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Overcome Challenges in Primary Datasets: Practical Exploration and Preprocessing of Breast Cancer Dataset by Applying Machine Learning Algorithms

Abstract
In 2020 Cancer caused 685,000 deaths worldwide, thus it is considered the second lethal disease globally.Because diagnosis of Metastatic Breast Cancer (MBC) patients is challenging, a prediction tool is needed during the diagnosis stage to define and prioritize patients who are more likely to develop metastasis and provide them with optimal palliative or supportive care.Machine Learning (ML) as a ...
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Keywords
Preprocessor
Computer science
Machine learning
Data pre-processing
Artificial intelligence
Algorithm
Breast cancer
Data mining
Primary (astronomy)
Cancer
Medicine
Physics
Astronomy
Internal medicine


pdf file

Overcome Challenges in Primary Datasets: Practical Exploration and Preprocessing of Breast Cancer Dataset by Applying Machine Learning Algorithms
pdf file

Overcome Challenges in Primary Datasets: Practical Exploration and Preprocessing of Breast Cancer Dataset by Applying Machine Learning Algorithms

Abstract
In 2020 Cancer caused 685,000 deaths worldwide, thus it is considered the second lethal disease globally.Because diagnosis of Metastatic Breast Cancer (MBC) patients is challenging, a prediction tool is needed during the diagnosis stage to define and prioritize patients who are more likely to develop metastasis and provide them with optimal palliative or supportive care.Machine Learning (ML) as a ...
View PDF
Keywords
Preprocessor
Computer science
Machine learning
Data pre-processing
Artificial intelligence
Algorithm
Breast cancer
Data mining
Primary (astronomy)
Cancer
Medicine
Physics
Astronomy
Internal medicine


pdf file