… methods are widely used in diagnosis and analysis to make … different machine learning
algorithms: Support Vector Machine (… in Breast Cancer prediction and diagnosis and achieves the …

… Current study presents a review of different machine learning … cancer diagnosis from 2008
to 2019. This study focuses on diagnosis of five most prevalent and deadly cancers ie, cervical …

… improve the power of breast cancer diagnosis by RS. Spectra from … cancer and breast
cancer diagnosis. Affinity chromatography was used to purify the modified nucleoside from cancer …

… AI-based cancer diagnosis is mainly driven by machine learning (ML) and deep learning (DL)
techniques. Machine learning uses computational methods to analyse large volumes of …

… We have developed an automatic diagnosis technique for the assessment of breast cancer
based on thermograms using texture features and the SVM classifier. In this work, we have …

… described two applications of Machine Learning techniques, one for diagnosis of Alzheimer’…
of cancer cells. Incidences of diseases such as Alzheimer’s and Cancer are one a rise and …

… We also discussed several applications of AI in disease diagnosis and monitoring, including
cancer, heart disease, and infectious diseases. In cancer diagnosis, AI can analyze medical …

… is now the most common type of cancer occurring in … rise in the prevalence of breast cancer
among women of all socioeconomic strata. Therefore, proper screening for early diagnosis …

… an overview of machine learning-based approaches that strengthen the varying aspects of
lung cancer diagnosis and therapy, including early detection, auxiliary diagnosis, prognosis …

… effective early cancer diagnosis and treatment to … machines and create predictive models
for successful decision-making. Machine learning helps with early diagnosis of breast cancer …