Patrícia Takako Endo

Universidade de Pernambuco · PE · 27 publicações em 2022–2026

Cloud Computing and Resource ManagementArtificial Intelligence in HealthcareIoT and Edge/Fog ComputingDistributed systems and fault toleranceSoftware-Defined Networks and 5G

Principais coautores no Nordeste tamanho = publicações em comum

Élisson da Silva Rocha Flávio Leandro Morais Kayo Henrique de Carvalho Monteiro Sebastião Rogério da Silva Neto Igor Vitor Teixeira Thomás Tabosa de Oliveira Waldemar Brandão Neto Kátia Maria Mendes Maria Eduarda Ferro de Mello Raphael Augusto de Sousa Dourado Anna Beatriz Silva Cleber Matos de Morais

Publicações recentes

2026 6

On the usage of artificial intelligence for identifying main attributes and predicting neonatal sepsis
Medicina · Scientific Reports
ANGELS: An Intelligent Gestational Follow-Up System
Profissões da saúde · IEEE Access
Generative Language Models for Disease Treatment Recommendations: A Systematic Literature Review
Medicina · Journal of Healthcare Informatics Research
Clinical and social determinants of COVID-19 lethality and ICU admission across variant waves in the Brazilian Amazon
Medicina · International Journal of Epidemiology
Chronic phase of Chikungunya: understanding the impact of joint pain using data science and artificial intelligence
Medicina · Tropical Medicine and Health
On Usage of Artificial Intelligence on Pulmonary Diseases in Neonates: A Systematic Literature Review
Medicina · IEEE Access

2025 6

Integrating machine learning and spatial clustering for malaria case prediction in Brazil’s Legal Amazon
Medicina · BMC Infectious Diseases
Artificial Intelligence for Women and Child Healthcare: Is AI Able to Change the Beginning of a New Story? A Perspective
Medicina · Health Science Reports
On the usage of artificial intelligence in leprosy care: A systematic literature review
Medicina · PLoS Computational Biology
Utilization of tree-based machine learning models for predicting low birth weight cases
Profissões da saúde · BMC Pregnancy and Childbirth
Machine learning for preventing stillbirths: is it possible to transform data into life-saving insights?
Profissões da saúde · BMC Pregnancy and Childbirth
On Usage of Artificial Intelligence for Predicting Neonatal Diseases, Conditions, and Mortality: A Bibliometric Review
Profissões da saúde · IEEE Access

2024 5

Tips from an expert panel on the development of a clinical research protocol
Enfermagem · BMC Medical Research Methodology
Data Descriptor of Snakebites in Brazil from 2007 to 2020
Farmacologia e toxicologia · Data
Evaluation of artificial intelligence models for predicting low birth weight using Brazilian real data
Profissões da saúde · Health and Technology
Correction: Tips from an expert panel on the development of a clinical research protocol
Enfermagem · BMC Medical Research Methodology
Socio-demographic data of zika records, brazil, 2016-2021
Medicina · Latin American Data in Science

2023 2

Predicting congenital syphilis cases: A performance evaluation of different machine learning models
Profissões da saúde · PLoS ONE
Latin America in the clutches of an old foe: Dengue
Medicina · The Brazilian Journal of Infectious Diseases

2022 8

Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review
Medicina · PLoS neglected tropical diseases
Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
Medicina · Scientific Data
On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature
Profissões da saúde · BMC Medical Informatics and Decision Making
A Comparative Study of Deep Learning Models for Dental Segmentation in Panoramic Radiograph
Odontologia · Applied Sciences
Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018
Medicina · Revista da Sociedade Brasileira de Medicina Tropical
A Comparative Study of Machine Learning Techniques for Multi-Class Classification of Arboviral Diseases
Profissões da saúde · Frontiers in Tropical Diseases
A Brazilian classified data set for prognosis of tuberculosis, between January 2001 and April 2020
Medicina · Scientific Data
Author Correction: Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
Medicina · Scientific Data

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