Dataset information

The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil.

You can find the database as well as additional information at the link below.

Absenteeism at work - UC Irvine Machine Learning Repository

Attribute Information

1. Individual identification (ID)

2. Reason for absence (ICD).

Absences attested by the International Code of Diseases (ICD) stratified into 21 categories (I to XXI) as follows:

I Certain infectious and parasitic diseases  

II Neoplasms  

III Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism  

IV Endocrine, nutritional and metabolic diseases  

V Mental and behavioural disorders  

VI Diseases of the nervous system  

VII Diseases of the eye and adnexa  

VIII Diseases of the ear and mastoid process  

IX Diseases of the circulatory system  

X Diseases of the respiratory system  

XI Diseases of the digestive system  

XII Diseases of the skin and subcutaneous tissue  

XIII Diseases of the musculoskeletal system and connective tissue  

XIV Diseases of the genitourinary system  

XV Pregnancy, childbirth and the puerperium  

XVI Certain conditions originating in the perinatal period  

XVII Congenital malformations, deformations and chromosomal abnormalities  

XVIII Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified  

XIX Injury, poisoning and certain other consequences of external causes  

XX External causes of morbidity and mortality  

XXI Factors influencing health status and contact with health services.

And 7 categories without (CID) patient follow-up (22), medical consultation (23), blood donation (24), laboratory examination (25), unjustified absence (26), physiotherapy (27), dental consultation (28).

3. Month of absence

4. Day of the week (Monday (2), Tuesday (3), Wednesday (4), Thursday (5), Friday (6))

5. Seasons

6. Transportation expense

7. Distance from Residence to Work (kilometers)

8. Service time

9. Age

10. Work load Average/day

11. Hit target

12. Disciplinary failure (yes=1; no=0)

13. Education (high school (1), graduate (2), postgraduate (3), master and doctor (4))

14. Son (number of children)

15. Social drinker (yes=1; no=0)

16. Social smoker (yes=1; no=0)

17. Pet (number of pet)

18. Weight

19. Height

20. Body mass index

21. Absenteeism time in hours (variable that will be used to build the categorical target)