NEURONEXUS: EMPIRICAL VALIDATION OF AN ALGORITHM FOR PERSONALIZED CONNECTION OF NEURODIVERGENT INDIVIDUALS TO INTEGRAL CARE PROFESSIONALS

NEURONEXUS: EMPIRICAL VALIDATION OF AN ALGORITHM FOR PERSONALIZED CONNECTION OF NEURODIVERGENT INDIVIDUALS TO INTEGRAL CARE PROFESSIONALS

• Autor
• Bianca Miyuki Ogawa de Santana
• Co-autores
• Beatriz da Costa Prado , Johann De Carvalho Salamon , Lucas Gabriel Cardoso Jandrey , Gabriel Felipe Cotta Cirino , Jéssica Pereira da Silva
• Resumo

• This study presents NeuroNexus, a conceptual early-stage project that aims to create a technological bridge connecting neurodivergent individuals[7] to integral care professionals. he initiative combines quantitative needs assessment, semantic profile modeling, and machine learning algorithms to integrate clinical data, communication preferences, and life contexts. To validate and enhance the platform's architecture, a comprehensive market survey[3] was conducted with 62 patients/family members and 32 professionals. The results reveal the main pain points for both groups, such as the high cost of consultations (66% of patients)  and the difficulty in accessing specialists for interdisciplinary work (47% of professionals). The research also confirms a high demand for a technological solution, with 77.6% of patients and 84.4% of professionals believing the platform  would be useful. These empirical findings solidify the theoretical model of Neu- roNexus, which is guided by Information Science and the General Theory of  Computational Informational Unconscious (TG-IIC), and demonstrate a significant potential for social impact by mitigating informational barriers and access  to healthcare.  

• Palavras-chave
• Information Science, Neurodiversity, Artificial Intelligence, Com- prehensive Care, TG-IIC, Empirical Validation, Health Informatics
• Área Temática
• Web Semântica, Linked Data e Recuperação da Informação

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