Notes

Correlation involving one nucleotide polymorphisms in the Three or more federal government untranslated region of PTX3 along with the chance of essential hypertension: Any case-control research.
The number of young people who have had sex at an early age increases in proportion, it concerns unsafe sexual behaviors, teenage pregnancy, HIV aids and sexually transmitted infections (STIs). This study examines the health behaviors and factors predicting sexual risk behaviors pertaining to teenage pregnancy among adolescents in Thailand. Adolescents consulted the reproductive health center about problems with the same gender. The factors of adolescent reproductive behaviors were significantly associated with age, education level, and the perception of peer norms. Receiving social support from media information also significantly correlated with those behaviors. The results recommend that to prevent premature pregnancy, adolescents should protect themselves. Parents should take the issue of social media use by their teenagers very seriously.Older adults are relatively physically active compared to other age group. S3I-201 purchase A lack of physical activity (PA) can cause chronic diseases including osteoarthritis of knee (OA knee) and might eventually reduce quality of life (QOL). This present study was aimed to investigate association between levels of PA and OA knee with levels of QOL in community-dwelling older adults. One thousand and sixty-seven community-dwelling older persons were recruited to this descriptive study. PA activity questionnaire was invented. Standardized Oxford knee score and World Health Organization's Quality of Life scale (WHOQOL-BREF) were used to measure OA knee and QOL levels. Results showed that levels of PA in older adults were significantly associated with levels of OKS (χ2 = 78.565, P-value less then .001) and levels of OA knee in older adults were significantly associated with levels of overall QOL (χ2 = 57.738, P-value less then .001). Pearson's correlation also showed interrelation among PA, OA knee, and QOL. In conclusion, PA, OA knee, and QOL are interrelated. Therefore, close monitoring and design of proper PA activity should be implemented in community-dwelling older adults with OA knee.Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced emergency measures such as self-isolation and restriction of movement and assembly, which are also directly affecting the functioning of their respective public health and judicial systems. The goal of this study is to identify the efficiency of the criminal sanctions in Russia that were introduced in the beginning of COVID-19 outbreak using machine learning methods. We have developed a regression model for the fine handed out, using random forest regression and XGBoost regression, and calculated the features importance parameters. We have developed classification models for the remission of the penalty and for setting a sentence using a gradient boosting classifier.Genomic information is key for the implementation of real personalized medicine. Nevertheless, access to this kind of information must be controlled because of its high privacy and security requirements. Several genomic information formats exist, although we have started from MPEG-G as it includes metadata and protection mechanisms since its inception and provides a hierarchical structure to organize the information contained. The proposed GIPAMS modular architecture provides a secure and controlled access to genomic information, which may help on improving personalized medicine as described in this paper.High stress levels among hospital workers could be harmful to both workers and the institution. Enabling the workers to monitor their stress level has many advantages. Knowing their own stress level can help them to stay aware and feel more in control of their response to situations and know when it is time to relax or take some actions to treat it properly. This monitoring task can be enabled by using wearable devices to measure physiological responses related to stress. In this work, we propose a smartwatch sensors based continuous stress detection method using some individual classifiers and classifier ensembles. The experiment results show that all of the classifiers work quite well to detect stress with an accuracy of more than 70%. The results also show that the ensemble method obtained higher accuracy and F1-measure compared to all of the individual classifiers. The best accuracy was obtained by the ensemble with soft voting strategy (ES) with 87.10% while the hard voting strategy (EH) achieved the best F1-measure with 77.45%.Mobile Health has been increasingly present in healthcare due to the wide availability of applications for smartphones, however, robust assessment methods must be considered, seeking to provide evidence for clinical practice and mHealth solutions. This research presents the assessment of applications aimed at detecting and preventing falls for the elderly, available for Android and IOS, through the Mobile App Rating Scale. Based on the results presented, it can be concluded that the fall detection and prevention applications for the elderly available for Android and IOS showed good quality after rigorous evaluation.Emergency care is very complex in that it requires patient-centered care in a coordinated manner among multiple providers in a highly distractible, unpredictable and stressful environment. Sharing information efficiently between providers in this context is difficult. Connecting emergency providers with each other through a digital communication channel could improve the efficiency of information sharing and emergency care. This study describes the development process of PIMPmyHospital, a mobile app dedicated to emergency department physicians and nurses to collaboratively manage their patients. We relied on a user-centered design process involving caregivers from a pediatric emergency department. The process started with semi-structured interviews that informed the specifications of the app, followed by an iterative design and development approach. The resulting prototype was evaluated by end-users using the perceived usefulness dimension of the technology acceptance model questionnaire. Early user engagement during the design and development of a dedicated mobile app must be taken into account to improve its perceived usefulness and future adoption.Fully automated self-help interventions integrated with social media chatbots could serve as highly cost-effective physical activity promotion tools for a large population. We have developed MYA, a Telegram-based chatbot for increasing physical activity. The objective of this study was to assess the usability of MYA. To identify usability issues, we recruited volunteers and asked them to interact with MYA and to answer the Chatbot Usability Questionnaire. Thirty volunteers participated in the study, 83.3% agreed MYA was welcoming during initial setup and 63.3% agreed MYA was very easy to use. MYA was perceived as realistic and engaging, easy to navigate, and its responses were useful, appropriate, and informative (all 53.3%). However, 63.3% of respondents agreed MYA failed to recognize most of their inputs, and 43.3% claimed it would be easy to get confused when using MYA. Although the results are encouraging, it remains unclear if a social media chatbot can motivate people to increase their physical activity. MYA has the potential to do that, with improvements in functionalities like challenge personalization. The efficacy of these approaches should be studied in a clinical trial.Building a well-founded understanding of the concepts, tasks and limitations of IT in all areas of society is an essential prerequisite for future developments in business and research. This applies in particular to the healthcare sector and medical research, which are affected by the noticeable advances in digitization. In the transfer project "Zukunftslabor Gesundheit" (ZLG), a teaching framework was developed to support the development of further education online courses in order to teach heterogeneous groups of learners independent of location and prior knowledge. The study at hand describes the development and components of the framework.Psychology tests are tools used to evaluate specific aspects of individual psyche and behavior, in clinical practice and for research purposes. They are validated and standardized both in the administration procedures and interpretation of results. Nowadays, most of these tests are questionnaires administered to patients on paper support. The patient's answers to the questionnaires constitute a basis for self-presentation and self-awareness at the beginning of the therapeutic path. The computer is a valuable aid allowing a quickly consultation of all the answers and highlighting the most salient ones. The main aim of this work was to design, develop and test a computerized support tool for the interpretation of psychological tests that allow good interaction between groups of therapists sharing the same operating modes. The developed system allows first the storing of the numerical values corresponding to the answers to the questionnaires of the patients; then it creates a complete 'Picture' of the patient and allows the automatic computation of the correlation between the indexes of the various scales. The graphical correlations between scales can be also a valuable aid in finding the outliers, so patients far away from the trend line.The aim of this paper was to evaluate the effect of telemedical care of gestational diabetes mellitus (GDM) patients with the digital treatment pathway model DiabCare Tirol.
27 courses of patients with GDM, who were telemonitored through the integrated care program DiabCare Tirol in a diabetes outpatient clinic in Tyrol, Austria during the COVID-19 pandemic in 2020, were analyzed. In addition, randomized controlled trials (RCTs) on telemedicine interventions for GDM were researched, and their results were used for comparison with this disease management method. The patient outcome analysis was used to examine the effects of the integrated care program involving telemonitoring support and compared them to the results of RCTs in which participants were randomly assigned to one of two groups, either mobile monitored or standard treatment group.

