当前位置： SCI文献检索 > COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE期刊下所有文献 > TAQIH, a tool for tabular data quality assessment and improvement in the context of health data.

TAQIH, a tool for tabular data quality assessment and improvement in the context of health data.

Abstract：

BACKGROUND AND OBJECTIVES:Data curation is a tedious task but of paramount relevance for data analytics and more specially in the health context where data-driven decisions must be extremely accurate. The ambition of TAQIH is to support non-technical users on 1) the exploratory data analysis (EDA) process of tabular health data, and 2) the assessment and improvement of its quality. METHODS:A web-based tool has been implemented with a simple yet powerful visual interface. First, it provides interfaces to understand the dataset, to gain the understanding of the content, structure and distribution. Then, it provides data visualization and improvement utilities for the data quality dimensions of completeness, accuracy, redundancy and readability. RESULTS:It has been applied in two different scenarios. (1) The Northern Ireland General Practitioners (GPs) Prescription Data, an open data set containing drug prescriptions. (2) A glucose monitoring tele health system dataset. Findings on (1) include: Features that had significant amount of missing values (e.g. AMP_NM variable 53.39%); instances that have high percentage of variable values missing (e.g. 0.21% of the instances with > 75% of missing values); highly correlated variables (e.g. Gross and Actual cost almost completely correlated (∼ + 1.0)). Findings on (2) include: Features that had significant amount of missing values (e.g. patient height, weight and body mass index (BMI) (> 70%), date of diagnosis 13%)); highly correlated variables (e.g. height, weight and BMI). Full detail of the testing and insights related to findings are reported. CONCLUSIONS:TAQIH enables and supports users to carry out EDA on tabular health data and to assess and improve its quality. Having the layout of the application menu arranged sequentially as the conventional EDA pipeline helps following a consistent analysis process. The general description of the dataset and features section is very useful for the first overview of the dataset. The missing value heatmap is also very helpful in visually identifying correlations among missing values. The correlations section has proved to be supportive as a preliminary step before further data analysis pipelines, as well as the outliers section. Finally, the data quality section provides a quantitative value to the dataset improvements.

journal_name

Comput Methods Programs Biomed

journal_title

Computer methods and programs in biomedicine

authors

Álvarez Sánchez R,Beristain Iraola A,Epelde Unanue G,Carlin P

doi

10.1016/j.cmpb.2018.12.029

subject

Has Abstract

pub_date

2019-11-01 00:00:00

pages

104824

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(18)30418-8

journal_volume

181

pub_type

杂志文章

在线工具

TAQIH, a tool for tabular data quality assessment and improvement in the context of health data.