Machine learning as a clinical decision support tool for diagnosing superficial peritoneal endometriosis in women with dysmenorrhea and acyclic pelvic pain (2024)
- Authors:
- USP affiliated authors: NOGUEIRA, ANTONIO ALBERTO - FMRP ; REIS, FRANCISCO JOSÉ CÂNDIDO DOS - FMRP ; SILVA, JULIO CESAR ROSA E - FMRP ; TIEZZI, DANIEL GUIMARÃES - FMRP ; NÉTTO, OMÉRO BENEDICTO POLI - FMRP ; SANTOS, LETÍCIA LUIZA ALVES - FMRP ; SHIMAMURA, LIA KEIKO SOUSA - FMRP
- Unidade: FMRP
- DOI: 10.18103/mra.v12i12.6204
- Subjects: DOR CRÔNICA; PELVE; ENDOMETRIOSE; LAPAROSCOPIA; APRENDIZADO COMPUTACIONAL
- Keywords: Chronic pelvic pain; Dysmenorrhoea; Endometriosis; Laparoscopy; Machine learning; Prediction
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Medical Research Archives
- ISSN: 2375-1916
- Volume/Número/Paginação/Ano: v. 12, n. 12, on-line (24 p), 2024
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SANTOS, Letícia Luiza Alves et al. Machine learning as a clinical decision support tool for diagnosing superficial peritoneal endometriosis in women with dysmenorrhea and acyclic pelvic pain. Medical Research Archives, v. 12, n. 12, 2024Tradução . . Disponível em: https://doi.org/10.18103/mra.v12i12.6204. Acesso em: 31 mar. 2026. -
APA
Santos, L. L. A., Azevedo, M. C. de, Shimamura, L. K. S., Nogueira, A. A., Reis, F. J. C. dos, Schor, E., et al. (2024). Machine learning as a clinical decision support tool for diagnosing superficial peritoneal endometriosis in women with dysmenorrhea and acyclic pelvic pain. Medical Research Archives, 12( 12). doi:10.18103/mra.v12i12.6204 -
NLM
Santos LLA, Azevedo MC de, Shimamura LKS, Nogueira AA, Reis FJC dos, Schor E, Rosa e Silva JC, Tiezzi DG, Poli Netto OB. Machine learning as a clinical decision support tool for diagnosing superficial peritoneal endometriosis in women with dysmenorrhea and acyclic pelvic pain [Internet]. Medical Research Archives. 2024 ; 12( 12):[citado 2026 mar. 31 ] Available from: https://doi.org/10.18103/mra.v12i12.6204 -
Vancouver
Santos LLA, Azevedo MC de, Shimamura LKS, Nogueira AA, Reis FJC dos, Schor E, Rosa e Silva JC, Tiezzi DG, Poli Netto OB. Machine learning as a clinical decision support tool for diagnosing superficial peritoneal endometriosis in women with dysmenorrhea and acyclic pelvic pain [Internet]. Medical Research Archives. 2024 ; 12( 12):[citado 2026 mar. 31 ] Available from: https://doi.org/10.18103/mra.v12i12.6204 - Analysis of differential genetic expression in endometrial polyps of postmenopausal women
- Reduction of pain sensitivity is associated with the response to treatment in women with chronic pelvic pain
- Análise fenomenológica dos mecanismos de enfrentamento da dor em mulheres com dor pélvica crônica
- Social isolation in women with endometriosis and chronic pelvic pain
- Diagnosis of endometriosis in women with chronic pelvic pain
- Measurement of pain and anthropometric parameters in women with chronic pelvic pain
- Measures used to assess chronic pelvic pain in randomized controlled clinical trials: a systematic review
- History of childhood maltreatment and symptoms of anxiety and depression in women with chronic pelvic pain
- Anaesthetic injection versus ischemic compression for the pain relief of abdominal wall trigger points in women with chronic pelvic pain
- Prevalence of chronic pelvic pain and associated factors among indigenous women of reproductive age in Ecuador
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
003287768.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
