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- W2968778421 abstract "Cancer has been recognized as a deadly disease consisting of many different subtypes, it is a leading cause of death worldwide which may reach 13.1 million deaths in 2030. Early diagnosis and prognosis of cancer is the current trend for research work that facilitates the easy clinical management of patients. However, it is important to classify the type of cancer based on the features detection in the view of bioinformatics and biomedical field. Nowadays, different computational techniques and tools are used for early detection and assessment for the severity of cancer which will aid in improving the quality of life of the patients and also reduce the associated medical cost. The computational techniques like machine learning, artificial neural network, fuzzy logic, genetic algorithm, data mining, Bayesian network, etc., have a great impact on early detection of cancer and its assessment. The main objective of this survey paper is to present the comprehensive review on state of the art of the different computational methodologies applied to detection and prediction of cancer." @default.
- W2968778421 created "2019-08-22" @default.
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- W2968778421 date "2019-08-18" @default.
- W2968778421 modified "2023-09-30" @default.
- W2968778421 title "A Comprehensive Review on Cancer Detection and Prediction Using Computational Methods" @default.
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- W2968778421 doi "https://doi.org/10.1007/978-981-13-8676-3_53" @default.
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