1 Ocak 2024 Dergi makalesi Açık Erişim

Kizilay, Elif; Arslan, Berat; Verim, Burcu; Demirlek, Cemal; Demir, Muhammed; Cesim, Ezgi; Eyuboglu, Merve Sumeyye; Ozbek, Simge Uzman; Sut, Ekin; Yalincetin, Berna; Bora, Emre

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{
  "@context": "https://schema.org/", 
  "@id": 276221, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Hlth Sci Inst, Dept Neurosci, Izmir, Turkiye", 
      "name": "Kizilay, Elif"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Hlth Sci Inst, Dept Neurosci, Izmir, Turkiye", 
      "name": "Arslan, Berat"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Hlth Sci Inst, Dept Neurosci, Izmir, Turkiye", 
      "name": "Verim, Burcu"
    }, 
    {
      "@type": "Person", 
      "name": "Demirlek, Cemal"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Hlth Sci Inst, Dept Neurosci, Izmir, Turkiye", 
      "name": "Demir, Muhammed"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Hlth Sci Inst, Dept Neurosci, Izmir, Turkiye", 
      "name": "Cesim, Ezgi"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Hlth Sci Inst, Dept Neurosci, Izmir, Turkiye", 
      "name": "Eyuboglu, Merve Sumeyye"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Fac Med, Dept Psychiat, Izmir, Turkiye", 
      "name": "Ozbek, Simge Uzman"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Fac Med, Dept Child & Adolescent Psychiat, Izmir, Turkiye", 
      "name": "Sut, Ekin"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Dokuz Eylul Univ, Hlth Sci Inst, Dept Neurosci, Izmir, Turkiye", 
      "name": "Yalincetin, Berna"
    }, 
    {
      "@type": "Person", 
      "name": "Bora, Emre"
    }
  ], 
  "datePublished": "2024-01-01", 
  "description": "<p>Identifying individuals at clinical high risk for psychosis (CHR-P) - P) is crucial for preventing psychosis and improving the prognosis for schizophrenia. Individuals at CHR-P may exhibit mild forms of formal thought disorder (FTD), making it possible to identify them using natural language processing (NLP) methods. In this study, speech samples of 62 CHR-P individuals and 45 healthy controls (HCs) were elicited using Thematic Apperception Test images. The evaluation involved various NLP measures such as semantic similarity, generic, and part-of-speech (POS) features. The CHR-P group demonstrated higher sentence-level semantic similarity and reduced mean image-to-text similarity. Regarding generic analysis, they demonstrated reduced verbosity and produced shorter sentences with shorter words. The POS analysis revealed a decrease in the utilization of adverbs, conjunctions, and first-person singular pronouns, alongside an increase in the utilization of adjectives in the CHR-P group compared to HC. In addition, we developed a machine-learning model based on 30 NLP-derived features to distinguish between the CHR-P and HC groups. The model demonstrated an accuracy of 79.6 % and an AUC-ROC of 0.86. Overall, these findings suggest that automated language analysis of speech could provide valuable information for characterizing FTD during the clinical high-risk phase and has the potential to be applied objectively for early intervention for psychosis.</p>", 
  "headline": "Automated linguistic analysis in youth at clinical high risk for psychosis", 
  "identifier": 276221, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Automated linguistic analysis in youth at clinical high risk for psychosis", 
  "url": "https://aperta.ulakbim.gov.tr/record/276221"
}