Explicit tracking in the diagnostic process for hand dermatological practices

Luca Mazzola; Sara Marceglia; Stefano Bonacina; Francesco Pinciroli; Fabio Ayala; Ornella De Pitá; Paolo Pigatto

doi:10.1007/978-3-642-39173-6_30

Explicit tracking in the diagnostic process for hand dermatological practices

Luca Mazzola, Sara Marceglia, Stefano Bonacina, Francesco Pinciroli, Fabio Ayala, Ornella De Pitá, Paolo Pigatto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1007/978-3-642-39173-6_30
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

Mazzola, L., Marceglia, S., Bonacina, S., Pinciroli, F., Ayala, F., De Pitá, O., & Pigatto, P. (2013). Explicit tracking in the diagnostic process for hand dermatological practices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 8025 LNCS, pp. 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). https://doi.org/10.1007/978-3-642-39173-6_30

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

Mazzola, L, Marceglia, S, Bonacina, S, Pinciroli, F, Ayala, F, De Pitá, O & Pigatto, P 2013, Explicit tracking in the diagnostic process for hand dermatological practices. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 8025 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8025 LNCS, pp. 248-257, 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, 7/21/13. https://doi.org/10.1007/978-3-642-39173-6_30

Mazzola L, Marceglia S, Bonacina S, Pinciroli F, Ayala F, De Pitá O et al. Explicit tracking in the diagnostic process for hand dermatological practices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 8025 LNCS. 2013. p. 248-257. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-39173-6_30

Mazzola, Luca ; Marceglia, Sara ; Bonacina, Stefano ; Pinciroli, Francesco ; Ayala, Fabio ; De Pitá, Ornella ; Pigatto, Paolo. / Explicit tracking in the diagnostic process for hand dermatological practices. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8025 LNCS PART 1. ed. 2013. pp. 248-257 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{2125c682d5b246fcb5d16e08cfd8d8a3,

title = "Explicit tracking in the diagnostic process for hand dermatological practices",

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.",

author = "Luca Mazzola and Sara Marceglia and Stefano Bonacina and Francesco Pinciroli and Fabio Ayala and {De Pit{\'a}}, Ornella and Paolo Pigatto",

year = "2013",

doi = "10.1007/978-3-642-39173-6_30",

language = "English",

isbn = "9783642391729",

volume = "8025 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 1",

pages = "248--257",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

edition = "PART 1",

note = "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 ; Conference date: 21-07-2013 Through 26-07-2013",

}

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

AN - SCOPUS:84879892485

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)

T2 - 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

Y2 - 21 July 2013 through 26 July 2013

ER -

Access to Document

10.1007/978-3-642-39173-6_30