Home | Articles
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.

Abstract:

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.

 




 

Impact Factor

IJPER - An Official Publication of Association of Pharmaceutical Teachers of India is pleased to announce continued growth in the Latest Release of Journal Citation Reports (source: Web of Science Data).

 

Impact Factor® as reported in the 2021 Journal Citation Reports® (Clarivate Analytics, 2022): 0.843

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.

DOI HISTORY

IJPER uses reference linking service using Digital Object Identifiers (DOI) by Crossref. Articles from the year 2013 are being assigned DOIs for its permanent URLs