The feasibility of the digital treatment pathway model was confirmed in practice, as the trend analysis of the 27 GDM patients involved showed significantly improved glycaemic control. Results of RCT studies tend to support the findings of DiabCare Tirol.

Benefits of telemonitoring with integrated care to support conventional therapy cannot be dismissed, especially in times of the pandemic. Continuous outcome research with larger patient numbers will be necessary to confirm the effectiveness of telemonitoring in a regular care setting.
Benefits of telemonitoring with integrated care to support conventional therapy cannot be dismissed, especially in times of the pandemic. Continuous outcome research with larger patient numbers will be necessary to confirm the effectiveness of telemonitoring in a regular care setting.Gait analysis has evolved significantly during last years due to the great development of the Medical Internet of Things (MIoT) platforms that allow an easy integration of sensors (inertial, magnetic and pressure in our case) to the complex analytics required to compute, not only relevant parameters, but also meaningful indexes. In this paper, we extend a previous development based on a fully wireless pair of insoles by implementing an updated version with more reliable and user-friendly devices, smartphone app and web front-end and back-end. We also extend previous work focused on fall analysis (with the corresponding fall risk index or FRI) with the proposal of a new surgery recovery index (SRI) to account for the individual speed recovery speed that can be measured either at clinical facilities or at home in a telemedicine environment or while doing daily life activities. This new index can be personalized for different types of surgeries that affect gait such as hip, knee, etc. This paper presents the case of hip recovery and is built on top of the clinical standard SPPB test and allows obtaining quantitative parameters directly from the sensors.
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