## 3 Perspectives and Outcomes of the Presented RHMS with a Focus on Diet-Related Approaches
### Schizophrenia, Dietary Habits, and Physical Health
#### 3.2.2 RHMS Role (NeuroPredict Platform) in Managing Schizophrenia  
Through its innovative features, the NeuroPredict Platform is a cutting-edge RHMS, offering a paradigm shift in the management of schizophrenia. NeuroPredict seamlessly integrates a variety of sensors and devices strategically positioned to collect and transmit crucial health data to a centralized web platform. Moreover, with its user-friendly interface and advanced analytics, it emerges as a pivotal tool in the comprehensive management of schizophrenia, ensuring a holistic approach that extends beyond conventional pharmacotherapy. Real-time data obtained through the NeuroPredict Platform serve as game-changers in the monitoring and management of schizophrenia. The immediacy of data transmission allows healthcare professionals to detect subtle changes in a patient's condition promptly. Early detection is crucial in schizophrenia management, as it facilitates timely interventions to prevent the escalation of symptoms or potential relapses. The platform's ability to deliver real-time insights into medication adherence ensures that adjustments can be made promptly if necessary. Healthcare providers can proactively address emerging issues, optimize treatment plans, and personalize interventions based on the individual's evolving health profile. The NeuroPredict Platform, thus, fosters a dynamic and responsive approach to schizophrenia management, promoting improved outcomes and a higher quality of life for individuals living with this complex mental health disorder. Schizophrenia may influence numerous factors including physiological measures (heart rate variability (HRV), blood volume pulse, blood pressure, skin temperature, electromyography, or cortisol levels) and behavioural data, which may include sleep-related features, daily activities, or voice characteristics. As a result, gathering behavioural and medical data has been widely used for general mental health management and monitoring. The transformation of raw sensor data into markers of mental health-related behaviours and states involves converting the collected data into features; machine learning (ML) models are then employed to define behavioural markers based on these features. Smart devices, such as smartwatches, serve to passively monitor behaviour by detecting location, acceleration, or social activities. Notably, in the realm of schizophrenia, physiological sensing, particularly the measurement of HRV data as an indicator of decompensation, has shown promising outcomes in monitoring this condition. In addition, individuals with schizophrenia exhibit a correlation between reduced GPS mobility, heightened negative symptom severity, and motivational deficits. In the context of the NeuroPredict Platform, the management of schizophrenia can be addressed in relation to the smart components that NeuroPredict integrates:  
1. **Diet**: Understanding the intricate relationship between dietary choices and schizophrenia risk requires sophisticated technological tools. The glycemia sensor, a device designed to monitor blood glucose levels, becomes a key player in unravelling the impact of dietary decisions on blood sugar regulation. Given the emerging link between diabetes and schizophrenia in certain studies [147], continuous monitoring of glucose levels provides valuable insights. Additionally, the smart body scale serves as a comprehensive tool for tracking changes in weight and body composition. This not only offers insights into nutritional status but also acts as an indicator of dietary habits and potential metabolic influences on mental health. The continuous monitoring of these physiological markers contributes to a more nuanced understanding of the interplay between diet and schizophrenia risk. Diet monitoring within the NeuroPredict Platform for patients with schizophrenia could have a significant impact on their disease management and overall health. Several effects that can intervene in this process may be, as follows:
2.