## 2 Methods Used for Integrated Monitoring and Management of Diet-Related Diseases
### Tailored Patient-Centric RHMS--RO-SmartAgeing System, NeuroPredict Platform, and HepatoCnect System
#### 2.2.2 NeuroPredict Platform
The complexity of the platform manifests through a diverse range of functionalities encompassing health status monitoring, ongoing activity tracking, activity detection, alert mechanisms for unforeseen events or aberrant values, and support mechanisms for monitored patients and healthcare providers, all augmented by a predictive dimension specifically tailored for neurodegenerative conditions. The specific aspects of the NeuroPredict Platform lie in the following:  
* The formulation of a novel model for personalized, proactive, and predictive care anchored in datasets sourced from medical contexts and shaped within a responsive intelligent environment. It dynamically reacts to the evolving health status of the patient, instantaneously identifies health concerns, issues timely alerts, supports patients in managing their health, and provides enduring support to medical professionals in crafting decisions, including those spanning the long term;
* The compilation of an extensive array of medical, lifestyle, and behavioural parameters culminating in the creation of a tangible dataset. Coupled with specialized AI processing methodologies, this dataset is pivotal in crafting and validating personalized predictive models through longitudinal analyses;
* The scalable architecture of the platform and the smart monitoring environment, foster the seamless integration of emerging smart devices designed for measuring additional medical and behavioural parameters. This scalability augments the spectrum of functionalities and enhances alignment with the dynamic landscape driven by the convergence of the IoMT, AI, and intelligent health monitoring. _NeuroPredict Platform--A smart solution for diet-related disease management_  
As it was developed on the grounds of the RO-SmartAgeing smart monitoring environment, in addition to the capabilities presented in Section 2.1 for the RO-SmartAgeing system, presented here are some others for diet-related disease management addressing a patient with a neurodegenerative disorder:  
* _Predictive modelling_: The platform generates prediction models based on a mix of health, lifestyle, and dietary information using powerful AI. These models can predict how dietary changes may affect health outcomes over time. This proactive, predictive capability enables patients and healthcare professionals to make knowledgeable choices on disease prevention and treatment dietary strategies;
* _Cognitive health integration_: The NeuroPredict Platform integrates cognitive health data as essential components, going beyond typical health monitoring. The platform provides insights into how dietary habits impact cognitive well-being by taking in data from cognitive tests such as the MMSE and ADAS-Cog. This integration is especially useful in the context of diet-related disorders with neurological consequences, since it provides a comprehensive view of the association between nutrition and cognitive health;* _Personalized nutritional guidance_: The platform's AI capabilities extend to individualized dietary guidance. It personalizes recommendations based on a patient's distinct health profile, habits, and cognitive status. This tailored approach is critical in avoiding the generic limitations of traditional nutritional management, ensuring that options are properly customized for the particular requirements of each patient;
* _Adaptive cognitive support_: The platform identifies the cognitive aspect of diet-related disorders and delivers adaptive cognitive assistance. This entails customized procedures targeted at protecting cognitive function via dietary actions. The platform takes an active role in the cognitive well-being of individuals managing diet-related diseases, whether by recommending brain-boosting nutrients or adapting dietary plans for preventing cognitive decline;
* _Use of open data sources_: The NeuroPredict Platform distinguishes itself by making use of open data sources associated with neurodegenerative disorders.