Navegando por Autor "Magalhães, Daniel Souza Ferreira"

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Análise frequentista e bayesiana dos casos oncológicos na cidade de Cáceres-MT
(Universidade Brasil, 2023) Chaves Jr., Marcos Araújo; Fávero, Priscila Pereira; Magalhães, Daniel Souza Ferreira
The objective of this study is to present the prevalence of cancer in the city of Cáceres - MT and region according to age, gender, topography in the period between 2016 and 2019, its relationship with the estimated national incidence, and characterization of the interdependencies of the variables studied through a network bayesian. We carried out an observational, cross-sectional study with a survey of 2.042 positive anatomopathological reports for cancer, collected from the database of the Pathology Laboratory linked to the oncological center of Cáceres. Thirty-three primary sites were identified. Non-melanoma skin cancer was the most prevalent with more than 60% of cases, but with the exception of this one, the most frequent was breast cancer, followed by uterine cervix cancer and prostate cancer. Breast cancer was the most prevalent in women, and prostate cancer in men. The age group in which cancer diagnoses were concentrated was between 60 and 79 years. Study highlights: cervical cancer, with numbers higher than expected; prostate and lung cancer with percentages lower than expected, all compared to cancer estimates for Brazil and Mato Grosso for 2023 (INCA). Finally, we structured a Bayesian network, which can act as an agile and assertive management tool, helping to make strategic decisions. This study allowed demonstrating the profile of patients diagnosed with cancer, in relation to gender, topography and age, in the city of Cáceres and region. Important information in the elaboration of public policies to modify the identified profile, and serve as a basis for new research in the region.
Análise frequentista e bayesiana dos casos oncológicos na cidade de Cáceres
(Universidade Brasil, 2023) Chaves Júnior, Marcos Araújo; Fávero, Priscila Pereira; Magalhães, Daniel Souza Ferreira
The objective of this study is to present the prevalence of cancer in the city of Cáceres- MT and region according to age, gender, topography in the period between 2016 and 2019, its relationship with the estimated national incidence, and characterization of the interdependencies of the variables studied through a network bayesian. We carried out an observational, cross-sectional study with a survey of 2.042 positive anatomopathological reports for cancer, collected from the database of the Pathology Laboratory linked to the oncological center of Cáceres. Thirty-three primary sites were identified. Non-melanoma skin cancer was the most prevalent with more than 60% of cases, but with the exception of this one, the most frequent was breast cancer, followed by uterine cervix cancer and prostate cancer. Breast cancer was the most prevalent in women, and prostate cancer in men. The age group in which cancer diagnoses were concentrated was between 60 and 79 years. Study highlights: cervical cancer, with numbers higher than expected; prostate and lung cancer with percentages lower than expected, all compared to cancer estimates for Brazil and Mato Grosso for 2023 (INCA). Finally, we structured a Bayesian network, which can act as an agile and assertive management tool, helping to make strategic decisions. This study allowed demonstrating the profile of patients diagnosed with cancer, in relation to gender, topography and age, in the city of Cáceres and region. Important information in the elaboration of public policies to modify the identified profile, and serve as a basis for new research in the region.
Aplicativo para dispositivo móvel para avaliação da qualidade de vida de idosos
(Universidade Brasil) Grechi, Maria Sônia; Magalhães, Daniel Souza Ferreira; Navarro, Ricardo Scarparo; Baptista, Alessandra
Avaliação comparativa entre as técnicas All-on-four e Four-on pillars em planejamentos virtuais 3D associadas a cirurgias guiadas em maxilas atróficas
(Universidade Brasil, 2021) Maia, Marcelo do Lago Pimentel; Magalhães, Daniel Souza Ferreira
Thorough technical knowledge and anatomical understanding are critical for optimal surgical results. The difficulty of complete maxillary surgery can vary significantly depending on the complexity of the anatomy or bone defect. Guided surgery is currently a relevant option for bringing to the patient fewer surgical complications and is directly related to 3D virtual planning for the success of the case. In this work, we analyze and compare two methods of planning guided in software for the manipulation of dental implants, associated with the All-on-four (A.F.) and Four-on-pillars (F.P.) techniques used in patients with atrophic maxillae. Forty-two images of totally edentulous patients were analyzed, 30 of which were planned using ImplantViewer software for volume assessment and ImageJ software for area assessment. The volumes were acquired in a CRANEX 3D volumetric tomograph model from the Soredex brand. In each planning, the height and width of the bone remnant was used as guidance and the implants were installed virtually. The average area of the Four on-pillars technique was 4.9x (p<0.0001) greater than the average area with the All on-four technique, this represents a difference of 489%, which in the same force applied by the jaw we have a 4.9x lower pressure, that is, a better distribution of forces on the jaws. It was not possible to notice a statistical difference between the success proportions (p=0.2542), showing that the techniques have a non-different (similar) success proportion. We conclude that the area formed in the Four-on-pillars surgical planning is larger than in the All-on-four planning and also that there is no technique with successful advantages over another, therefore the Four-on-pillars technique becomes an excellent option as a treatment for atrophic jaws.
