[Management of patients with insomnia and polymorbidity. A draft of the clinical guidelines].

Insomnia is a serious and widespread public health problem, but is often undetected and patients do not receive needed treatment. Insomnia is often comorbid with other diseases and conditions, such as arterial hypertension, type 2 diabetes mellitus, pain syndromes, anxiety and depressive disorders, etc. A separate problem is drug-induced insomnia, when patients develop symptoms due to other diseases treatments.

A machine-learning approach to a mobility policy proposal.

The objective of the URBANITE project is to design an open-data, open-source, smart-city framework to enhance the decision-making processes in European cities. The framework's basis is a robust and user-friendly simulation tool that is supplemented with several innovative service modules. One of the modules, a multi-output, machine-learning unit, is deployed on the simulation results, enabling city officials to more effectively analyse vast quantities of data, discern patterns and trends, and so facilitate advanced policy decisions.

[Management of patients with insomnia and polymorbidity: expert consensus].

Sleep disorders are becoming increasingly important due to the high comorbidity with other diseases and a significant impact on the patient's quality of life. Insomnia is the most common sleep disorder both in the general population and in patients with multimorbid pathology. Its prevalence in the general population is 6-15%, while in patients with somatic diseases it increases up to 20-40% and can reach 90% in patients with comorbid mental disorders.

Artificial intelligence based personalized predictive survival among colorectal cancer patients.

Background And Objective: Colorectal cancer is a major health concern. It is now the third most common cancer and the fourth leading cause of cancer mortality worldwide. The aim of this study was to evaluate the performance of machine learning algorithms for predicting survival of colorectal cancer patients 1 to 5 years after diagnosis, and identify the most important variables.

Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint.

The EU PlatformUptake project's main goal is to investigate the usage of EU open and partly-open platforms in active and healthy aging (AHA) and ambient-assisted living (AAL) domains, from a software viewpoint. The aim of the project was to provide tools for a deeper interpretation and examination of the platforms, gather user feedback, and use it to improve the state-of-the-art approach in the AHA and AAL domains, and define instructions to enhance the platforms within the recommended order. The emphasis is on the software viewpoint for decision makers.