A5002303469- Artificial Intelligence in Healthcare
- Complex Systems and Time Series Analysis
- Genomics and Rare Diseases
- Genetics, Bioinformatics, and Biomedical Research
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Digital Imaging for Blood Diseases
- Scientific Computing and Data Management
- Cystic Fibrosis Research Advances
- Research Data Management Practices
- BRCA gene mutations in cancer
- Tuberculosis Research and Epidemiology
- Mobile Health and mHealth Applications
- Information Science and Libraries
- Data-Driven Disease Surveillance
Universidade de São Paulo
2023
Centro Universitário Barão de Mauá
2022
<title>Abstract</title> <bold>Background: </bold>Digital governance in health research is crucial for ensuring data quality, accessibility, and interoperability, particularly the context of rare diseases. Establishing a National Rare Diseases Registry Brazil faces structural technological challenges. The Brazilian Disease Network (RARAS) proposes an innovative digital model to standardize, manage, enhance use these data, aligning with FAIR Principles (Findable, Accessible, Interoperable,...
Extracting information and discovering patterns from a massive dataset is hard task. In an epidemic scenario, this data has to be integrated providing organization, agility, transparency and, above all, it free of any type censorship or bias. The aim paper analyze how coronavirus contamination evolved in Brazil applying unsupervised analysis algorithms extract find characteristics between them. To achieve goal we describe implementation that uses about Covid-19 spread Brazilian states (26...
Tuberculosis (TB) remains one of the most lethal infectious diseases in world and, despite being preventable and curable, kills 4.500 people daily, according to World Health Organization (WHO). Brazil, a country heavily affected by TB, works improve social intervention programs, since decrease patients vulnerability seems have positive effect for cure TB. The Brazilian public health system records data on TB treatment that can guide actions interventions. In this context, machine learning...
Brazil is one of the countries with worst response against pandemic scenario coronavírus. At beginning we were on average 4000 deaths in a 24 hours period. In course this situation, large amounts health and medicine datasets being generated real time, requiring effective ways to extract information discover patterns that can help fight disease. And even more important monitor progress prophylactic measures whether they are reducing spread virus. Thus, aim study analyze how coronavirus has...
<sec> <title>UNSTRUCTURED</title> Rare diseases have garnered increasing attention in public policy discussions due to their complexity, low prevalence, and considerable challenges healthcare settings. Comprehensive care for people with rare requires strengthening existing services, programs, levels of care. It is imperative make available digital health tools that can contribute epidemiological surveillance activities patient follow-up, as well the education awareness professionals about...
Tuberculosis (TB) is one of the infectious diseases that currently causes most deaths, with 6.4 million new cases recorded in 2021. Although it a curable disease, drug-resistant strains emerge due to lack hygiene and low-quality or inappropriate medications, among other factors. With this mind, World Health Organization initiated End TB Strategy campaign improve health system fight against tuberculosis. For this, reliable high-quality data necessary create effective public policies. However,...
Among the main factors that negatively influence decision-making process, it is possible to highlight low quality, availability, and integration of population health data. This study aims difficulty research based on tuberculosis data available in Brazil. The FAIR methodology a solution for standardizing sharing information about disease. All actors involved, including those who generate administrators systems, should be encouraged know their strengths weaknesses. Continuously fostering...