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Published on:September 2022
Indian Journal of Pharmaceutical Education and Research , 2022; 56(3s):s398-s406
Original Article | doi:10.5530/ijper.56.3s.147

Exploring Machine Learning Models for Recurrence Prediction in Lung Cancer Patients

Authors and affiliation (s):

Priyanka Ramesh1, Anika Jain1,2, Ramanathan Karuppasamy1, Shanthi Veerappapillai1,*

1Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, INDIA.

2Biological Sciences Graduate Student, Purdue University, West Lafayette, IN, US.


Background: A proper assessment for the probability of recurrence in lung cancer is mandatory for a clinician to make an effective treatment-decision. Materials and Methods:Here, we employed machine learning algorithms to predict the lung cancer recurrence rate using the Caribbean and few white ethnicities populations. A 100 metastatic record with 15 predictor variables and 1 dependent variable was considered for model development. These models were evaluated using seven performance metrics, including accuracy and F1 score. Results: Our study results show that the decision tree outperformed the other models with the highest accuracy and F1 score of about 0.95 and 0.90, respectively. Of note, the p-value and correlation matrix show that the most significant features accounting for the tumor recurrence are cancer stage, ethnicity, tumor size, genome doubled and time to recurrence. Conclusion: Thus, our study provides insights into implementing machine learning algorithms to evaluate cancer outcomes in a clinical setting.

Key words: Machine learning, Lung cancer, Recurrence, Statistical analysis, Correlation matrix.



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The Official Journal of Association of Pharmaceutical Teachers of India (APTI)
(Registered under Registration of Societies Act XXI of 1860 No. 122 of 1966-1967, Lucknow)

Indian Journal of Pharmaceutical Education and Research (IJPER) [ISSN-0019-5464] is the official journal of Association of Pharmaceutical Teachers of India (APTI) and is being published since 1967.


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