CRPMKB:Knowledge Base for Cancer Risk Prediction Models

PMID

ID of the literature in the PubMed database

Description

A description for the literature

Cancer type

Which type of the cancers was recorded

Publication year

Year of the literature published

MID

ID in the database, M refers to cancer risk prediction model

Model name

The name of the cancer risk prediction model

Other notes

THe detailed explanations for models, e.g. "for premenopausal women"

Model type

The type of the model,including logistic regression(LR),artificial neural network (ANN) and so on

Phase

The phase of the model,including development and validation

AUC

Area under the curve

Validation method

Internal validation or external validation

Specificity

Specificity relates to the test's ability to identify negative results

Sensitivity

Sensitivity relates to the test's ability to identify positive results

Accuracy

Accuracy of prediction results

Other evaluation indexes

Other indexes to assess the performance of models, e.g. Observed to Expected ratio

Variables

Variables used in the models

PID

ID in the database, P refers to population

Cohort name

The name of source of samples

Cancer sample number;
Control sample number

The number of patients with cancer and controls respectively in the sample

Female number;
Male number

The number of females and males respectively in the sample

Gender

The gender of the sample

Mean age;
Standard deviation of age;
Interquartile of age;
Median age;
Lower age limit;
Upper age limit

Age distribution of the sample

Ethnicity;
Country;
Continent;
Population size;
Sampling time

The other specific data of sample