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Machine learning computational tools to assist the performance of systematic reviews: A mapping review.
Cierco Jimenez, Ramon; Lee, Teresa; Rosillo, Nicolás; Cordova, Reynalda; Cree, Ian A; Gonzalez, Angel; Indave Ruiz, Blanca Iciar.
Affiliation
  • Cierco Jimenez R; International Agency for Research on Cancer (IARC/WHO), Evidence Synthesis and Classification Branch, Lyon, France. ciercor@iarc.who.int.
  • Lee T; Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain. ciercor@iarc.who.int.
  • Rosillo N; International Agency for Research on Cancer (IARC/WHO), Services to Science and Research Branch, Lyon, France.
  • Cordova R; Servicio de Medicina Preventiva, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Cree IA; International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, Lyon, France.
  • Gonzalez A; Department of Nutritional Sciences, University of Vienna, Vienna, Austria.
  • Indave Ruiz BI; International Agency for Research on Cancer (IARC/WHO), Evidence Synthesis and Classification Branch, Lyon, France.
BMC Med Res Methodol ; 22(1): 322, 2022 12 16.
Article in En | MEDLINE | ID: mdl-36522637
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Machine Learning Type of study: Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: BMC Med Res Methodol Year: 2022 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Machine Learning Type of study: Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: BMC Med Res Methodol Year: 2022 Document type: Article