Vinícius Lima

Universidade de São Paulo

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i-10 index

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Co-Authors

Domingos Alves

Universidade de São Paulo

Filipe Andrade Bernardi

Universidade de São Paulo

Rui Rijo

Instituto Politécnico de Leiria

Felipe Carvalho Pellison

Universidade de São Paulo

Afrânio Lineu Kritski

Universidade Federal do Rio de Janeiro

Mariane Barros Neiva

Universidade de São Paulo

Nathalia Yukie Crepaldi

Universidade de São Paulo

Diego Bettiol Yamada

Universidade de São Paulo

Rafael Mello Galliez

Universidade Federal do Rio de Janeiro

Têmis Maria Félix

Hospital de Clínicas de Porto Alegre

Cooperative Institutions

Universidade de São Paulo

Universidade Federal do Rio de Janeiro

Universidade Federal do Rio Grande do Sul

Universidade de Ribeirão Preto

Universidade Federal de São Paulo

Universidade Estadual de Campinas (UNICAMP)

AC Camargo Hospital

Hospital de Clínicas de Porto Alegre

Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo

Fundação Oswaldo Cruz

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Supervised Machine Learning Techniques Applied to Medical Records Toward the Diagnosis of Rare Autoimmune Diseases

Lecture notes in computer science (2023)

Pedro Emilio Andrade Martins Márcio Eloi Colombo Filho Ana Clara de Andrade Mioto Filipe Andrade Bernardi Vinícius Lima

Autoimmune Hepatitis

Medical record

10.1007/978-3-031-36024-4_13

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Citations (2)

The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposal

Procedia Computer Science (2019)

Luiz Ricardo Albano dos Santos Filipe Andrade Bernardi Gabriela Cristina Silva Prado Vinícius Lima Nathalia Yukie Crepaldi

Tuberculosis (TB) is an infectious-contagious disease that affects mainly the lungs, ranking in the 10 main causes of death in the world. Non-adherence or non-treatment of TB may prolong transmissibility, increase the risk of drug resistance and lead to patient death. One step forward is the use of smartphones for monitoring the medication intake via video (VDOT). VDOT is a more acceptable and cost-effective option than the traditional DOT (in person). However, the VDOT system requires a professional (verifying agent) to check all medication intake daily. Based on an initiative that aims to replace the verifying agent with an artificial intelligence tool capable of validating it automatically through computer vision techniques (AI-based VDOT), the main goal of this work is to measure the acceptance and perception of Brazilian health professionals on the AI-Based VDOT before implementing this technology by using a quantitative questionnaire as instrument. To achieve this, we have developed a proposal of study protocol that describes the steps to create, apply and validate this research.

10.1016/j.procs.2019.12.225

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Citations (6)

TBI Score - use of a mobile score system to aid the diagnosis of tuberculosis in children in Brazil

Procedia Computer Science (2022)

Filipe Andrade Bernardi Vinícius Lima Danilo Maglio Sampaio Marcelo Cordeiro‐Santos Rui Rijo

Tuberculosis (TB) is a bacterial infectious disease that mainly affects the lungs and remains as one of the biggest public health problems in the world. The treatment methods currently available can cure almost all cases. Due to the difficulty of bacteriological confirmation of TB in children, the Brazilian Ministry of Health recommended the use of a scoring system for the diagnosis of pulmonary TB in childhood, covering aspects of clinical, radiological and epidemiological data. The general objective of this work is the development and availability of a mobile application based on the score described in the Manual of Recommendations for TB Control in Brazil. The application was organized to make the questionnaire flow linear, while maintaining the accordance with the structure presented in the manual. The score adapted to the Brazilian context allows health professionals to underpin their decisions with reliable information.

