The same has happened with other parameters such as the educational level of the patients evaluated.
Patients' knowledge is influenced by socio-demographic parameters such as age and educational level.
Secondly, we also did not include parameters such as socio-economic status and educational level.
In particular, valid data on patient-relevant parameters, such as social skills, language acquisition, educational development (e.g., school performance), professional career, and quality of life are sparse [ 66- 69].
The parameters such as age, gender, the social, economic, educational and professional status of suicide victims play a significant role towards the suicidal behavior.
The main subjects were factors/motives that may influence clinical decision-making other than pure disease-related parameters, such as the role of relatives, the patients' social network and educational level.
However, the result showed no significant differences in other demographic parameters, such as gender, race, religion, number of pre-school children, family size, educational level, or family income.
The scoring was calculated on the basis of several parameters such as ownership/type of residence (rent or own), number of rooms in the house, educational status, salary, occupation, material possessions (cycle, TV, audio, car etc).
Optimal-transport algorithms ferret out the best solutions, based on parameters such as distance, road congestion, and conflagration size.
