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
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 09 fev. 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 fev. 09 ] 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 fev. 09 ] 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 o DOI: 10.18103/mra.v12i12.6204 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
