pubs2024

@inproceedings{Ribeiro2019,

title = {A Comparative Study of Optical Character Recognition in Health Information System},

author = {M. R. M. Ribeiro and D. Julio and V. Abelha and A. Abelha and J. MacHado},

editor = {Quintal F. Morgado-Dias F.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075045115&doi=10.1109%2fCEAP.2019.8883448&partnerID=40&md5=1de6f86565f23ef15d48173be053cf26},

doi = {10.1109/CEAP.2019.8883448},

isbn = {9781728129624},

year  = {2019},

date = {2019-01-01},

journal = {2019 International Conference on Engineering Applications, ICEA 2019 - Proceedings},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Most Health Institutes are transitioning between documents in physical format and digital format. It is pertinent and important to develop applications that helps health professionals on this transition. An application that would aid the process of digitalization of documents was developed using a Python library. To help with the decision of which library to use, a study was made regarding the precision and speed of execution of PyOCR, PyTesseract and TesseOCR. © 2019 IEEE.},

note = {cited By 6; Conference of 2019 International Conference on Engineering Applications, ICEA 2019 ; Conference Date: 8 July 2019 Through 11 July 2019; Conference Code:153483},

keywords = {Comparative studies; Digital format; Health information systems; Health professionals; Python; Wrapper, Health, High level languages; Optical character recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Marques2010305,

title = {Archetype-based semantic interoperability in healthcare},

author = {A. Marques and A. Correia and L. Cerqueira and J. Machado and J. Neves},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956355835&partnerID=40&md5=76b2fe6a21ce9376a62c94b2eb0d1c78},

isbn = {9789896740221; 9789896740221},

year  = {2010},

date = {2010-01-01},

journal = {ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings},

volume = {2},

pages = {305-308},

address = {Valencia},

abstract = {Advances in new Methodologies for Problem Solving and Information Technology enable a fundamental redesign of health care processes based on the use and integration of data and/or knowledge at all levels, in a healthcare environment. Indeed, new communication technologies may support a transition from institution centric to patient-centric based applications, i.e., the health care system is faced with a series of challenges, namely those concerning quality-of-information and the cost-effectiveness of such processes. The distribution of cost-effective health care allowing the patient to take active part in the caring process, provision of evidence-based care on all levels in the system and effective use and reuse of information are key issues for the health care organization. The information and communication technology infrastructure should therefore reflect the view of the health care system as a seamless system where information can flow across organizational and professional borders. Therefore, in this work it will be address key principles that must be at the center of patient-centered technologies for disease management and prevention, namely those referred to above.},

note = {cited By 1; Conference of 2nd International Conference on Agents and Artificial Intelligence, ICAART 2010 ; Conference Date: 22 January 2010 Through 24 January 2010; Conference Code:81591},

keywords = {Active parts; Care process; Communication technologies; Disease management; Electronic health record; Health-care system; Healthcare environments; Healthcare organizations; Information and Communication Technologies; Key issues; Quality of information; Seamless system; Semantic interoperability, Artificial intelligence; Cost effectiveness; Health care; Information technology; Interoperability; Records management; Semantics, Health},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Machado200694,

title = {Ambient intelligence in medicine},

author = {J. Machado and A. Abelha and J. Neves and M. Santos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949086819&doi=10.1109%2fBIOCAS.2006.4600316&partnerID=40&md5=51e7b7118fc18cf6ef71eb64d03a7c8f},

doi = {10.1109/BIOCAS.2006.4600316},

isbn = {1424404371; 9781424404377},

year  = {2006},

date = {2006-01-01},

journal = {IEEE 2006 Biomedical Circuits and Systems Conference Healthcare Technology, BioCAS 2006},

pages = {94-97},

address = {London},

abstract = {The Electronic Medical Record (EMR) is a core application which covers horizontally the health care unit and makes possible a transverse analysis of medical records along the services, units or treated pathologies, bringing to the healthcare arena new methodologies for problem solving, computational models, technologies and tools. One aims to develop a comprehensive, structured approach to EMR development and analysis. Indeed, this paper will thrash out the inner features of intelligent agents to be used in the EMR, in the context of the Telemedical Information Society, a step in the direction of Intelligent Health Care Units. © 2006 IEEE.},

note = {cited By 25; Conference of IEEE 2006 Biomedical Circuits and Systems Conference Healthcare Technology, BioCAS 2006 ; Conference Date: 29 November 2006 Through 1 December 2006; Conference Code:73754},

keywords = {Ambient Intelligence; Biomedical circuits and systems; Computational modelling; Electronic medical record; Health care technology; Information society; Medical records; Structured approach, Artificial intelligence; Computer software; Decision making; Electric relays; Electronic medical equipment; Health care; Intelligent agents; Medical computing; Medicine; Problem solving; Technology, Health},

pubstate = {published},

tppubtype = {inproceedings}

}