A Multi-model Approach in Developing an Intelligent Assistant for Diagnosis Recommendation in Clinical Health Systems

• Main Authors: Pulmano, Christian E, Estuar, Ma. Regina Justina E
• Format: text
• Published: Archīum Ateneo 2017
• Subjects: artificial neural network; intelligent assistant; medical diagnosis; health intelligent systems; Computer Sciences; Databases and Information Systems; Health Information Technology; Medicine and Health Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/29; https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1028&context=discs-faculty-pubs
• Institution: Ateneo De Manila University

Clinical health information systems capture massive amounts of unstructured data from various health and medical facilities. This study utilizes unstructured patient clinical text data to develop an intelligent assistant that can identify possible related diagnoses based on a given text input. The a...