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ILPD (Indian Liver Patient Dataset) Data Set
Download: Data Folder, Data Set Description

Abstract: This data set contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos.

Data Set Characteristics:  

Multivariate

Number of Instances:

583

Area:

Life

Attribute Characteristics:

Integer, Real

Number of Attributes:

10

Date Donated

2012-05-21

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

46332


Source:

1. Bendi Venkata Ramana
ramana.bendi '@' gmail.com
Associate Professor,
Department of Information Technology,
Aditya Instutute of Technology and Management,
Tekkali - 532201, Andhra Pradesh, India.

2. Prof. M. Surendra Prasad Babu
drmsprasadbabu '@' yahoo.co.in
Deptartment of Computer Science & Systems Engineering,
Andhra University College of Engineering,
Visakhapatnam-530 003 Andhra Pradesh, India.

3.Prof. N. B. Venkateswarlu
venkat_ritch '@' yahoo.com
Department of Computer Science and Engineering,
Aditya Instutute of Technology and Management,
Tekkali - 532201, Andhra Pradesh, India.


Data Set Information:

This data set contains 416 liver patient records and 167 non liver patient records.The data set was collected from north east of Andhra Pradesh, India. Selector is a class label used to divide into groups(liver patient or not). This data set contains 441 male patient records and 142 female patient records.

Any patient whose age exceeded 89 is listed as being of age "90".


Attribute Information:

1. Age Age of the patient
2. Gender Gender of the patient
3. TB Total Bilirubin
4. DB Direct Bilirubin
5. Alkphos Alkaline Phosphotase
6. Sgpt Alamine Aminotransferase
7. Sgot Aspartate Aminotransferase
8. TP Total Protiens
9. ALB Albumin
10. A/G Ratio Albumin and Globulin Ratio
11. Selector field used to split the data into two sets (labeled by the experts)


Relevant Papers:

1. Bendi Venkata Ramana, Prof. M. S. Prasad Babu and Prof. N. B. Venkateswarlu, “A Critical Comparative Study of Liver Patients from USA and INDIA: An Exploratory Analysis”, International Journal of Computer Science Issues, ISSN :1694-0784, May 2012.
2. Bendi Venkata Ramana, Prof. M. S. Prasad Babu and Prof. N. B. Venkateswarlu, “A Critical Study of Selected Classification Algorithms for Liver Disease Diagnosis”, International Journal of Database Management Systems (IJDMS), Vol.3, No.2, ISSN : 0975-5705, PP 101-114, May 2011.



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