Browsing by Author "Vaz, Filipe J.A."
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- Mental illness risk prediction in high school students using artificial neural networkPublication . Encarnação, Samuel; Vaz, Paula Marisa Fortunato; Vaz, Filipe J.A.; Fortunato, Álvaro; Monteiro, António M.The sustainable development goals of the United Nations 2030 agenda, goal number 3 – Good health and well-being- align with student mental health. Objective: To conduct an artificial neural network (ANN) to predict the students' self-reported mental health dimensions. Methods: A cross-sectional and observational study enrolling sociodemographic and health state data from 2050 university students aged (18–30 years). Results: The best algorithm's result was by predicting the students' depressive state with 97 % accuracy (weighted average = [precision = 0.79 %, recall = 0.79 %, F-1 score 0 0.79 %, cross-validation (73 %)]), while dimensions such overall mental health self-perception (validation accuracy = 60 %) and lack of interest in performing their activities of daily living [(ADLs), validation accuracy = 67 %], presented inferior predictions. Conclusions: The ANN best predicted the university students' depressive state (73 %).
- Relationship between professional motivations and the expectation of staying at the same workplace: a cross-sectional descriptive study with physicians in PortugalPublication . Veiga-Branco, Augusta; Ribeiro, Maria Isabel; Andrade, António J.; Cadinha, Luís C.D.; Pires, Romeu B.; Façanha, Ana L.C.; Pires, Ana C.; Jorge, Clara M.E.; Pedrosa, Diana F.; Vaz, Filipe J.A.There is a global trend related to the migration of health professionals, particularly physicians, to the most densely populated areas. In Portugal, the unequal distribution of medical professionals is justified by the fact that in the most favoured areas, there are more career opportunities, better infrastructures and equipment, better working conditions and supervision, more and better social facilities and better salary. The aim of this work was to identify professional reasons associated with the expectation of staying at the same workplace. It was selected a simple random sample of 594 physicians out of a total of 18,711 registered physicians in Northern Regional Section of the Order of Physicians (NRSOP), Portugal Most physicians would like to stay at the same workplace due to: the prospect of training and working at the current location, the organizational level of the unit, the level of differentiation of the hospital/health centre, the availability to use the state-of-the-art medical and surgical technology, better rewards, the level of work differentiation in the unit/service, the possibility of reconciling public and private practice, good references of the current unit/working group, avoid unit/workgroup with bad references and the prospect of career progression. This study revealed that, for physicians, professional motivations/purposes have an influence on the expectations of staying or not at the same workplace. Therefore, the study recommends that policy makers should prioritize professional reasons when formulating and implementing measures to promote the fixing of medical professionals in order to achieve greater equity in access to health care.
- The power of self-love: an artificial neural network based on neuroscience inference to predict university students self-reported mental health dimensionsPublication . Fortunato, Álvaro; Encarnação, Samuel; Vaz, Paula Marisa Fortunato; Vaz, Filipe J.A.; Monteiro, A.M.In line with the sustainable development goals of the United Nations 2030 agenda, namely goal number 3 – Good health and well-being -, student mental health is a global goal, first because it is health we are talking about and secondly because it has implications in the quality of learning and, consequently, in the adequate preparation of professionals for society. This study aimed to conduct an artificial neural network (ANN) to predict the student’s self-reported mental health dimensions. This is a cross-sectional and observational study enrolling data collected by applying a questionnaire comprising sociodemographic and health state variables from 2050 university students aged (18-30 years). The algorithm predicted the student’s overall mental health state self-perception with 94% accuracy (weighted average= [precision= 0.67%, recall= 0.67%, F-1 score0 0.67%]) and was cross-validated with reasonable accuracy (60%). The student’s depressive state was predicted with 97% accuracy (weighted average= [precision= 0.79%, recall=0.79%, F-1 score0 0.79%], and was cross-validated with good accuracy (73%). The student’s lack of interest in performing their activities of daily living (ADLs) was predicted with 94% accuracy (weighted average= [precision= 0.69%, recall=0.77%, F-1 score0 0.76%], and was cross-validated with reasonable accuracy (67%). The ANN presented excellent learning performance (>90%) for all targeted variables, within reasonable to good generalization capacity (60-73%). Finally, the university student’s depressive state was the best-predicted variable (73%).
- The power of self-love: an artificial neural network based on neuroscience inference to predict university students self-reported mental health dimensionsPublication . Fortunato, Álvaro; Encarnação, Samuel; Vaz, Paula Marisa Fortunato; Vaz, Filipe J.A.; Monteiro, A.M.Student mental health is a global goal, first because it is health we are talking about and secondly because it has implications in the quality of learning and, consequently, in the adequate preparation of professionals for society. The ANN presented excellent learning performance (> 90%) for all targeted variables, within reasonable to good generalization capacity (60-73%). Finally, the university student’s depressive state was the best-predicted variable (73%).
- Understanding health care access in higher education studentsPublication . Vaz, Filipe J.A.; Vaz, Clara B.; Cadinha, Luís C.D.This study aims to evaluate the accessibility to healthcare by the higher education students and its determinants. A cross-sectional study was conducted in April 2018 by applying a questionnaire to 2051 students of the Polytechnic Institute of Bragança. Logistic regression models were used to identify the determinants that affect or hinder access to health care services in the city of Bragança. Among the main outcomes, the female students enrolled 4 to 12 months ago and the students who have chronic illness for those enrolled 13 to 24 months ago were associated with a greater need for access to health care. The nationality was associated with greater need and difficulty in accessing to health care. The inequities found with regard to foreign students should be debated in order to find solutions.
- Understanding health care access in higher education studentsPublication . Vaz, Filipe J.A.; Vaz, Clara B.; Cadinha, Luís C.D.This study aims to evaluate the accessibility to healthcare by the higher education students and its determinants. A cross-sectional study was conducted in April 2018 by applying a questionnaire to 2051 students of the Polytechnic Institute of Bragança. Logistic regression models were used to identify the determinants that affect or hinder access to health care services in the city of Bragança. Among the main outcomes, the female students enrolled 4 to 12months ago and the students who have chronic illness for those enrolled 13 to 24 months ago were associated with a greater need for access to health care. The nationality was associated with greater need and difficulty in accessing to health care. The inequities found with regard to foreign students should be debated in order to find solutions.