title: Machine learning analysis of proteomics data for early diagnosis.
abstract: Ovarian cancer (OC) can usually clinically be diagnosed only at the late stages of the disease. We show that the combination of the biomarker antigen CA125 with proteomic mass spectra data and applying newly developed machine learning algorithms, may establish a diagnosis of OC very early.
authors.affiliation: Computer Learning Research Centre, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK. dmitry@cs.rhul.ac.uk
authors.forename: Dmitry
authors.initials: D
authors.lastname: Devetyarov
mesh_terms: D001185:Artificial Intelligence; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D010051:Ovarian Neoplasms / Q000175:diagnosis; D040901:Proteomics