Text Analysis of Electronic Medical Records to Predict Seclusion in Psychiatric Wards: Proof of Concept.

Hazewinkel, Mirjam C; de Winter, Remco F P; van Est, Roel W; van Hyfte, Dirk; Wijnschenk, Danny; Miedema, Narda; Hoencamp, Erik

Hazewinkel, Mirjam C; de Winter, Remco F P; van Est, Roel W; van Hyfte, Dirk; Wijnschenk, Danny; Miedema, Narda; Hoencamp, Erik.

Afiliación

Hazewinkel MC; Clinical Centre for Acute Psychiatry, Parnassia, Parnassia Group, The Hague, Netherlands.
de Winter RFP; Clinical Centre for Acute Psychiatry, Parnassia, Parnassia Group, The Hague, Netherlands.
van Est RW; Department of Clinical Psychology, VU University, Amsterdam, Netherlands.
van Hyfte D; Data Research Office, Antes, Parnassia Group, Rotterdam, Netherlands.
Wijnschenk D; InterSystems BV Benelux, Vilvoorde, Belgium.
Miedema N; InterSystems BV Benelux, Vilvoorde, Belgium.
Hoencamp E; Clinical Centre for Acute Psychiatry, Parnassia, Parnassia Group, The Hague, Netherlands.

Front Psychiatry ; 10: 188, 2019.

Article en En | MEDLINE | ID: mdl-31031650

Palabras clave

data mining; electronic medical record; psychiatric inpatient ward; seclusion; text mining

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Psychiatry Año: 2019 Tipo del documento: Article

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