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1.
Cureus ; 12(6): e8444, 2020 Jun 04.
Artigo em Inglês | MEDLINE | ID: mdl-32642358

RESUMO

Psychiatric patients can have undiagnosed illness due to difficulties accessing the health care system and the lack of guidelines regarding screening recommendations for them. The following case describes a 36-year-old male who presented with a hyperglycemic emergency in the setting of undiagnosed diabetes mellitus.

2.
F1000Res ; 9: 618, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-34745568

RESUMO

Background: Previous studies of migraine classification have focused on the analysis of brain waves, leading to the development of complex tests that are not accessible to the majority of the population. In the early stages of this pathology, patients tend to go to the emergency services or outpatient department, where timely identification largely depends on the expertise of the physician and continuous monitoring of the patient. However, owing to the lack of time to make a proper diagnosis or the inexperience of the physician, migraines are often misdiagnosed either because they are wrongly classified or because the disease severity is underestimated or disparaged. Both cases can lead to inappropriate, unnecessary, or imprecise therapies, which can result in damage to patients' health. Methods: This study focuses on designing and testing an early classification system capable of distinguishing between seven types of migraines based on the patient's symptoms. The methodology proposed comprises four steps: data collection based on symptoms and diagnosis by the treating physician, selection of the most relevant variables, use of artificial neural network models for automatic classification, and selection of the best model based on the accuracy and precision of the diagnosis. Results: The artificial neural network models used provide an excellent classification performance, with accuracy and precision levels >97% and which exceed the classifications made using other model, such as logistic regression, support vector machines, nearest neighbor, and decision trees. Conclusions: The implementation of migraine classification through artificial neural networks is a powerful tool that reduces the time to obtain accurate, reliable, and timely clinical diagnoses.


Assuntos
Algoritmos , Transtornos de Enxaqueca , Humanos , Modelos Logísticos , Transtornos de Enxaqueca/diagnóstico , Redes Neurais de Computação , Máquina de Vetores de Suporte
3.
Stud Health Technol Inform ; 228: 100-4, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27577350

RESUMO

PROBLEM: According to the International Diabetes Federation (IDF), a quarter of the world's population has Metabolic Syndrome (MS). OBJECTIVE: To develop (and assess the users' degree of satisfaction of) an online social network for patients who suffer from Metabolic Syndrome, based on the recommendations and requirements of the Human-Centered Design. RESULTS: Following the recommendations of the ISO 9241-210 for Human-Centered Design (HCD), an online social network was designed to promote physical activity and healthy nutrition. In order to guarantee the active participation of the users during the development of the social network, a survey, an in-depth interview, a focal group, and usability tests were carried out with people suffering from MS. CONCLUSIONS: The study demonstrated how the different activities, recommendations, and requirements of the ISO 9241-210 are integrated into a traditional software development process. Early usability tests demonstrated that the user's acceptance and the effectiveness and efficiency of the social network are satisfactory.


Assuntos
Gerenciamento Clínico , Internet , Síndrome Metabólica/terapia , Rede Social , Interface Usuário-Computador , HDL-Colesterol/sangue , Dieta , Exercício Físico , Humanos , Satisfação do Paciente , Grupos de Autoajuda , Design de Software
4.
Rev Salud Publica (Bogota) ; 14 Suppl 1: 32-42, 2012 Jun.
Artigo em Espanhol | MEDLINE | ID: mdl-23258745

RESUMO

OBJECTIVE: To determine work and health conditions of women working in informal economy in Bogotá, as well as to recommend priority action plans for preventing illnesses and accidents related to work and their consequences. METHODOLOGY: Descriptive observational study. This study analyzed information collected by local groups in work-related contexts during 2007 as part of a set of forms of intervention established according to the Plan de Atención Básica (Primary Care Plan). This plan included 3 715 units of informal work from every point of the city. 3 936 women registers in all were analyzed. RESULTS: This study reveals evident precariousness conditions of women in this economic sector. Specifically, there are certain evident conditions that had shown in this study such as low education levels, incomes below the minimum legal standards, high exposure to damaging health work conditions, long work hours, and few hours for leisure and free time. Furthermore, 75 % of women included in this study are female head of household. This condition makes them more vulnerable to a heavier family and social burden. CONCLUSIONS: Closer attention to informal economy phenomenon is suggested in order to avoid vulnerable conditions of working women. Besides, it is necessary to improve the articulation between Academy and forms of intervention through public policies for knowing deeply repeated phenomena regarding the population of study. This articulation can be thought for implementing programs designed for improving women's quality of life.


