Detection of Cervical Cancer: A Pursuit of Machine Intelligence towards Sustainable Health

Detection of Cervical Cancer: A Pursuit of Machine Intelligence towards Sustainable Health

Abstract – Predicting the early stages of significant illnesses using ML-algorithms schemes, inclusive of cancer, kidney failure, and heart attacks, is increasing. Cervical cancer is one of the most frequent illnesses among ladies, and early analysis could be a possible answer for stopping this cancer. Therefore, this have a look at gives an astute manner to expect cervical most cancers with ML algorithms. research dataset, records pre-processing, predictive model choice (PMS), and pseudo-code are the 4 stages of the proposed studies technique. Hence, the proposed version bestows a second opinion to health practitioners for disorder identification and timely remedy.

Index Terms – Cervical cancer, machine intelligence, classification algorithms, support vector machine, Naïve Bayes, random forest, decision trees, K-nearest neighbors, ensemble classification.