Natural language processing enabled cognitive disease prediction model for varied medical records implemented over ML techniques

Artificial Intelligence technologies are progressing into fields that were formerly believed to be still the domain of domain analysts. Thanks to recent advances in digital form of information processing, artificial learning, and computational resources, which helped personnel involved in healthcare services in various domains. In certain cases, AI and NLP can handle healthcare functions even well than individuals. One of the area in which machine learning along with natural language processing can work is psychological diseases. Anomalous thinking, emotions, and actions are characteristics of mental illnesses. Aberrant inner interactions and actions that defy social expectations could indicate the existence of a cognitive disease. This research paper proposes a cognitive disease prediction model for psychological disorders like, bipolar disorder, obsessive compulsive disorder, and schizophrenia. In the mainstream medical industry, providing cognitive health treatment entails new ways to treat individuals with mental illnesses. Proposed e-healthcare systems provide an extra layer which helps healthcare professional and patients by saving their time in early diagnosis.