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A Área Científica de Controlo, Automação e Informática Industrial (ACCAII) integrada no Departamento de Engenharia Mecânica agrega dois grupos de disciplinas que são oferecidas a vários cursos dos 1º, 2º e 3º ciclos de estudos superiores:

·         Controlo, Automação e Robótica

·         Informática Industrial

O corpo docente da ACCAII é composto por 11 docentes doutorados, que desempenham actividades de investigação no Centro de Sistemas Inteligentes do IDMEC como Membros Integrados, ou como Membros Colaboradores.


Anúncios

Seminário do DEM

2 Março 2020, 12:05 - João Carlos Reis

Intelligent Systems in Mechanical Engineering


Speaker:

Fotografia da pessoa

Prof. João Miguel da Costa Sousa

(Full Professor at IST)

Wednesday, March 4th, 13h30 (room FA1)


Todos os Anúncios

Eventos

ACCAII Seminars

2 Março 2020, 11:56 - João Carlos Reis

Datasets: the balance over quality and quantity

(Postponed!)


Speaker:

Profª. Susana Vieira

(Assistant Professor at IST)

Clinical medicine relies on a strong research foundation in order to build the necessary evidence base to inform best practices and improve clinical care, however, large-scale randomized controlled trials (RCTs) are expensive and sometimes unfeasible. Fortunately, there exists expansive data in the form of electronic health records (EHR). The healthcare industry has rapidly become computerized and digital. Most health-care delivered in America today relies on or utilizes technology. Modern healthcare informatics generates and stores immense amounts of detailed patient and clinical process data. Very little real-world patient data have been used to further advance the field of health care. One large barrier to the utilization of these data is inaccessibility to researchers. Making these databases easier to access as well as integrating the data would allow more researchers to answer fundamental questions of clinical care. Data can be overwhelmingly complex or incomplete for any individual, therefore we urge multidisciplinary research teams consisting of clinicians along with data scientists to unpack the clinical semantics necessary to appropriately analyze the data.


Wednesday, March 11th, 13h30 (room 4.4, Pav. Mec. III)


Todos os eventos.