Impact of information technology supported serious leisure gardening on the wellbeing of older adults: The Turntable project.

Objective: The study presented in this paper aimed to assess the effect of an Information Technology enabled community gardening program for older adults, developed by an international consortium.

Methods: We have executed a quantitative, pre- and post-test field trial with older adult volunteers to test the proposed programme in two European countries, Italy and Belgium (n=98). We used standardized and ad hoc questionnaires to measure changes in the volunteers' mental and psychological state during the trial.

[The low FODMAP diet supported by a mobile application for functional gastrointestinal and inflammatory bowel diseases].

Diseases affecting the gastrointestinal tract such as functional gastrointestinal diseases – including irritable bowel syndrome – as well as inflammatory bowel diseases are on the rise in Hungary. More and more nutritional recommendations are emerging as part of the therapy, but so far there is no uniform recommendation for the dietary management of these gastrointestinal diseases. Among the dietary recommendations that have been made so far, the low FODMAP diet is noteworthy.

Multi-level process mining methodology for exploring disease-specific care processes.

Background: Public healthcare is a complex domain with many actors and highly variable protocols, which makes traditional process mining tools less effective and calls for specialized methods.

Aim: The objective of the work was to develop a generally applicable process mining methodology to explore care processes related to diseases.

Methods: The proposed methodology called Process Mining Methodology for Exploring Disease-specific Care Processes (MEDCP) is based on a systematic, step-wise refinement of the raw event logs by using such a multi-level expert taxonomy of events that encapsulates the professional concepts of the analysis.

Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors.

Background: Using Ambient Assisted Living sensors to detect acute stress could help people mitigate the harmful effects of everyday stressful situations. This would help both the healthy and those affected more by sudden stressors, e.g.

Improved Methods for Mid-Term Blood Glucose Level Prediction Using Dietary and Insulin Logs.

: The daily lifestyle management of diabetes requires accurate predictions of the blood glucose level between meals. The objective of this study was to improve the accuracy achieved by previous work, especially on the mid-term, i.e.

After-meal blood glucose level prediction using an absorption model for neural network training.

Background: Diabetes Mellitus outpatients would benefit from a lifestyle support tool that delivers reliable short term Blood Glucose Level (BGL) predictions.

Aim: To develop a method for BGL prediction based on the baseline BGL, the insulin dosing and a dietary log.

Methods: A new training method is proposed for a neural network in which an absorption model is applied that uses the nutrient contents of meals.

Blood Glucose Level Prediction for Diabetics Based on Nutrition and Insulin Administration Logs Using Personalized Mathematical Models.

According to recent surveys, the current ways of diabetics trying to estimate their insulin need based on experience and conjecture are sometimes inefficient in practice. This paper proposes a prediction algorithm and presents the validation of the model in outpatient care. The algorithm consists of two state-of-the-art models that calculate nutrition absorption and glycaemia including insulin evolution.

Correlation Clustering of Stable Angina Clinical Care Patterns for 506 Thousand Patients.

Objectives: Our goal was to apply statistical and network science techniques to depict how the clinical pathways of patients can be used to characterize the practices of care providers.

Methods: We included the data of 506,087 patients who underwent procedures related to ischemic heart disease. Patients were assigned to one of the 136 primary health-care centers using a voting scheme based on their residence.

[Support of diabetes dietary management and self-management using mobile applications].

The key components of successful diabetes therapy are pharmacotherapy, hospital care and lifestyle education. Lifestyle education, self-management, and composing the right diet can be effectively supported with mobile applications. In this paper Hungarian mobile applications are reviewed and compared to some international competitors.

Stress Detection Using Low Cost Heart Rate Sensors.

The automated detection of stress is a central problem for ambient assisted living solutions. The paper presents the concepts and results of two studies targeted at stress detection with a low cost heart rate sensor, a chest belt. In the device validation study ( n = 5), we compared heart rate data and other features from the belt to those measured by a gold standard device to assess the reliability of the sensor.

The impact of geographical distances to coronary angiography laboratories on the patient evaluation pathways in patients with suspected coronary artery disease. Results from a population-based study in Hungary.

Introduction: Coronary artery disease (CAD) has been a leading cause of death in the western world for the last few decades, despite significant improvements in treatment and management. Diagnostic algorithms for the evaluation of patients with suspected CAD are based on available guidelines.

Aim: To evaluate the impact of geographical distances to coronary angiography laboratories on the patient evaluation pathways in patients with suspected CAD, from a population-based study in Hungary.

The effect of the waiting times on the patient pathways for patients with suspected coronary artery disease.

The paper describes the investigation of the Hungarian public administrative health databases with the aim to identify hidden correspondences in the patients' evaluation pathways for patients with suspected coronary artery disease (CAD). In our current work we investigated the effect of the waiting times of invasive and non-invasive investigations in the evaluation pathways of patients with suspected CAD. We found a considerable correlation between waiting times and the further course of the patients.

Combined model for diabetes lifestyle support.

Treatment of diabetes mellitus is a public health related problem of modern healthcare. Surveys show that current methods to estimate the required amount of insulin are quite inefficient in practice as they are based on experience. This paper offers a new approach to predict the glucose level of people with diabetes.

Preclinical tests of an android based dietary logging application.

Unlabelled: The paper describes the first, preclinical evaluation of a dietary logging application developed at the University of Pannonia, Hungary. The mobile user interface is briefly introduced. The three evaluation phases examined the completeness and contents of the dietary database and the time expenditure of the mobile based diet logging procedure.

Applications of medical intelligence in remote monitoring.

Prevention and rehabilitation efficiency can greatly benefit from the application of intelligent, 24 hour tele-diagnostics and tele-care information systems. Tele-monitoring also supports a new level of medical supervision over the patient's lifestyle. In this paper we briefly present the architecture and development phase results of the Alpha remote monitoring system.

An ontological modeling approach to cerebrovascular disease studies: the NEUROWEB case.

The NEUROWEB project supports cerebrovascular researchers' association studies, intended as the search for statistical correlations between a feature (e.g., a genotype) and a phenotype.

Making two-level standards work in legacy communication frameworks.

The research presented deals with the problem of how information technology can support the interconnection of medical information systems in practice. We apply a two-part structural standard that consists of a fixed Information Reference (IR) Model, and an Archetype Reference (AR) Model that uses the structures of the IR model. A very important problem with the real-world application of such a two-level model is that the high level (abstract) entities, structures and their connections must be somehow translated into lower level equivalents that legacy database information systems can actually use to program their standardised interface.

Medical information systems for cardiac risk assessment and remote monitoring.

Remote monitoring and interactive remote counselling provide a cost-effective and comfortable means of medical care. The paper presents the first experiences of two such systems, both in the field of cardiovascular diseases. The prototype medical instruments, the database design and the user interfaces are elaborated.

Methodological studies related to cardiovascular risk assessment.

Based on Framingham risk estimating equations by computer simulation graphical tools were gained allowing reasonable decision threshold adjustments in cardiovascular screening procedures. Results quantitatively characterize the percentage of the population selected for detailed evaluation vs. the decision threshold in a hypothetical screening procedure.