Christian ministry

10.1016/j.procs.2021.12.041

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Citations (0)

OUTB: application for decision-support in the outcomes of Tuberculosis

Procedia Computer Science (2024)

Mariana Tavares Mozini R. Rothschild Ana Clara de Andrade Mioto Filipe Andrade Bernardi Vinícius Lima

Brazil is among the 30 countries with the highest tuberculosis prevalence, and many studies are trying to understand and fight the harmful outcomes of this disease. In that sense, the following project proposes the development of a mobile application prototype that centralizes diagnosis aid tools for tuberculosis, making the process more transparent for the patient, using the Single Patient Application (SPA) concept. The application was built based on JavaScript and the frameworks chosen were Vue Framework along with Framework7 due to its focus on interface components. Communication with the back-end was done through AJAX calls. As a result, a prototype was built with the five main screens that the user will interact with: authentication/login screen, home screen, list of available algorithms, outcomes algorithm home screen and patient history. The interface design is expected to facilitate the planning of other application areas and contribute to defining business rules. Once implemented on the server side, these rules can support an organized, patient-centered tuberculosis database.

Interface (matter)

10.1016/j.procs.2024.06.241

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Citations (0)

Coletivo de Aprendizagem: trajetórias iniciais

Estrabão (2023)

Alexandra Spironello Isaac Brito Paulo Roberto de Magalhães Velasco Bastos Vinícius Lima Liz Dias

Contexto: Pesquisas sobre processos de aprendizagem humana em cursos de formação de professores têm sido discutidas. Esta pesquisa descreve o processo de formação da equipe do projeto "Coletivo de Aprendizagem em Geografia: estratégias autorregulatórias na formação de professores em Pelotas-RS". O projeto é focado em cinco ações: estratégias de aprendizagem dos estudantes de Licenciatura em Geografia, mapeamento das necessidades do curso e oficinas de intervenção. A metodologia inclui análise de documentos, observações, entrevistas e questionários aos estudantes. Oficinas serão planejadas e implementadas para promover a autorregulação da aprendizagem. Os resultados dessa pesquisa visam melhorar a formação de professores de Geografia e a prática educativa na área.

10.53455/re.v4i1.189

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Development and evaluation of an interoperable system based on the semantic web to enhance the management of patients’ tuberculosis data

Procedia Computer Science (2017)

Felipe Carvalho Pellison Rui Rijo Vinícius Lima Ricardo Roberto de Lima Ricardo Martinho

Tuberculosis (TB), despite all the efforts and progress made in the last decade, continues to be very relevant in Brazil as well as in other Portuguese-speaking countries, so there is the need to join efforts for increasing the effectiveness of the fight against TB. Therefore, the epidemiological surveillance system of TB requires, not only the implementation of basic prevention and care actions, but also the strengthening of the integration between the different health services, programs and levels of care, whose resolvability varies according to financial, technical and human resources, as well as service infrastructure that comprise the network of attention. The deepening and broadening of data management techniques must constantly be carried out to achieve, at a higher level, integration and integrity of the ideal and desirable health care. Then, the goal of this article is to describe the research methods used to develop an information system using systems interoperability techniques based on the Semantic Web paradigm that will contribute to the activities of epidemiological surveillance and the follow-up of TB patients.

10.1016/j.procs.2017.11.102

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Citations (15)

An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil

Procedia Computer Science (2023)

Nathalia Yukie Crepaldi Vinícius Lima Filipe Andrade Bernardi Domingos Alves

Tuberculosis is an infectious bacterial disease and one of the biggest public health problems in the world despite being curable. Research is still needed that considers operational aspects of treatment and control of its spread. Considering this scenario, the need to develop software that provides real-time information about the patient's path along health information systems for clinical decision-making is fundamental. Because of this, a region made up of 26 municipalities will implement a computerized system to monitor tuberculosis cases, the SISTB. However, the implementation of new technology can result in the creation of new functions and cause changes in the existing ones. Implementation research can be used as an approach where evidence can be provided to guide the use of digital technology in tuberculosis care. The RE-AIM framework provides a model to inform this research. Thus, this work aims to report the protocol of a study to evaluate the implementation of a health information system to assist in the monitoring of tuberculosis treatment, using the RE-AIM. The implementation will be carried out in 5 phases: i) define the locations that will receive the intervention; ii) prepare people to receive the intervention iii) train key people; iv) adapt the SISTB and/or the training according to the discussions in the previous phase; v) follow up and monitor the support of the technology. The data collected for the evaluation will come from the database of the implemented system, questionnaires, and training meetings. The forecast for the study conclusion is the end of 2023. As a result, we hope that the SISTB implementation will increase the positive outcomes of tuberculosis patients' treatment.

