Today's work environment has a lot of problems including:
Managers setting unachievable goals Competition among industries high risk of being unemployed As a result, employees are likely to face huge pressure and work stress which has effect on employee health
Aim of the portfolio
To predict hours of Absenteeism at work using the features provided in the data set with information like:
- How far they live from their workplace.
- How many children and pets they have.
- Do they have higher education?
- Individual identification (ID)
- 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 (target)