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Cervical Cancer Dataset - Dataset - CKAN
- data.poltekkes-smg.ac.id
Updated Oct 8, 2024
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EmailClick to copy linkLink copiedCite(2024). Cervical Cancer Dataset - Dataset - CKAN [Dataset]. https://data.poltekkes-smg.ac.id/dataset/cervical-cancer-datasetDataset updatedOct 8, 2024LicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionCervical cancer is one of the leading causes of cancer-related deaths among women worldwide. Early detection and accurate prediction of cervical cancer can significantly improve the chances of successful treatment and save lives. This dataset help to develop a predictive model using machine learning techniques to identify individuals at high risk of cervical cancer, allowing for timely intervention and medical care.
Cervical Cancer Dataset
- kaggle.com
Updated Aug 9, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRanzeet Raut (2023). Cervical Cancer Dataset [Dataset]. https://www.kaggle.com/datasets/ranzeet013/cervical-cancer-datasetCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedAug 9, 2023AuthorsRanzeet RautLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionCervical cancer is one of the leading causes of cancer-related deaths among women worldwide. Early detection and accurate prediction of cervical cancer can significantly improve the chances of successful treatment and save lives. This dataset help to develop a predictive model using machine learning techniques to identify individuals at high risk of cervical cancer, allowing for timely intervention and medical care.
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cervical cancer is one of the leading causes of cancer-related deaths among women worldwide. Early detection and accurate prediction of cervical cancer can significantly improve the chances of successful treatment and save lives. This dataset help to develop a predictive model using machine learning techniques to identify individuals at high risk of cervical cancer, allowing for timely intervention and medical care.