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Rare disease diagnosis as an information retrieval task. / Dragusin, Radu; Petcu, Paula; Lioma, Christina; Larsen, Birger; Jørgensen, Henrik; Winther, Ole.
Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. ed. / Giambattista Amati; Fabio Crestani. Springer, 2011. p. 356-359 (Lecture notes in computer science, Vol. 6931).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Dragusin, R, Petcu, P
, Lioma, C, Larsen, B, Jørgensen, H & Winther, O 2011,
Rare disease diagnosis as an information retrieval task. in G Amati & F Crestani (eds),
Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. Springer, Lecture notes in computer science, vol. 6931, pp. 356-359, 3rd International Conference on Advances in Information Retrieval Theory, Bertinoro, Italy,
12/09/2011.
https://doi.org/10.1007/978-3-642-23318-0_38APA
Dragusin, R., Petcu, P.
, Lioma, C., Larsen, B., Jørgensen, H., & Winther, O. (2011).
Rare disease diagnosis as an information retrieval task. In G. Amati, & F. Crestani (Eds.),
Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings (pp. 356-359). Springer. Lecture notes in computer science Vol. 6931
https://doi.org/10.1007/978-3-642-23318-0_38Vancouver
Dragusin R, Petcu P
, Lioma C, Larsen B, Jørgensen H, Winther O.
Rare disease diagnosis as an information retrieval task. In Amati G, Crestani F, editors, Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. Springer. 2011. p. 356-359. (Lecture notes in computer science, Vol. 6931).
https://doi.org/10.1007/978-3-642-23318-0_38Author
Dragusin, Radu ; Petcu, Paula ; Lioma, Christina ; Larsen, Birger ; Jørgensen, Henrik ; Winther, Ole. / Rare disease diagnosis as an information retrieval task. Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. editor / Giambattista Amati ; Fabio Crestani. Springer, 2011. pp. 356-359 (Lecture notes in computer science, Vol. 6931).
Bibtex
@inproceedings{7d5682edbeac48beb2dfcfa675067c39,
title = "Rare disease diagnosis as an information retrieval task",
abstract = "Increasingly more clinicians use web Information Retrieval (IR) systems to assist them in diagnosing difficult medical cases, for instance rare diseases that they may not be familiar with. However, web IR systems are not necessarily optimised for this task. For instance, clinicians{\textquoteright} queries tend to be long lists of symptoms, often containing phrases, whereas web IR systems typically expect very short keyword-based queries. Motivated by such differences, this work uses a preliminary study of 30 clinical cases to reflect on rare disease retrieval as an IR task. Initial experiments using both Google web search and offline retrieval from a rare disease collection indicate that the retrieval of rare diseases is an open problem with room for improvement. ",
author = "Radu Dragusin and Paula Petcu and Christina Lioma and Birger Larsen and Henrik J{\o}rgensen and Ole Winther",
year = "2011",
doi = "10.1007/978-3-642-23318-0_38",
language = "English",
isbn = "978-3-642-23317-3",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "356--359",
editor = "Giambattista Amati and Fabio Crestani",
booktitle = "Advances in Information Retrieval Theory",
address = "Switzerland",
note = "null ; Conference date: 12-09-2011 Through 14-09-2011",
}
RIS
TY - GEN
T1 - Rare disease diagnosis as an information retrieval task
AU - Dragusin, Radu
AU - Petcu, Paula
AU - Lioma, Christina
AU - Larsen, Birger
AU - Jørgensen, Henrik
AU - Winther, Ole
N1 - Conference code: 3
PY - 2011
Y1 - 2011
N2 - Increasingly more clinicians use web Information Retrieval (IR) systems to assist them in diagnosing difficult medical cases, for instance rare diseases that they may not be familiar with. However, web IR systems are not necessarily optimised for this task. For instance, clinicians’ queries tend to be long lists of symptoms, often containing phrases, whereas web IR systems typically expect very short keyword-based queries. Motivated by such differences, this work uses a preliminary study of 30 clinical cases to reflect on rare disease retrieval as an IR task. Initial experiments using both Google web search and offline retrieval from a rare disease collection indicate that the retrieval of rare diseases is an open problem with room for improvement.
AB - Increasingly more clinicians use web Information Retrieval (IR) systems to assist them in diagnosing difficult medical cases, for instance rare diseases that they may not be familiar with. However, web IR systems are not necessarily optimised for this task. For instance, clinicians’ queries tend to be long lists of symptoms, often containing phrases, whereas web IR systems typically expect very short keyword-based queries. Motivated by such differences, this work uses a preliminary study of 30 clinical cases to reflect on rare disease retrieval as an IR task. Initial experiments using both Google web search and offline retrieval from a rare disease collection indicate that the retrieval of rare diseases is an open problem with room for improvement.
U2 - 10.1007/978-3-642-23318-0_38
DO - 10.1007/978-3-642-23318-0_38
M3 - Article in proceedings
SN - 978-3-642-23317-3
T3 - Lecture notes in computer science
SP - 356
EP - 359
BT - Advances in Information Retrieval Theory
A2 - Amati, Giambattista
A2 - Crestani, Fabio
PB - Springer
Y2 - 12 September 2011 through 14 September 2011
ER -