Assuntos
Emprego , Mulheres Trabalhadoras , Trabalho , Adulto , Colômbia , Coleta de Dados , Escolaridade , Emprego/economia , Feminino , Nível de Saúde , Humanos , Renda , Doenças Profissionais/epidemiologia , Doenças Profissionais/prevenção & controle , Exposição Ocupacional , Ocupações/estatística & dados numéricos , Qualidade de Vida , Fatores de Risco , Desemprego/psicologia , Desemprego/estatística & dados numéricos , Mulheres Trabalhadoras/estatística & dados numéricos , Trabalho/psicologia , Trabalho/estatística & dados numéricos , Carga de Trabalho/psicologia , Carga de Trabalho/estatística & dados numéricos
5.
Rev. salud pública ; 14(supl.1): 32-42, jun. 2012. ilus
Artigo em Espanhol | LILACS | ID: lil-659928

RESUMO

Objetivo Determinar las condiciones de trabajo y salud de las mujeres que laboran en la informalidad en Bogotá y recomendar líneas de acción prioritarias para prevenir las enfermedades y accidentes relacionados con el trabajo y sus secuelas. Metodología Estudio de tipo observacional descriptivo, utilizó como base la información recolectada por los equipos locales del ámbito laboral durante el 2007 en las intervenciones que en el marco del Plan de Atención Básica. En total se incluyeron en el estudio 3 936 mujeres trabajadoras en la economía informal. Resultados El estudio reveló condiciones de precariedad de las mujeres en este sector de la economía. Se reflejan de manera precisa bajo nivel educativo, ingresos por debajo del salario mínimo legal, exposición a condiciones de trabajo deteriorantes para la salud, con largas jornadas laborales que generaron una baja disponibilidad de tiempo para el goce de actividades de ocio y tiempo libre. Adicionalmente, el 75 % de las mujeres incluidas en el estudio son cabeza de familia, lo cual las predispone a una mayor carga familiar y social.Conclusiones Se sugiere una mayor atención al fenómeno de la informalidad para evitar la condición de desprotección de las trabajadoras. Como una estrategia puntual se propone una mayor articulación entre la academia y las instituciones responsables del desarrollo de políticas públicas que permitan conocer a fondo fenómenos recurrentes en la población estudiada y así implementar programas que promuevan mejores condiciones de calidad de vida.


Objective: To determine work and health conditions of women working in informal economy in Bogotá, as well as to recommend priority action plans for preventing illnesses and accidents related to work and their consequences. Methodology: Descriptive observational study. This study analyzed information collected by local groups in work-related contexts during 2007 as part of a set of forms of intervention established according to the Plan de AtenciónBásica (Primary Care Plan). This plan included 3 715 units of informal work from every point of the city. 3 936 women registers in all were analyzed. Results: This study reveals evident precariousness conditions of women in this economic sector. Specifically, there are certain evident conditions that had shown in this study such as low education levels, incomes below the minimum legal standards, high exposure to damaging health work conditions, long work hours, and few hours for leisure and free time. Furthermore, 75 % of women included in this study are female head of household. This condition makes them more vulnerable to a heavier family and social burden. Conclusions: Closer attention to informal economy phenomenon is suggested in order to avoid vulnerable conditions of working women. Besides, it is necessary to improve the articulation between Academy and forms of intervention through public policies for knowing deeply repeated phenomena regarding the population of study. This articulation can be thought for implementing programs designed for improving women's quality of life.


Assuntos
Adulto , Feminino , Humanos , Emprego , Mulheres Trabalhadoras , Trabalho , Colômbia , Coleta de Dados , Escolaridade , Emprego/economia , Nível de Saúde , Renda , Doenças Profissionais/epidemiologia , Doenças Profissionais/prevenção & controle , Exposição Ocupacional , Ocupações/estatística & dados numéricos , Qualidade de Vida , Fatores de Risco , Desemprego/psicologia , Desemprego/estatística & dados numéricos , Mulheres Trabalhadoras/estatística & dados numéricos , Trabalho/psicologia , Trabalho/estatística & dados numéricos , Carga de Trabalho/psicologia , Carga de Trabalho/estatística & dados numéricos
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