Related Experiment Video
Updated: Feb 12, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
Improving Vital Status Data Using Text Searches
Abstract:
OBJECTIVE: To identify missed deaths in the New York State Cancer Registry database and correct the vital status code. METHODS: The SEER*DMS SQL data search feature was used to identify cases which were potentially miscoded based on key words in the pathology and remarks text section of the abstract and the vital status coded. RESULTS: The SEER*DMS SQL data search feature allowed for miscoded vital status cases to be easily identified and corrected in our database. CONCLUSIONS: Improving the quality of the data being used for analysis, despite the quantity of changes being made, will in time generate more accurate survival statistics for the state of New York.
Related Concept Videos
Introduction to Vital Signs
Vital signs help healthcare professionals assess an individual's well-being and detect any functional changes...
Guidelines For Measuring Vital Signs
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
Data Reporting and Recording
Marcia's Theory of Identity Status
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...