10.1016/j.procs.2023.01.393

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Citations (0)

The minimum dataset for rare diseases in Brazil: a systematic review protocol

Procedia Computer Science (2022)

Filipe Andrade Bernardi Diego Bettiol Yamada Bibiana Mello de Oliveira Vinícius Lima Têmis Maria Félix

The Minimum Data Set (MDS) can be used for subsidiarity decision-making and health planning. Besides, this strategy allows to identify obligatory points that must be adjusted to achieve sustainable management in the planning and development of relevant Health Information Systems for public health. Specifically, in the context of rare diseases, the MDS strategy can be very valuable. This systematic review will focus on research using MDS for rare diseases in several databases. We seek to answer the question: "What is the minimum data set used in registries for rare diseases?" Some outcomes of interests specific for MDS will involve information about epidemiology, clinical procedures, and therapeutic resources among other features. We hope that by standardizing data through a careful analysis of evidence from different sources of a common format, with shared specifications and structures, we can help in the methodological transparency and reproducibility of results in the context of rare disease research.

10.1016/j.procs.2021.12.034

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Citations (6)

The relevance of digital health strategies to support tuberculosis services in the COVID-19 pandemic context

Vinícius Lima Rui Rijo Filipe Andrade Bernardi Isabelle Carvalho Mariane Barros Neiva

Pandemic

Relevance

2019-20 coronavirus outbreak

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Citations (3)

A Permissioned Blockchain Network for Security and Sharing of De-identified Tuberculosis Research Data in Brazil

Methods of Information in Medicine (2020)

Vinícius Lima Filipe Andrade Bernardi Domingos Alves Afrânio Lineu Kritski Rafael Mello Galliez

Tuberculosis (TB) is an infectious disease and is among the top 10 causes of death in the world, and Brazil is part of the top 30 high TB burden countries. Data collection is an essential practice in health studies, and the adoption of electronic data capture (EDC) systems can positively increase the experience of data acquisition and analysis. Also, data-sharing capabilities are crucial to the construction of efficient and effective evidence-based decision-making tools for managerial and operational actions in TB services. Data must be held secure and traceable, as well as available and understandable, for authorized parties.In this sense, this work aims to propose a blockchain-based approach to build a reusable, decentralized, and de-identified dataset of TB research data, while increasing transparency, accountability, availability, and integrity of raw data collected in EDC systems.After identifying challenges and gaps, a solution was proposed to tackle them, considering its relevance for TB studies. Data security issues are being addressed by a blockchain network and a lightweight and practical governance model. Research Electronic Data Capture (REDCap) and KoBoToolbox are used as EDC systems in TB research. Mechanisms to de-identify data and aggregate semantics to data are also available.A permissioned blockchain network was built using Kaleido platform. An integration engine integrates the EDC systems with the blockchain network, performing de-identification and aggregating meaning to data. A governance model addresses operational and legal issues for the proper use of data. Finally, a management system facilitates the handling of necessary metadata, and additional applications are available to explore the blockchain and export data.Research data are an important asset not only for the research where it was generated, but also to underpin studies replication and support further investigations. The proposed solution allows the delivery of de-identified databases built in real time by storing data in transactions of a permissioned network, including semantic annotations, as data are being collected in TB research. The governance model promotes the correct use of the solution.

Data Sharing

Data integrity

Electronic data capture

Data governance

10.1055/s-0041-1727194

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Citations (2)