Assessing citizen science data quality for bird monitoring in the Iberian Peninsula.

Citizen science data on biodiversity has experienced significant growth, largely driven by advancements in technology that facilitate data sharing. In recent years, mobile applications have provided a substantial boost to both the collection and sharing of this data. While this accessible information is undoubtedly valuable, we must consider the numerous biases present in this data when used for high-quality research.

Age-Stratified Analysis of COVID-19 Outcome Using Machine Learning Predictive Models.

Since the emergence of COVID-19, most health systems around the world have experienced a series of spikes in the number of infected patients, leading to collapse of the health systems in many countries. The use of clinical laboratory tests can serve as a discriminatory method for disease severity, defining the profile of patients with a higher risk of mortality. In this paper, we study the results of applying predictive models to data regarding COVID-19 outcome, using three datasets after age stratification of patients.

Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.

Background: The COVID-19 pandemic is probably the greatest health catastrophe of the modern era. Spain's health care system has been exposed to uncontrollable numbers of patients over a short period, causing the system to collapse. Given that diagnosis is not immediate, and there is no effective treatment for COVID-19, other tools have had to be developed to identify patients at the risk of severe disease complications and thus optimize material and human resources in health care.

Impact of peripheral artery disease on the quality of life of patients with diabetes mellitus.

Background: Diabetes Mellitus (DM) has become one of the main problems of health, which might lead to a series of complications, such as peripheral vasculopathy.

Purpose: The objectives of this study were to determine whether peripheral artery disease affects the quality of life and pain level and functionality of the foot in patients with DM.

Methods: The sample consisted of 150 participants: with peripheral vasculopathy and DM, with DM, without peripheral vasculopathy, with neither DM nor peripheral vasculopathy.