Determining the Effect of Fear of Illness and Virus Evaluation and Quality of Life on Diagnosis of Social Phobia in Patients With Chronic Disease: Using Machine Learning Approaches
The model is essential for identifying and understanding social phobia factors in patients with chronic diseases. Support vector machine algorithm is an algorithm that is preferred for identifying patients at risk of fear and will facilitate follow-up when integrated into smartphone applications.
Authors
- Nihan Potas (ORCID: https://orcid.org/0000-0002-0393-3135)
- Faruk Erencan Balaban
Institutions
- Ankara Hacı Bayram Veli University (TR)
Publication Details
- Journal
- Florence Nightingale Journal of Nursing
- Published
- 2024-10-31
- DOI
- https://doi.org/10.5152/fnjn.2024.24073
- Citations
- 2
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 1.29