diff --git a/scripts/cervical_cancer.json b/scripts/cervical_cancer.json new file mode 100644 index 000000000..2421c9403 --- /dev/null +++ b/scripts/cervical_cancer.json @@ -0,0 +1,172 @@ +{ + "citation": "Kelwin Fernandes, Jaime S. Cardoso, and Jessica Fernandes. 'Transfer Learning with Partial Observability Applied to Cervical Cancer Screening.' Iberian Conference on Pattern Recognition and Image Analysis. Springer International Publishing, 2017.", + "description": "This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.", + "encoding": "ISO-8859-1", + "homepage": "http://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29", + "keywords": [ + "cervical cancer", + "classification" + ], + "name": "cervical-cancer", + "resources": [ + { + "dialect": { + "delimiter": "," + }, + "name": "risk_factors_cervical_cancer", + "schema": { + "fields": [ + { + "name": "Age", + "type": "int" + }, + { + "name": "Number of sexual partners", + "type": "int" + }, + { + "name": "First sexual intercourse (age)", + "type": "int" + }, + { + "name": "Num of pregnancies", + "type": "int" + }, + { + "name": "Smokes", + "type": "int" + }, + { + "name": "Smokes (years)", + "type": "int" + }, + { + "name": "Smokes (packs/year)", + "type": "int" + }, + { + "name": "Hormonal Contraceptives", + "type": "int" + }, + { + "name": "Hormonal Contraceptives (years)", + "type": "int" + }, + { + "name": "IUD", + "type": "int" + }, + { + "name": "IUD (years)", + "type": "int" + }, + { + "name": "STDs", + "type": "int" + }, + { + "name": "STDs (number)", + "type": "int" + }, + { + "name": "STDs:condylomatosis", + "type": "int" + }, + { + "name": "STDs:cervical condylomatosis", + "type": "int" + }, + { + "name": "STDs:vaginal condylomatosis", + "type": "int" + }, + { + "name": "STDs:vulvo-perineal condylomatosis", + "type": "int" + }, + { + "name": "STDs:syphilis", + "type": "int" + }, + { + "name": "STDs:pelvic inflammatory disease", + "type": "int" + }, + { + "name": "STDs:genital herpes", + "type": "int" + }, + { + "name": "STDs:molluscum contagiosum", + "type": "int" + }, + { + "name": "STDs:AIDS", + "type": "int" + }, + { + "name": "STDs:HIV", + "type": "int" + }, + { + "name": "STDs:Hepatitis B", + "type": "int" + }, + { + "name": "STDs:HPV", + "type": "int" + }, + { + "name": "STDs: Number of diagnosis", + "type": "int" + }, + { + "name": "STDs: Time since first diagnosis", + "type": "int" + }, + { + "name": "STDs: Time since last diagnosis", + "type": "int" + }, + { + "name": "Dx:Cancer", + "type": "int" + }, + { + "name": "Dx:CIN", + "type": "int" + }, + { + "name": "Dx:HPV", + "type": "int" + }, + { + "name": "Dx", + "type": "int" + }, + { + "name": "Hinselmann: target variable", + "type": "int" + }, + { + "name": "Schiller: target variable", + "type": "int" + }, + { + "name": "Cytology: target variable", + "type": "int" + }, + { + "name": "Biopsy: target variable", + "type": "int" + } + ] + }, + "url": "http://archive.ics.uci.edu/ml/machine-learning-databases/00383/risk_factors_cervical_cancer.csv" + } + ], + "retriever": "True", + "retriever_minimum_version": "2.0.dev", + "title": "Cervical cancer (Risk Factors) Data Set", + "version": "1.0.0" +}