SUN'IY INTELLEKTDAN FOYDALANISHDA DEPRESSIYA DIAGNOSTIKASIDA LEKSIK MARKERLAR
Keywords:
депрессия, диагностика, искусственный интеллект, обработки естественного языка, лексические маркеры, машинное обучение, глубокое обучение.Abstract
The application of artificial intelligence and natural language processing for diagnosing depression using lexical markers in text is considered.
Natural language processing methods and machine/deep learning algorithms that demonstrate high accuracy in identifying linguistic features of depression are analyzed. The problems and prospects of a multimodal approach and the development of transparent artificial intelligence systems for clinical practice are discussed.
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Copyright (c) 2025 Курбонов Дониёрбек Кахрамонович, Зулунова Мунисахон
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