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Machine Learning (ML) based-method applied in recurrent pregnancy loss (RPL) patients diagnostic work-up: a potential innovation in common clinical practice.
Bruno, V; D'Orazio, M; Ticconi, C; Abundo, P; Riccio, S; Martinelli, E; Rosato, N; Piccione, E; Zupi, E; Pietropolli, A.
Afiliación
  • Bruno V; Academic Department of Biomedicine and Prevention, University of Rome Tor Vergata, and Clinical Department of Surgical Sciences, Section of Gynecology, Tor Vergata University Hospital, Viale Oxford, 81 - 00133, Rome, Italy. valentinabruno_86@hotmail.it.
  • D'Orazio M; Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico, 1 - 00133, Rome, Italy.
  • Ticconi C; Academic Department of Surgical Sciences, Section of Gynecology, Tor Vergata University Hospital, Viale Oxford, 81 - 00133, Rome, Italy.
  • Abundo P; Medical Engineering Service and General Direction, Tor Vergata University Hospital, Viale Oxford, 81 - 00133, Rome, Italy.
  • Riccio S; Academic Department of Surgical Sciences, Section of Gynecology, Tor Vergata University Hospital, Viale Oxford, 81 - 00133, Rome, Italy.
  • Martinelli E; Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico, 1 - 00133, Rome, Italy.
  • Rosato N; Academic Department of Experimental Medicine and Surgery, University of Rome Tor Vergata, and Medical Engineering Service and General Direction, Tor Vergata University Hospital, Viale Oxford, 81 - 00133, Rome, Italy.
  • Piccione E; Academic Department of Surgical Sciences, Section of Gynecology, Tor Vergata University Hospital, Viale Oxford, 81 - 00133, Rome, Italy.
  • Zupi E; Department of Molecular Medicine and Development, University of Siena, University Hospital "S.Maria alle Scotte" Viale Mario Bracci, 53100, Siena, Italy.
  • Pietropolli A; Academic Department of Surgical Sciences, Section of Gynecology, Tor Vergata University Hospital, Viale Oxford, 81 - 00133, Rome, Italy.
Sci Rep ; 10(1): 7970, 2020 05 14.
Article en En | MEDLINE | ID: mdl-32409705

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aborto Habitual / Aprendizaje Automático Límite: Adolescent / Adult / Female / Humans / Middle aged / Pregnancy Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aborto Habitual / Aprendizaje Automático Límite: Adolescent / Adult / Female / Humans / Middle aged / Pregnancy Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Reino Unido