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Algoritmi | User | Márcia Annie Araújo Esteves

Márcia Annie Araújo Esteves

Márcia Annie Araújo Esteves

At Algoritmi

Research Collaborator with MSc

Member of the CST R&D Group

Member of the KEG R&D Lab

Academic Degree

MSc

Current Position

Other at Escola de Engenharia da Universidade do Minho

Personal Webpage

Personal Email

marcia.esteves@algoritmi.uminho.pt

Orcid

0000-0003-4770-5502

Researcher ID

FCT Public Key

J818381KDYFj

Ciência ID

8217-6D6B-6AFC

Google Scholar

About Me



A Proof of Concept of a Business Intelligence Platform to Support the Decision-Making Process of Health Professionals in Waiting Lists

2021 | book-chapter

A New System to Assist Elders' Self-Care and Their Informal Caregivers

International Journal of Reliable and Quality E-Healthcare

2020 | journal-article

A Proof of Concept of a Mobile Health Application to Support Professionals in a Portuguese Nursing Home

Sensors

2019 | journal-article

A Mobile Health Application to Assist Health Professionals: A Case Study in a Portuguese Nursing Home

Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health

2019 | conference-poster

Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2019 | book-chapter

A Proof of Concept of a Business Intelligence Platform to Support the Decision-Making Process of Health Professionals in Waiting Lists

2021 | book-chapter

A New System to Assist Elders' Self-Care and Their Informal Caregivers

International Journal of Reliable and Quality E-Healthcare

2020 | journal-article

A Proof of Concept of a Mobile Health Application to Support Professionals in a Portuguese Nursing Home

Sensors

2019 | journal-article

A Mobile Health Application to Assist Health Professionals: A Case Study in a Portuguese Nursing Home

Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health

2019 | conference-poster

Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2019 | book-chapter