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Analyzing Schizophrenic Tendencies using AI and Preliminary Research

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Author :  Tingzhi Wang1 and Austin Amakye Ansah2

Affiliation :  California State Polytechnic University

Country :  USA

Category :  Networks & Communications

Volume, Issue, Month, Year :  15, 11, June, 2025

Abstract :


MindBalance is a mobile application developed to provide real-time support for individuals experiencing symptoms of schizophrenia. The platform integrates cognitive assessment, auditory hallucination validation, positive affirmations, and psychoeducation into a single accessible tool [6]. It features a semantic fluency test that utilizes a Siamese neural network trained on the AnSim dataset to detect signs of disorganized thinking, and an auditory validation program that compares user-described sounds to real-world audio recordings using a large language model [7]. Positive affirmations are generated through the Google Gemini model to reframe negative thought patterns in real time. Experiments were conducted to validate the system's core functions: a Siamese network assessed semantic coherence between animal name pairs, and a large language model evaluated discrepancies between perceived and recorded sounds. Results demonstrated that lightweight models could accurately detect semantic disorganization and auditory inconsistencies, supporting the feasibility of using AI-driven mobile tools for real-time schizophrenia symptom monitoring [8].

Keyword :  AI, Schizophrenia, Diagnostic, YaMNet, Siamese Neural Network

Journal/ Proceedings Name :  CS & IT

URL :  https://aircconline.com/csit/abstract/v15n11/csit151104.html

User Name : alex
Posted 25-05-2026 on 14:23:30 AEDT



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