Affiliations: [a] Department of Electronic Information and Electric Engineering, Hefei University, Hefei 230601, Anhui, China | [b] Anhalt Unversity of Applied Sciences, Hochschule Anhalt, Köthen, D-06366, Germany | [c] Respiratory Medicine, The Second Hospital of Anhui Medical University, Hefei 230601, Anhui, China
Correspondence:
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Corresponding author: Fenglian He, Respiratory Medicine, The Second Hospital of Anhui Medical University, Hefei 230601, Anhui, China. E-mail: [email protected].
Abstract: Considering the complexity of diagnosing lung cancer, a novel neighborhood covering algorithm based on the stages and diagnosis of lung cancer was put forward. The paper used to process a quantity of data, 1074 cases of lung cancer diagnosed from 2013 to 2017 in the Second Hospital of Anhui Medical University. Modeling and processing the data set by using the improved neighborhood covering algorithm, so as to mine and use the potential information in the data set as much as possible. The Objective is to predict the lung cancer patients reasonably. Experimental results show that the improved algorithm is effective in lung cancer staging prediction, and has faster training speed and better performance. The new method for staging diagnosis of lung cancer and a new reference for the clinical treatment of lung cancer research is provided.
Keywords: Neighborhood covering algorithm, stages of lung cancer, lung cancer staging prediction
