Drug discovery for breast cancer based on big data analytics techniques

2015 ◽  
Author(s):  
Rostom Mennour Constantine ◽  
Mohamed Batouche
Keyword(s):  
Breast Cancer ◽  
Big Data ◽  
Drug Discovery ◽  
Data Analytics ◽  
Big Data Analytics

scholarly journals A Novel Customized Big Data Analytics Framework for Drug Discovery

2018 ◽  
Author(s):  
A. Jainul Fathima ◽  
G. Murugaboopathi
Keyword(s):  
Big Data ◽  
Drug Discovery ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Pharmaceutical Companies ◽  
Biomedical Data ◽  
Analytic Framework ◽  
Computational Tools ◽  
Computational Drug Discovery ◽  
Insight Into

Drug discovery is related to analytics as the method requires a technique to handle the extremely large volume of structured and unstructured biomedical data of multi-dimensional and complexity from pharmaceutical companies. To tackle the complexity of data and to get better insight into the data, big data analytics can be used to integrate the massive amount of pharmaceutical data and computational tools in an analytic framework. This paper presents an overview of big data analytics in the field of drug discovery and outlines an analytic framework which can be applied to computational drug discovery process and briefly discuss the challenges. Hence, big data analytics may contribute to better drug discovery.  

scholarly journals A Novel Customized Big Data Analytics Framework for Drug Discovery

2018 ◽  
Vol 7 (1) ◽  
pp. 145-160
Author(s):  
A. Jainul Fathima ◽  
G. Murugaboopathi ◽  
◽  
Keyword(s):  
Big Data ◽  
Drug Discovery ◽  
Data Analytics ◽  
Big Data Analytics

scholarly journals Prediction of Breast Cancer Using Big Data Analytics

2018 ◽  
Vol 7 (4.6) ◽  
pp. 223
Author(s):  
K. Shailaja ◽  
B. Seetharamulu2 ◽  
M. A. Jabbar
Keyword(s):  
Breast Cancer ◽  
Big Data ◽  
Data Analytics ◽  
Nearest Neighbor ◽  
Big Data Analytics ◽  
The United States ◽  
Structured Data ◽  
Asian Countries ◽  
K Nearest Neighbor ◽  
Original Dataset

Big data is a phrase which is used to report collection of data that vast in size and still growing exponentially with time. It covers structured unstructured and semi-structured data. Now a day’s big data is widely used in healthcare for prediction of diseases. Breast cancer is one of top cancer that occurs in a woman. It is the second main leading reason for the death of a woman in the United States and in Asian countries. If we identify this disease in early stages there is a better chance for curing. For this experiment, we used K nearest neighbor (KNN) algorithm for finding classification accuracy and it is implemented on R tool. We consider Wisconsin breast cancer (original) dataset taken from UCI machine learning repository.  

scholarly journals A Comprehensive Big Data Analytics Based Framework for Premature Recognition of Breast Cancer

2020 ◽  
Vol 9 (3) ◽  
pp. 2188-2192
Keyword(s):  
Breast Cancer ◽  
Big Data ◽  
Data Analytics ◽  
Predictive Analytics ◽  
Big Data Analytics ◽  
Machine Learning Algorithms ◽  
Massive Data ◽  
Healthcare Industry ◽  
Rapid Pace ◽  
Comprehensive Framework

Healthcare industry is fast growing and expanding in rapid pace. The volume and veracity of data generated in the industry is massive and requires huge storages and handling capability. Big data is empowered with such robust abilities and hence most suitable for handing large amount of data. Further, hese data could be utilized towards building predictive and forecasting models. Breast cancer is a deadly form of cancer majorly affecting women around the globe. The concept of big data and predictive analytics is being explored in the paper towards early diagnosis of breast cancer. This paper surveys various literatures available on application of big data analysis for breast cancer. Subsequently a comprehensive framework is being proposed based on the gaps identified. Different machine learning algorithms which can be applied in the framework is also detailed in the paper. Such frameworks when implemented will greatly help in handling the massive data available and aid in early detection of breast cancer.

Sign in / Sign up

Export Citation Format

Share Document