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.

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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
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article

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

Nihan Potas, Faruk Erencan Balaban
2 citations
Florence Nightingale Journal of Nursing
Mental Health via Writing
1.29
article

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

Nihan Potas, Faruk Erencan Balaban
article en
2 citations

Abstract

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.

Florence Nightingale Journal of NursingVol. 32(3)
Ankara Hacı Bayram Veli University (TR)
Openalex Percentile: Top 18%
Mental Health via Writing
1.29
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