… the classification performance of K-NN using Genetic Algorithm (GA) is proposed in this paper.
The proposed G-KNN classifier is applied for classification … Such early detection might be …

… Lately, a wide number of machine learning algorithms are considered and evaluated to
check their validity of being used in the medical field. Usually, the classification algorithms are …

… predictions due to its set algorithms. As such techniques are … aiding for early detection by
the help of classification models … the classification performance of different classifying models. …

… The ensemble boosting algorithm used in our method is … solve classification problems in
recent days [38]. It is more extensible tree-based boosting algorithm used for both classification …

… classification of BGL for early detection of diabetes based on a PPG signal by utilizing a
combination of electronic circuits with a machine learning algorithm (… each classification level to …

… , and the effectiveness of classification algorithms that employed the imputed data. Performance
of several classification algorithms for early detection of liver disease was explored in [18…

… , early, and effective leukemia detection … early detection, and classification system to
diagnose leukemia from blood image using machine learning and image processing algorithm. To …

… , different classification methodologies used for the prediction of lung cancer in its early stage
… This paper discusses different lung cancer classification algorithms such as CNN, SVM, …

… The earlier detection of cancer is not easier process but if it is … In this study mainly
classification algorithms such as Naive Bayes, Bayesian network, and J48 algorithm is used for …