Avaliação comparativa entre as técnicas All-on-four e Four-onpillars em planejamentos virtuais 3D associadas a cirurgias guiadas em maxilas atróficas
(Universidade Brasil, 2021) Maia, Marcelo do Lago Pimentel; Magalhães, Daniel Souza Ferreira
Thorough technical knowledge and anatomical understanding are critical for optimal surgical results. The difficulty of complete maxillary surgery can vary significantly depending on the complexity of the anatomy or bone defect. Guided surgery is currently a relevant option for bringing to the patient fewer surgical complications and is directly related to 3D virtual planning for the success of the case. In this work, we analyze and compare two methods of planning guided in software for the manipulation of dental implants, associated with the All-on-four (A.F.) and Four-on-pillars (F.P.) techniques used in patients with atrophic maxillae. Forty-two images of totally edentulous patients were analyzed, 30 of which were planned using ImplantViewer software for volume assessment and ImageJ software for area assessment. The volumes were acquired in a CRANEX 3D volumetric tomograph model from the Soredex brand. In each planning, the height and width of the bone remnant was used as guidance and the implants were installed virtually. The average area of the Fouron-pillars technique was 4.9x (p<0.0001) greater than the average area with the Allon-four technique, this represents a difference of 489%, which in the same force applied by the jaw we have a 4.9x lower pressure, that is, a better distribution of forces on the jaws. It was not possible to notice a statistical difference between the success proportions (p=0.2542), showing that the techniques have a non-different (similar) success proportion. We conclude that the area formed in the Four-on-pillars surgical planning is larger than in the All-on-four planning and also that there is no technique with successful advantages over another, therefore the Four-on-pillars technique becomes an excellent option as a treatment for atrophic jaws.
Avaliação da integridade estrutural por modelos computacionais de ossos humanos através de imagens de Microtomografia Periférica de Alta Resolução – HRpQCT
(Universidade Brasil, 2024) Cerqueira, Jones Salustiano de; Silva, Alessandro Márcio Hakme da; Magalhães, Daniel Souza Ferreira
Changes in bone mineral density (BMD) directly compromise bone quality, increasing the risk of fragility and fractures. This study investigated the effects of changes in BMD on bone microarchitecture and mechanical integrity, using volumetric parameters obtained by microtomography. The objective was to evaluate the structural and functional differences between bone samples with normal and altered BMD. The methods involved obtaining high-resolution three-dimensional images to quantify mineral density, porosity, cortical and trabecular thickness, in addition to mechanical stiffness. It was possible to quantify BMD differences in trabecular and cortical density, increased porosity and significant decrease in structural rigidity in samples with altered BMD. It is concluded that microtomography is an effective tool for identifying structural changes associated with BMD loss, with relevant implications for diagnoses and clinical interventions.
