title: [Use of translational database at clinical department].
abstract: In haematology it is assumed that integrative analysis of global gene expression, protein and cell profiles as well as clinical data will lead to the development of new diagnostic, prognostic and predictive methods. A translational database system registering and combining all data and clinical observations about the patient is therefore needed. It is expected that along with automated prediction and prognosis tools, such a database system may have the potential to assist the development of new machine-based diagnostic decision-making processes.
authors.affiliation: Arhus Universitetshospital, Aalborg Sygehus, Haematologisk Afdeling, Medicinsk Center.
authors.forename: Anne Dirks
authors.initials: AD
authors.lastname: Højfeldt
authors.forename: Hans E
authors.initials: HE
authors.lastname: Johnsen
authors.forename: Martin
authors.initials: M
authors.lastname: Bøgsted
authors.forename: Alexander
authors.initials: A
authors.lastname: Schmitz
authors.forename: Kirsten
authors.initials: K
authors.lastname: Fogd
authors.forename: Linda
authors.initials: L
authors.lastname: Pilgaard
authors.forename: Mette
authors.initials: M
authors.lastname: Nyegaard
authors.forename: Karen
authors.initials: K
authors.lastname: Dybkaer
authors.forename: Anne
authors.initials: A
authors.lastname: Bukh
mesh_terms: D018070:Biological Specimen Banks / Q000592:standards; D019992:Databases as Topic / Q000592:standards; D030541:Databases, Genetic / Q000592:standards; D003661:Decision Support Techniques; D020869:Gene Expression Profiling; D019337:Hematologic Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000628:therapy; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D014176:Protein Biosynthesis; D011785:Quality Assurance, Health Care; D018511:Systems Integration