Cancer Risk Prediction Using Machine Learning for Supporting Early Cancer Diagnosis in Symptomatic Patients: A Systematic Review of Model Types
Year: 2025
Type: article
Language: en
Topic: Artificial Intelligence in Healthcare and Education
Authors and affiliations:
raw_author_name: Flavia Pennisi
raw_affiliation_strings: PhD National Programme in One Health Approaches to Infectious Diseases and Life Science Research, Department of Public Health, Experimental and Forensic Medicine University of Pavia  Pavia Italy
School of Medicine Università Vita‐Salute San Raffaele  Milano Italy
PhD National Programme in One Health Approaches to Infectious Diseases and Life Science Research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
School of Medicine, Università Vita-Salute San Raffaele, Milano, Italy
raw_author_name: Stefania Borlini
raw_affiliation_strings: School of Medicine Università Vita‐Salute San Raffaele  Milano Italy
School of Medicine, Università Vita-Salute San Raffaele, Milano, Italy
raw_author_name: Hannah Harrison
raw_affiliation_strings: Department of Public Health and Primary Care, School of Clinical Medicine University of Cambridge  Cambridge UK
Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
raw_author_name: Rita Cuciniello
raw_affiliation_strings: School of Medicine Università Vita‐Salute San Raffaele  Milano Italy
School of Medicine, Università Vita-Salute San Raffaele, Milano, Italy
raw_author_name: Anna Carole D'Amelio
raw_affiliation_strings: School of Medicine Università Vita‐Salute San Raffaele  Milano Italy
School of Medicine, Università Vita-Salute San Raffaele, Milano, Italy
raw_author_name: Matthew Barclay
raw_affiliation_strings: Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care University College London  London UK
Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
raw_author_name: Giovanni Emanuele Ricciardi
raw_affiliation_strings: PhD National Programme in One Health Approaches to Infectious Diseases and Life Science Research, Department of Public Health, Experimental and Forensic Medicine University of Pavia  Pavia Italy
School of Medicine Università Vita‐Salute San Raffaele  Milano Italy
School of Medicine, Università Vita-Salute San Raffaele, Milano, Italy
PhD National Programme in One Health Approaches to Infectious Diseases and Life Science Research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
raw_author_name: Georgios Lyratzopoulos
raw_affiliation_strings: Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care University College London  London UK
Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
raw_author_name: Cristina Renzi
raw_affiliation_strings: Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care University College London  London UK
School of Medicine Università Vita‐Salute San Raffaele  Milano Italy
Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
School of Medicine, Università Vita-Salute San Raffaele, Milano, Italy