Avaliação dos efeitos da fotobiomodulação sistêmica sobre os níveis de cortisol salivar
(Universidade Brasil) Trindade, Monaiza Moura; Navarro, Ricardo Scarparo; Magalhães, Daniel Souza Ferreira; Nunez, Silvia Cristina; Baptista, Alessandra
Desenvolvimento e avaliação de aplicativo de dispositivo móvel para auxílio no dimensionamento do quadro de profissionais de enfermagem
(Universidade Brasil, 2021) Monezi, Marcus Vinícius Belão; Magalhães, Daniel Souza Ferreira
The Fugulin and Braden scales are instruments used in nursing to classify the clinical status of patients in different sectors of a hospital. These instruments allow the elaboration of a System of Classification of Patients (SCP) and to know exactly the scenario of the work environment, to quantify the professionals needed for the assistance. These classification systems subsidize the dimensioning of nursing professionals, who must follow normative criteria of the Federal Nursing Council (COFEN). The objective of the present study is to develop and test an application and its management platform (WEB platform) for the application of these combined scales on a mobile device. This application classifies the patient into different levels of nursing dependency and presents the grouped data of the total number of patients in each sector. The application was designed to be used in a simple way, and was built from the Kotlin programming language, the tool proved to be efficient in the tests performed. Which allows to affirm that this technological resource is efficient for the use that was developed, to replace the old model in printed paper with the use of this program in a mobile device. The work contributed to fill a knowledge gap in the application platforms and in the research in the area. And it is an advance because it allows the assessment and classification of the patient to be made using two scales simultaneously.
Desenvolvimento e avaliação de software para acompanhamento de gestantes com sífilis
(Universidade Brasil, 2020) Markus, Glaucya Wanderley Santos; Baptista, Alessandra; Magalhães, Daniel Souza Ferreira
Gestational syphilis is a worldwide problem and can be controlled through effective public health actions and measures. The objective of this study was to develop and evaluate a mobile application (app) in order to facilitate the monitoring of pregnant women with syphilis during the prenatal period until the postpartum period. This is a technological production aimed at building a mobile application. The Gestisífilis app allows you to obtain treatment data for the pregnant woman, including data regarding the tests performed, clinical stage of the disease, therapeutic scheme, VDRL examination tracking during the 9 gestational months, through the generation of reports that can be accessed and sent via email. The data entered is password protected by the system administrator, safeguarding patients' privacy. The app was installed on 23 smartphones with the Android system, from different nurses, to assess the compatibility of the system, and to evaluate the functionality of the app. The user's profile and degree of satisfaction were assessed using a QUIS questionnaire (Questionnaire for User Interaction Satisfaction), which was applied by the Google Form platform. The downloads on different smartphones showed that the synchronization and sending of the app's data works correctly. The results of the questionnaire showed that the majority of the evaluators were women (82.6%), under the age of 30 years (47.8%), with a specialist title (87%) professional experience between 1-2 years ( 52%). Regarding the usability of the app, the results showed that there was no statistically significant difference between professionals with up to 2 years and more than 2 years of experience (p 0.05), with average and median scores very close to the maximum value (10) . We concluded that the Gestisífilis app showed efficiency in the reception and transmission of information and approval of usability by the evaluators and can be a great tool in the monitoring of pregnant women with syphilis.
Ferramentas 3D como auxílio no processo de ensino-aprendizagem na disciplina de anatomia
(Universidade Brasil, 2021) Armesto, Leonardo Moraes; Magalhães, Daniel Souza Ferreira
The study of the discipline of anatomy requires from the student a high capacity for attention and concentration in order to achieve learning in its entirety, becoming a laborious and strenuous process due to its intricate richness of details. This factor is associated with the high use of an anatomical organic demand that degrades with significant speed and requires constant replacement or use of toxic chemicals for longer use. The objective of this work is to investigate the benefits in terms of learning anatomy with the aid of 3D tools. Images of organs for 3D screen were developed, as well as the impression of organs in polymeric resin for use in the classroom. Forty students aged between 18 and 60 years old of both sexes were evaluated, all belonging to the same institution of technical education in nursing. The study was based on 2 groups of students: the first class (n = 20) received the content and application of the anatomy discipline through books, illustrations, blackboard and slide projection. The second class (n = 20) received the same information content as the first, taught by the same teacher, using traditional resources, with the addition of 3D projection screens and pieces printed on a 3D printer. The analysis took place in both classes through a content review class, carried out between the application of a first questionnaire (entry questionnaire), and a second verification questionnaire after the review class (exit questionnaire). The questionnaire covered the following domains: proportion, spatial location, volumetry, morphology, similarity and motivation. The results confirmed the effectiveness of the proposed model using 3D when observing the domains of spatial location/physical anatomy, volumetry/planaltimetry and motivation when compared to the class that used 3D resources with the control group, of traditional methodology. It was also possible to validate the use of 3D impressions, as well as the use of multi-auto-stereoscopic (3D) images, their inherent depth perception, in addition to justifying the gradual entry of practical, perennial and detailed technologies, as they allow the reduction of perishable organs and corpses, as well as the dangerous contact with toxic chemicals in educational environments.
