Evaluating the risk of endometriosis based on patients' self-assessment questionnaires.

Zielinski, Krystian; Drabczyk, Dajana; Kunicki, Michal; Drzyzga, Damian; Kloska, Anna; Ruminski, Jacek

Zielinski, Krystian; Drabczyk, Dajana; Kunicki, Michal; Drzyzga, Damian; Kloska, Anna; Ruminski, Jacek.

Afiliação

Zielinski K; INVICTA, Research and Development Center, Sopot, Poland. krystian.zielinski@invicta.pl.
Drabczyk D; Department of Biomedical Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland. krystian.zielinski@invicta.pl.
Kunicki M; INVICTA, Research and Development Center, Sopot, Poland.
Drzyzga D; INVICTA, Research and Development Center, Sopot, Poland.
Kloska A; INVICTA, Research and Development Center, Sopot, Poland.
Ruminski J; INVICTA, Research and Development Center, Sopot, Poland. anna.kloska@ug.edu.pl.

Reprod Biol Endocrinol ; 21(1): 102, 2023 Oct 28.

Article em En | MEDLINE | ID: mdl-37898817

Assuntos

Endometriose; Humanos; Feminino; Gravidez; Adulto; Endometriose/diagnóstico; Qualidade de Vida; Cesárea; Autoavaliação (Psicologia); Inquéritos e Questionários

Palavras-chave

Endometriosis; Fertility; Machine learning; Questionnaire; Symptom-based prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Endometriose Limite: Adult / Female / Humans / Pregnancy Idioma: En Revista: Reprod Biol Endocrinol Assunto da revista: ENDOCRINOLOGIA / MEDICINA REPRODUTIVA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Polônia

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