Formulating multi diseases dataset for identifying, triaging and prioritizing patients to multi medical emergency levels: Simulated dataset accompanied with codes.

Salman, Omar H; Aal-Nouman, Mohammed I; Taha, Zahraa K; Alsabah, Muntadher Q; Hussein, Yaseein S; Abdelkareem, Zahraa A

Salman, Omar H; Aal-Nouman, Mohammed I; Taha, Zahraa K; Alsabah, Muntadher Q; Hussein, Yaseein S; Abdelkareem, Zahraa A.

Afiliação

Salman OH; Networking Department, Faculty of Engineering, AL Iraqia University, Baghdad, Iraq.
Aal-Nouman MI; College of Information Engineering, Al-Nahrain University, Baghdad, Iraq.
Taha ZK; Networking Department, Faculty of Engineering, AL Iraqia University, Baghdad, Iraq.
Alsabah MQ; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4ET, United Kingdom.
Hussein YS; Information Systems and Computer Science Department, Ahmed Bin Mohammed Military College (ABMMC), P.O. Box: 22988, Doha, Qatar.
Abdelkareem ZA; Alimam Aladham University College, Iraq.

Data Brief ; 34: 106576, 2021 Feb.

Article em En | MEDLINE | ID: mdl-33354596

Palavras-chave

Blood pressure; E- health; ECG; Healthcare; Machine learning; Sensor; SpO2; Telemedicine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Data Brief Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Iraque

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