Ferramentas 3D como auxílio no processo de ensino-aprendizagem na disciplina de anatomia
(Universidade Brasil, 2021) Armesto, Leonardo Moraes; Magalhães, Daniel Souza Ferreira
The study of the discipline of anatomy requires from the student a high capacity for attention and concentration in order to achieve learning in its entirety, becoming a laborious and strenuous process due to its intricate richness of details. This factor is associated with the high use of an anatomical organic demand that degrades with significant speed and requires constant replacement or use of toxic chemicals for longer use. The objective of this work is to investigate the benefits in terms of learning anatomy with the aid of 3D tools. Images of organs for 3D screen were developed, as well as the impression of organs in polymeric resin for use in the classroom. Forty students aged between 18 and 60 years old of both sexes were evaluated, all belonging to the same institution of technical education in nursing. The study was based on 2 groups of students: the first class (n = 20) received the content and application of the anatomy discipline through books, illustrations, blackboard and slide projection. The second class (n = 20) received the same information content as the first, taught by the same teacher, using traditional resources, with the addition of 3D projection screens and pieces printed on a 3D printer. The analysis took place in both classes through a content review class, carried out between the application of a first questionnaire (entry questionnaire), and a second verification questionnaire after the review class (exit questionnaire). The questionnaire covered the following domains: proportion, spatial location, volumetry, morphology, similarity and motivation. The results confirmed the effectiveness of the proposed model using 3D when observing the domains of spatial location/physical anatomy, volumetry/planaltimetry and motivation when compared to the class that used 3D resources with the control group, of traditional methodology. It was also possible to validate the use of 3D impressions, as well as the use of multi-auto-stereoscopic (3D) images, their inherent depth perception, in addition to justifying the gradual entry of practical, perennial and detailed technologies, as they allow the reduction of perishable organs and corpses, as well as the dangerous contact with toxic chemicals in educational environments.
Inteligência artificial para avaliação dos fatores que influenciam o óbito em pacientes com insuficiência renal
(Universidade Brasil, 2023) Bonfadini, Lucas Augusto; Magalhães, Daniel Souza Ferreira
Chronic renal failure represents an impact at the individual and collective level that translates into the suffering that the disease brings to patients and the gradual increase in expenses both with dialysis methods and with the diseases associated with this public. Some technologies can be extremely useful in decision-making in healthcare. One of these technologies is the Bayesian network, which has, as an example, the ability to help, even during screening, in the best choice of vascular access for patients with severe renal failure, among other situations. The objective of this study was to analyze the possible causal relationships, using probabilistic inferences, between the related factors to stipulate the main causes of death in patients with severe renal failure. The methodology was based on the analysis of medical records of 121 patients using artificial intelligence, Bayesian networks, in order to establish a conditional probability relationship between the variables of patients with severe renal failure. Through the study, it was possible to identify that the choice of venous access type arteriovenous fistula (AVF), whenever possible, should be prioritized, as it proves to be a fundamental strategy for maintaining the number of deaths in hemodialysis centers, as well as maintaining extra care when to smoking among patients, as it was a major risk factor, both individually and in addition to other variables, in the group of patients in question. The analysis, using Bayesian networks, is of great value for the group belonging to the study, given the opportunity to identify the evolution of renal failure and consequently promote a reduction in the number of deaths. And it is also of great benefit to health professionals, mainly assisting in Clinical Decision Support (CDS).
