTF1, Napsin A, p63, p40 and CK5/6 markers, mortality using survival curves, tumor number, tumor size, and employing mice as laboratory animals. Positive control could be treatment with radon or asbestos, negative control could be no smoke exposure. The results would be applied to temperature control in e-cigarette design, providing new lung cancer prevention strategy for the intelligent health management of smokers.

Paper Citation

in Harvard Style

Wang H., Han K., Shi R., Guan Z. and Huang S. (2021). Temperature-controlled Smoker: Based on Intelligent Health Management Technology. In Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH, ISBN 978-989-758-594-4, pages 326-332. DOI: 10.5220/0011368300003444

in Bibtex Style

@conference{caih21,
author={Haiyun Wang and Keyu Han and Ruihan Shi and Zhenxiang Guan and Shiqi Huang},
title={Temperature-controlled Smoker: Based on Intelligent Health Management Technology},
booktitle={Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,},
year={2021},
pages={326-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011368300003444},
isbn={978-989-758-594-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,
TI - Temperature-controlled Smoker: Based on Intelligent Health Management Technology
SN - 978-989-758-594-4
AU - Wang H.
AU - Han K.
AU - Shi R.
AU - Guan Z.
AU - Huang S.
PY - 2021
SP - 326
EP - 332
DO - 10.5220/0011368300003444