A survey of prediction models for breast cancer survivability

作者: Amna Ali , Ali Tufail , Umer Khan , Minkoo Kim

DOI: 10.1145/1655925.1656155

关键词: Less invasiveData scienceComputer scienceField (computer science)Breast cancerSurvivabilityProcess (engineering)Predictive modelling

摘要: Breast cancer prognosis poses a great challenge to the researchers. Recently, there have been breakthroughs in field of bioinformatics and because that new realm breast has opened. The use machine learning data mining techniques revolutionized whole process prognosis. In this paper we present survey those models are being used enhance prediction. Firstly, introduce these secondly give an overview current research carried out using models. We specify different level accuracies claimed by Lastly, conclude despite ongoing efforts towards achieving better capabilities for prediction system, still need much more build accurate less invasive prognostic system can benefit mankind.

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