Abstract
Peripheral neuropathy is a disease that significantly impacts the quality of life, and it is a common side effect of chemotherapy treatments for cancer patients. Therefore, continuous monitoring of drugs, their outcomes, and associated symptoms is crucial for detecting any signs or symptoms of neuropath, which is typically linked to chemotherapy agents. This research paper aims to investigate the relationship between chemotherapy exposure and the development of neuropathy through the emergence of associated side effects. It utilized the fundamentals of AI for intelligent analysis; for instance data preprocessing, feature extraction, pattern matching, signal detection, and classification. This target was achieved by using data that belong to USA Food and Drug Administration’s Adverse Event Reporting System (FAERS). Intelligent analytics was conducted on a dataset of pharmacovigilance reports collected from 2015 to 2026. This database underwent to data mining steps which were the preprocessing to remove missing and duplicate values, and standardize text by normalization. Exposure to chemotherapy was identified by feature extraction and matching a set of keywords of the patient’s drugs recorded in FAERS database. As a classification, and to compare neuropathy-related interactions with chemotherapy exposure, a 2 X 2 correlation table was constructed. Non proportional analysis was performed using Reporting Odds Ratio (ROR), with a 95% confidence level. Chi-square was used for evaluation. Over 527,000 reports were analyzed from FAERS database to investigate the relationship between chemotherapy exposure and neuropathy. Among all the data, 4.519 reports showed a correlation between the two, with 259 reports demonstration a correlation. ROR ratio was 6.28, with a 95% confidence interval between 5.5 and 7.1, indicating a significant disproportion between chemotherapy exposure and peripheral neuropathy. The Chi-square value (p < 0.001) showed a strong correlation between the analyzed variables. The paper results demonstrated a significant association between chemo exposure and the occurrence of neuropathic reactions in FAERS database. The paper highlighted the importance of ongoing pharmacovigilance data and continuous assessment of neurotoxicity resulting from chemotherapy exposure.