Abstract
The complexity of the medical diagnostic practices is faced nowadays mainly with an extensive and long education and with on-the-job training for GPs. Despite these efforts, a big part of the diagnostic process remains implicit in the everyday practicies of skilled professionals. This project aims at an explicit tracking of this ability through the filling-in of an additional importance level for the voices in the Electronic Medical Record. The collected data leads to the extraction of rules that can empower a Decision Support System for hand dermatological practictioner with suggestios and/or diagnoses distribution probability for a specific situation.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 248-257 |
| Number of pages | 10 |
| Volume | 8025 LNCS |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: Healthcare and Safety of the Environment and Transport, DHM 2013, Held as Part of 15th Int. Conf. Human-Computer Interaction, HCI 2013 - Las Vegas, NV, United States Duration: Jul 21 2013 → Jul 26 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 8025 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: Healthcare and Safety of the Environment and Transport, DHM 2013, Held as Part of 15th Int. Conf. Human-Computer Interaction, HCI 2013 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 7/21/13 → 7/26/13 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Explicit tracking in the diagnostic process for hand dermatological practices. / Mazzola, Luca; Marceglia, Sara; Bonacina, Stefano; Pinciroli, Francesco; Ayala, Fabio; De Pitá, Ornella; Pigatto, Paolo.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8025 LNCS PART 1. ed. 2013. p. 248-257 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8025 LNCS, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Explicit tracking in the diagnostic process for hand dermatological practices
AU - Mazzola, Luca
AU - Marceglia, Sara
AU - Bonacina, Stefano
AU - Pinciroli, Francesco
AU - Ayala, Fabio
AU - De Pitá, Ornella
AU - Pigatto, Paolo
PY - 2013
Y1 - 2013
N2 - The complexity of the medical diagnostic practices is faced nowadays mainly with an extensive and long education and with on-the-job training for GPs. Despite these efforts, a big part of the diagnostic process remains implicit in the everyday practicies of skilled professionals. This project aims at an explicit tracking of this ability through the filling-in of an additional importance level for the voices in the Electronic Medical Record. The collected data leads to the extraction of rules that can empower a Decision Support System for hand dermatological practictioner with suggestios and/or diagnoses distribution probability for a specific situation.
AB - The complexity of the medical diagnostic practices is faced nowadays mainly with an extensive and long education and with on-the-job training for GPs. Despite these efforts, a big part of the diagnostic process remains implicit in the everyday practicies of skilled professionals. This project aims at an explicit tracking of this ability through the filling-in of an additional importance level for the voices in the Electronic Medical Record. The collected data leads to the extraction of rules that can empower a Decision Support System for hand dermatological practictioner with suggestios and/or diagnoses distribution probability for a specific situation.
UR - http://www.scopus.com/inward/record.url?scp=84879892485&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879892485&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39173-6_30
DO - 10.1007/978-3-642-39173-6_30
M3 - Conference contribution
SN - 9783642391729
VL - 8025 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 248
EP - 257
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -