… This work deals with the analysis and classification models used in … the early detection of
diseases. This paper provided a review of a different machine learning algorithms for predicting …

… Our objective is to predict and diagnosis breast cancer, using machine-learning algorithms,
… In our project, the predictive analysis of the machine learning algorithms is achieved. The …

… –11 demonstrate the F-measure analysis of the proposed and the existing machine learning
… This study provides insights into using the machine learning models to predict the risk of …

… focus on the early diagnosis of PD by this popular approach, ML. [8] tried to predict PD based
on … By performing FS, only the effective features were used and the cost of the analysis was …

… for the cases that were used to assess the performance of the algorithm by putting their
features into the trained model and comparing the prediction to the known diagnoses) are …

… However, manual analysis of these parameters on large databases to diagnose and
predict hypothyroidism or hyperthyroidism is tedious. In this article, various machine learning-based …

… most likely diseases) for evaluation of the model, as the … intelligence (AI) model to assist
physicians with diagnosing diseases. In addition, we assessed the performance of each model …

… the exploratory data analysis, and different Machine learning classifier models. Results and
… relating to machine learning and deep learning-based brain disease diagnostics based on …

… have been used to build predictive models and models for early disease diagnosis, such
as … metrics (AUC and AUPRC) are suitable choices for model evaluation when we deal with …

… can be used in the prevention and diagnosis of cancer at the … of histopathological analysis,
the application of deep learning … in predictive modeling have leveraged machine learning …