Constarium
← Search

Data · dataset · 2017

Future of Science: Detecting Cancer

Listed in DataCite

Using Excel Data Analysis Tools and BigML Machine Learning platform, we tested correlation between biopsy data for breast cancer and created a model which helps to distinguish between benign and malignant tumors.

Description

Data set of oncology patients were used to analyze links between 10 indicators collected by biopsy non- cancerous and cancerous tumours. Created model can be used as a future medical science tool and can be available to specially trained histology nurses in rural areas.

Developed model that can be used to detect cancer on early stages is especially important in the view of the fact that detecting cancer at stage IV give patients of about 22% of survival rate 1.

Links

Topics

Inferred from text
Cancer 75%

Related

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.462100613 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
byte_sizesource · DataCiteconnector:datacite@1.0.0
concepts[disease].local:disease:cancerenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
concepts[field].fos:electrical-engineering-electronic-engineering-information-engineeringsource · DataCiteconnector:datacite@1.0.0
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0