Antonio Higor Freire de Morais
Biographic Data
| ID | 10026693 |
|---|---|
| NAME | Antonio Higor Freire de Morais |
| GIVEN NAMES | Antonio Higor Freire |
| FAMILY NAME | de Morais |
| SIGNATURE | DE MORAIS A H F |
| AFFILIATIONS | Universidade Federal do Rio Grande do Norte |
| ORCID | 0000-0002-5921-6696 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Scientific and technological mapping of big data architectures in healthcare
Context The growth of data in healthcare brings both challenges and opportunities. The term Big Data refers to the handling of large volumes of data using advanced techniques and scalable infrastructure. Distributed processing and parallel computing accelerate data processing and necessitate a robust architecture. A Big Data architecture requires distributed systems, security, data storage, processing, analysis, and visualization. Crucially, in a…
Computational methods applied to syphilis: Where are we, and where are we going
Syphilis is an infectious disease that can be diagnosed and treated cheaply. Despite being a curable condition, the syphilis rate is increasing worldwide. In this sense, computational methods can analyze data and assist managers in formulating new public policies for preventing and controlling sexually transmitted infections (STIs). Computational techniques can integrate knowledge from experiences and, through an inference mechanism, apply condit…
Digital health solution for monitoring and surveillance of Amyotrophic Lateral Sclerosis in Brazil
Amyotrophic Lateral Sclerosis (ALS) is a complex and rare neurodegenerative disease given its heterogeneity. Despite being known for many years, few countries have accurate information about the characteristics of people diagnosed with ALS, such as data regarding diagnosis and clinical features of the disease. In Brazil, the lack of information about ALS limits data for the research progress and public policy development that benefits people affe…
Electronic health records in Brazil: Prospects and technological challenges
Electronic Health Records (EHR) are critical tools for advancing digital health worldwide. In Brazil, EHR development must follow specific standards, laws, and guidelines that contribute to implementing beneficial resources for population health monitoring. This paper presents an audit of the main approaches used for EHR development in Brazil, thus highlighting prospects, challenges, and existing gaps in the field. We applied a systematic review …
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Electronic health records in Brazil: Prospects and technological challenges
Electronic Health Records (EHR) are critical tools for advancing digital health worldwide. In Brazil, EHR development must follow specific standards, laws, and guidelines that contribute to implementing beneficial resources for population health monitoring. This paper presents an audit of the main approaches used for EHR development in Brazil, thus highlighting prospects, challenges, and existing gaps in the field. We applied a systematic review …
Computational methods applied to syphilis: Where are we, and where are we going
Syphilis is an infectious disease that can be diagnosed and treated cheaply. Despite being a curable condition, the syphilis rate is increasing worldwide. In this sense, computational methods can analyze data and assist managers in formulating new public policies for preventing and controlling sexually transmitted infections (STIs). Computational techniques can integrate knowledge from experiences and, through an inference mechanism, apply condit…
Digital health solution for monitoring and surveillance of Amyotrophic Lateral Sclerosis in Brazil
Amyotrophic Lateral Sclerosis (ALS) is a complex and rare neurodegenerative disease given its heterogeneity. Despite being known for many years, few countries have accurate information about the characteristics of people diagnosed with ALS, such as data regarding diagnosis and clinical features of the disease. In Brazil, the lack of information about ALS limits data for the research progress and public policy development that benefits people affe…
Scientific and technological mapping of big data architectures in healthcare
Context The growth of data in healthcare brings both challenges and opportunities. The term Big Data refers to the handling of large volumes of data using advanced techniques and scalable infrastructure. Distributed processing and parallel computing accelerate data processing and necessitate a robust architecture. A Big Data architecture requires distributed systems, security, data storage, processing, analysis, and visualization. Crucially, in a…
Computer Science (2 works) · Data science (2 works) · Medicine (2 works) · Political science (2 works) · Public health (2 works) · Amyotrophic lateral sclerosis (1 works) · Amyotrophic Lateral Sclerosis Research (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare (1 works) · Audit (1 works)