作者
Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Saqib Hakak, Wazir Zada Khan, Ali Kashif Bashir, Alireza Jolfaei, Usman Tariq
发表日期
2020/10/9
期刊
Multimedia Tools and Applications
页码范围
1-25
出版商
Springer US
简介
Stroke is enlisted as one of the leading causes of death and serious disability affecting millions of human lives across the world with high possibilities of becoming an epidemic in the next few decades. Timely detection and prompt decision making pertinent to this disease, plays a major role which can reduce chances of brain death, paralysis and other resultant outcomes. Machine learning algorithms have been a popular choice for the diagnosis, analysis and predication of this disease but there exists issues related to data quality as they are collected cross-institutional resources. The present study focuses on improving the quality of stroke data implementing a rigorous pre-processing technique. The present study uses a multimodal stroke dataset available in the publicly available Kaggle repository. The missing values in this dataset are replaced with attribute means and LabelEncoder technique is applied to …
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