Artificial Intelligence Research in Mental Health: A Bibliometric Evaluation

Emrah Atılgan; Esra Uslu

Makale detayları

Artificial Intelligence Research in Mental Health: A Bibliometric Evaluation

Yazarlar:

Emrah Atılgan | Esra Uslu

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Psikiyatri | Ruh Sağlığı Hizmetleri

Dergi:

Osmangazi Tıp Dergisi Vol.46 Issue 4, pp.627-636

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001314134

pISSN:

1305-4953

Anahtar kelimeler:

Özet:

 This study aimed to bibliometrically examine artificial intelligence publications in the field of mental health. In the study, 2773 articles were identified with the keywords mental health and artificial intelligence in English in the Web of Science database between 1984 and 2024 were examined. Data analysis and graphical presentation were conducted using Bibliometrix Package in R software. The average publication age of the studies was 2.7, and the annual increase rate was 18.36. The most active country was the United States of America and Chine, the journal with the most publications was the Frontiers in Psychiatry. The subject of machine learning is both the most frequently used and the leading theme in the field. Similarly, Chatbot is among the themes that shape the field. Alzheimer Disease and bipolar disorder were emerging or declining themes. Deep learning, schizophrenia and dementia topics are at the intersection of themes that shape the field, continue to develop, have developed but remained isolated, and are emerging or declining. This study analyzed the performance and scope of AI studies in the field of mental health using bibliometric data. The results can guide informatics and mental health professionals interested in the subject in their studies.

 This study aimed to bibliometrically examine artificial intelligence publications in the field of mental health. In the study, 2773 articles were identified with the keywords mental health and artificial intelligence in English in the Web of Science database between 1984 and 2024 were examined. Data analysis and graphical presentation were conducted using Bibliometrix Package in R software. The average publication age of the studies was 2.7, and the annual increase rate was 18.36. The most active country was the United States of America and Chine, the journal with the most publications was the Frontiers in Psychiatry. The subject of machine learning is both the most frequently used and the leading theme in the field. Similarly, Chatbot is among the themes that shape the field. Alzheimer Disease and bipolar disorder were emerging or declining themes. Deep learning, schizophrenia and dementia topics are at the intersection of themes that shape the field, continue to develop, have developed but remained isolated, and are emerging or declining. This study analyzed the performance and scope of AI studies in the field of mental health using bibliometric data. The results can guide informatics and mental health professionals interested in the subject in their studies.

 This study aimed to bibliometrically examine artificial intelligence publications in the field of mental health. In the study, 2773 articles were identified with the keywords mental health and artificial intelligence in English in the Web of Science database between 1984 and 2024 were examined. Data analysis and graphical presentation were conducted using Bibliometrix Package in R software. The average publication age of the studies was 2.7, and the annual increase rate was 18.36. The most active country was the United States of America and Chine, the journal with the most publications was the Frontiers in Psychiatry. The subject of machine learning is both the most frequently used and the leading theme in the field. Similarly, Chatbot is among the themes that shape the field. Alzheimer Disease and bipolar disorder were emerging or declining themes. Deep learning, schizophrenia and dementia topics are at the intersection of themes that shape the field, continue to develop, have developed but remained isolated, and are emerging or declining. This study analyzed the performance and scope of AI studies in the field of mental health using bibliometric data. The results can guide informatics and mental health professionals interested in the subject in their studies.

 Bu çalışmada ruh sağlığı alanındaki yapay zeka yayınlarının bibliyometrik olarak incelenmesi amaçlanmıştır. Çalışmada 1984 ile 2024 yılları arasında Web of Science veri tabanında İngilizce mental health and artificial intelligence- ruh sağlığı ve yapay zeka anahtar kelimeleri ile belirlenen 2773 makale incelenmiştir. Veri analizi ve grafiksel sunumlar, R yazılımındaki Bibliometrix Paketi kullanılarak yapılmıştır. Çalışmaların ortalama yayın yaşı 2,7 ve yıllık artış oranı 18,36 olarak belirlenmiştir. En aktif ülke Amerika Birleşik Devletleri ve Çin olup, en fazla yayın yapan dergi Frontiers in Psychiatrydir. Makine öğrenimi konusu, alanın hem en sık kullanılanı hem de öncü temasıdır. Benzer şekilde, Chatbot, alanı şekillendiren temalar arasında yer almaktadır. Alzheimer Hastalığı ve bipolar bozukluk, ortaya çıkan veya kaybolan temalar emerging or declining themes arasındadır. Derin öğrenme, şizofreni ve demans konuları, alanı şekillendiren temaların gelişmeye devam etmekte, gelişmiş ancak izole kalmış, ortaya çıkan veya kaybolmaya başlayanların kesişim noktasında bulunmaktadır. Bu çalışma ile bibliyometrik verileriler kullanarak ruh sağlığı alanındaki YZ çalışmalarının performansı ve kapsamı analiz edilmiştir. Sonuçlar, konuya ilgi duyan bilgi teknolojileri ve ruh sağlığı profesyonellerine çalışmalarında rehberlik edebilir.

Makale detayları

Artificial Intelligence Research in Mental Health: A Bibliometric Evaluation

Yazarlar:

Emrah Atılgan | Esra Uslu

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Psikiyatri | Ruh Sağlığı Hizmetleri

Dergi:

Osmangazi Tıp Dergisi Vol.46 Issue 4, pp.627-636

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001314134

pISSN:

1305-4953

Artificial Intelligence

Bibliometric Analysis

Mental HealthYapay Zeka

Bibliyometrik Analiz

Ruh Sağlığı

Sayı

Makale detayları

Artificial Intelligence Research in Mental Health: A Bibliometric Evaluation

Yazarlar: Emrah Atılgan | Esra Uslu

Yayıncı: Eskişehir Osmangazi University

Ana Başlıklar: Psikiyatri | Ruh Sağlığı Hizmetleri

Dergi: Osmangazi Tıp Dergisi Vol.46 Issue 4, pp.627-636

Belge Tipi: Makale

Yayın Tarihi: 7/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001314134

pISSN: 1305-4953

Artificial Intelligence

Bibliometric Analysis

Mental HealthYapay Zeka

Bibliyometrik Analiz

Ruh Sağlığı

Sayı

Yazarlar:

Emrah Atılgan | Esra Uslu

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Psikiyatri | Ruh Sağlığı Hizmetleri

Dergi:

Osmangazi Tıp Dergisi Vol.46 Issue 4, pp.627-636

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001314134

pISSN:

1305-4953