title: Towards a decision support system for hand dermatology.
abstract: The complexity of the medical diagnosis is faced by practitioners relying mainly on their experiences. This can be acquired during daily practices and on-the-job training. Given the complexity and extensiveness of the subject, supporting tools that include knowledge extracted by highly specialized practitioners can be valuable. In the present work, a Decision Support System (DSS) for hand dermatology was developed based on data coming from a Visit Report Form (VRF). Using a Bayesian approach and factors significance difference over the population average for the case, we demonstrated the potentiality of creating an enhanced VRF that include a diagnoses distribution probability based on the DSS rules applied for the specific patient situation.
authors.affiliation: eHealthLAB, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ITALY.
authors.forename: Luca
authors.initials: L
authors.lastname: Mazzola
authors.affiliation: eHealthLAB, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ITALY.
authors.forename: Alice
authors.initials: A
authors.lastname: Cavazzina
authors.affiliation: eHealthLAB, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ITALY.
authors.forename: Francesco
authors.initials: F
authors.lastname: Pinciroli
authors.affiliation: eHealthLAB, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ITALY.
authors.forename: Stefano
authors.initials: S
authors.lastname: Bonacina
authors.affiliation: Università degli Studi di Milano, Milano, Italy.
authors.forename: Paolo
authors.initials: P
authors.lastname: Pigatto
authors.affiliation: Università di Napoli Federico II, Napoli, Italy.
authors.forename: Fabio
authors.initials: F
authors.lastname: Ayala
authors.affiliation: Servizio di Allergologia ed Immunologia Clinica e di Laboratorio, Istituto Dermopatico dell'Immacolata, Roma, Italy.
authors.forename: Ornella
authors.initials: O
authors.lastname: De Pità
authors.affiliation: eHealthLAB, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ITALY.
authors.forename: Sara
authors.initials: S
authors.lastname: Marceglia
mesh_terms: D001185:Artificial Intelligence; D001499:Bayes Theorem; D003627:Data Interpretation, Statistical; D057225:Data Mining / Q000379:methods; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003661:Decision Support Techniques; D003880:Dermatology / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D003937:Diagnosis, Differential; D006229:Hand Dermatoses / Q000175:diagnosis*; D006801:Humans; D007558:Italy; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity