Out-of-set association analysis of lung cancer drugs and symptoms based on clinical case data mining

Article type: Research Article

Authors: Hong, Mei^{a; 1} | Zhao, Yi-Dong^{b; 1} | Zhong, Tao-Li^b | Lu, Ming^{b; c} | Sun, Wen-Hao^b | Chen, Tian-Yuan^b | Hong, Nan^b | Zhu, Yao^{b; *} | Yu, Da-Hai^{d; *}

Affiliations: [a] Department of Radiation Oncology, Nanjing Chest Hospital, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China | [b] Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu, China | [c] Nanjing Medical Data Mining Center, Nanjing, Jiangsu, China | [d] Department of Radiotherapy, Jiangsu Province Hospital of Traditional Chinese Medicine, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu, China

Correspondence: [*] Corresponding authors: Yao Zhu, Nanjing University of Traditional Chinese Medicine, No. 282 Hanzhong Road, Nanjing, Jiangsu 210023, China. E-mail: [email protected]. Da-Hai Yu, Department of Radiotherapy, Jiangsu Province Hospital of Traditional Chinese Medicine, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, No. 155 Hanzhong Road, Nanjing, Jiangsu 210029, China. E-mail: [email protected].

Note: [1] These authors contributed equally to this study.

Abstract: BACKGROUND: There are 1.8 million lung cancer deaths worldwide, accounting for 18% of global cancer deaths, including 710,000 in China, accounting for 23.8% of all cancer deaths in China. OBJECTIVE: To explore the out-of-set association rules of lung cancer symptoms and drugs through text mining of traditional Chinese medicine (TCM) treatment of lung cancer, and form medical case analysis to analyze the experience of TCM syndrome differentiation in its treatment. METHODS: The medical records of all patients diagnosed with lung cancer in Nanjing Chest Hospital from January to December 2018 were collected, and the out-of-set association analysis was performed using the MedCase v5.2 TCM clinical scientific research auxiliary platform based on the frequent pattern growth enhanced association analysis algorithm. RESULTS: In terms of TCM treatment of lung cancer, the clinical symptoms with high correlation included cough, expectoration, chest distress, and white phlegm; and the drugs with high correlation included Pinellia ternata, licorice root, white Atractylodes rhizome, and Radix Ophiopogonis; with the prescriptions based on Erchen and Maimendong decoctions. CONCLUSION: This analytical study of the medical cases of TCM treatment for lung cancer was performed using data mining techniques, and the out-of-set association rules between clinical symptoms and drugs were analyzed, including the understanding of lung cancer in TCM. Moreover, the essence of experience in drug use was gathered, providing significant scientific guidance for the clinical treatment of lung cancer.

Keywords: Data mining, lung cancer, traditional Chinese medicine, out-of-set association

DOI: 10.3233/THC-230269

Journal: Technology and Health Care, vol. 32, no. 2, pp. 849-859, 2024