دورية أكاديمية

A Text-Mining Analysis of Research Trends in Animal-Assisted Therapy

التفاصيل البيبلوغرافية
العنوان: A Text-Mining Analysis of Research Trends in Animal-Assisted Therapy
المؤلفون: Shin-Ja Lee, Geun-Hyeon Kim, Yea-Hwang Moon, Sung-Sill Lee
المصدر: Animals, Vol 13, Iss 19, p 3133 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Veterinary medicine
LCC:Zoology
مصطلحات موضوعية: animal-assisted therapy, text mining, big data, Veterinary medicine, SF600-1100, Zoology, QL1-991
الوصف: Text-mining techniques were used to provide basic data to related policy stakeholders and academic researchers by collecting and analyzing research trends related to animal-mediated healing in a short time. A total of 776 studies were collected using the keyword “animal-assisted therapy” (AAT) in the search engine PubMed, which covers a wide range of topics related to health sciences, biomedical research, and health psychology. Four analysis methods were employed. “Dog” was the most commonly utilized animal in AAT. This study also identified individuals with autism spectrum disorder and post-traumatic stress disorder as the primary research participants. Finally, the terms “health care” and “blood pressure” were identified, indicating that AAT has a positive impact on improving blood pressure and enhancing heart rate. These findings demonstrate that AAT research is being actively pursued in various fields, such as social sciences, medicine, and psychology.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-2615
Relation: https://www.mdpi.com/2076-2615/13/19/3133; https://doaj.org/toc/2076-2615
DOI: 10.3390/ani13193133
URL الوصول: https://doaj.org/article/dde13635ee0c4e15b9a359137fe94da0
رقم الأكسشن: edsdoj.13635ee0c4e15b9a359137fe94da0
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20762615
DOI:10.3390/ani13193133