The "Burn Depression Checklist Dataset" is a comprehensive dataset designed to aid in the analysis and understanding of depressive symptoms. The dataset is comprised of 2,600 entries, each corresponding to a unique individual, with 25 features that encapsulate various dimensions of depression, ranging from emotional and psychological symptoms to behavioral patterns.

Dataset Files

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[1] John Smith, "Burn Depression Checklist Dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/20t2-7t52. Accessed: Feb. 10, 2025.
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doi = {10.21227/20t2-7t52},
url = {http://dx.doi.org/10.21227/20t2-7t52},
author = {John Smith },
publisher = {IEEE Dataport},
title = {Burn Depression Checklist Dataset},
year = {2024} }
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T1 - Burn Depression Checklist Dataset
AU - John Smith
PY - 2024
PB - IEEE Dataport
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John Smith. (2024). Burn Depression Checklist Dataset. IEEE Dataport. http://dx.doi.org/10.21227/20t2-7t52
John Smith, 2024. Burn Depression Checklist Dataset. Available at: http://dx.doi.org/10.21227/20t2-7t52.
John Smith. (2024). "Burn Depression Checklist Dataset." Web.
1. John Smith. Burn Depression Checklist Dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/20t2-7t52
John Smith. "Burn Depression Checklist Dataset." doi: 10.21227/20t2-7t52