Inteligência artificial para predição de desfecho e recursos necessários ao paciente submetido a cirurgia
(Universidade Brasil, 2023) Lopes, Victor Milani; Magalhães, Daniel Souza Ferreira
The assistance for patients in need of surgery involves multiple variables and is susceptible to various outcomes. Principles of Artificial Intelligence, represented here by Bayesian Networks, are tools that allow determining cause-and-effect relationships in scenarios of uncertainty with multiple variables. The study proposed here aimed to construct and test a Bayesian Network with variables related to patient care in surgery. Information regarding surgical production was used, totaling 895 procedures. The data from these procedures enabled the learning of the constructed Bayesian Network. The construction of the Bayesian Network was performed, allowing the determination of predicted outcome probabilities. The use of Bayesian Networks showed potential for aiding in medical decision-making and, due to its ability to predict the resources needed for the patient, it can assist in the managerial and administrative decisions of the surgical department.
Normas para elaboração de trabalhos de conclusão de curso de graduação: pesquisa experimental
(Universidade Brasil, 2022) Américo-Pinheiro, Juliana Heloisa Pinê; Magalhães, Daniel Souza Ferreira; Frias, Danila Fernanda Rodrigues; Kozusny-Andreani, Dora Inés; Brennecke, Käthery; Almeida, Vilson Rosa de; Zonta, Marco Antonio
Normas para elaboração de trabalhos de conclusão de curso de graduação: relato de caso
(Universidade Brasil, 2022) Américo-Pinheiro, Juliana Heloisa Pinê; Magalhães, Daniel Souza Ferreira; Frias, Danila Fernanda Rodrigues; Kozusny-Andreani, Dora Inés; Almeida, Vilson Rosa de; Zonta, Marco Antonio
Normas para elaboração de trabalhos de conclusão de curso de graduação: revisão de literatura
(Universidade Brasil, 2022) Américo-Pinheiro, Juliana Heloisa Pinê; Magalhães, Daniel Souza Ferreira; Frias, Danila Fernanda Rodrigues; Kozusny-Andreani, Dora Inés; Brennecke, Käthery; Almeida, Vilson Rosa de; Zonta, Marco Antonio
Sistema de compartilhamento de hipótese de diagnóstico
(Universidade Brasil, 2023) Balta, Ramão de Souza; Magalhães, Daniel Souza Ferreira; Cogo, José Carlos
A software with tools to share and discuss diagnostic hypotheses allows multidisciplinary integration between dentistry professionals, serving as a link connecting radiologist to other especialists. This work presents the development of a Diagnosis Hypothesis Sharing System, a tool that allows publishing images of a given case and receiving help from members of the scientific community and thus formulating an accurate diagnosis. The development base is C# programming language, with ASP.NET to bring web application capabilities to the system and Javascript to manipulate user events. One strong point of the software is the possibility of keeping the author of the questions confidential and the free way of sharing with other professionals and thus solving a given problem together finding the best solution, the General Data Protection Law is applied in the software.
Tempo de permanência na Unidade de Terapia Intensiva e o uso de Redes Bayesianas como ferramenta de gestão
(Universidade Brasil, 2020) Santos, Patrícia Couto Macedo dos; Baptista, Alessandra; Magalhães, Daniel Souza Ferreira
The lack of beds in intensive care units (ICU) is a public health problem. The length of stay in these units contributes to reducing bed turnover, which slows down the admission of other critical patients who end up receiving inadequate care, increasing hospital mortality rates. The general objective of this work is to statistically analyze the possible causal relationships using probabilistic inferences between factors related to the length of stay in an intensive care environment through the use of Bayesian Networks for management strategies and support to decision making. A retrospective study was carried out in the general ICU of Hospital Calixto Midlej Filho de Itabuna, with a qualitative and quantitative approach with 49 patients aged between 14 and 92 years. Data collection was performed through the patients' medical records via the hospital's audit department and / or Medical and Statistical File Service (SAME). The variables collected were: gender, age, APACHE II (English: Acute Physiology and Chronic Health Evaluation II), presence of mechanical ventilation, development of infection and length of stay in the unit. The collected data were inserted and tabulated in an Excel® spreadsheet. and used in the manufacture of Bayesian Networks (RB) using GeNIe 2.0 software. The results showed that gender, age, mechanical ventilation and APACHE II classification factors influence the length of stay in the ICU. Therefore, the use of Bayesian methods that, through probabilistic reasoning, have a good performance to work with causes and effects relationships, can be used as a tool to support management for decision making and optimization of the time spent in critical ICU patients.