MedSpecSearch: Medical specialty search

Name: MedSpecSearch: Medical specialty search
Author: Şahin, Mehmet Uluç, Balatkan, Eren, Eran, Cihan, Zeydan, E., Yeniterzi, Reyyan

İsim	MedSpecSearch: Medical specialty search
Yazar	Şahin, Mehmet Uluç, Balatkan, Eren, Eran, Cihan, Zeydan, E., Yeniterzi, Reyyan
Basım Tarihi:	2019
Basım Yeri	- Springer Nature
Konu	Medical text classification, Word embeddings, Confidence estimation, Data collection
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-303015718-0
Kayıt Numarası	9902a713-a6ba-496a-9e1c-02dd9b703be7
Lokasyon	Computer Science
Tarih	2019
Notlar	Türk Telekom R&D Center.
Örnek Metin	MedSpecSearch (www.medspecsearch.com) is a search engine for helping users to find the relevant medical specialty for a doctor visit based on users’ description of symptoms. This system is useful for users who are not sure of which medical specialty they should consult to. Furthermore, the API of the search engine can be used as part of the online doctor appointment and medical consultation sites to route the patient or question to the right medical specialty. The system returns the top three relevant specialties when the estimated confidence score is high. Otherwise, it asks users to input more data.
DOI	10.1007/978-3-030-15719-7_29
Cilt	11438

Kaynağa git Özyeğin Üniversitesi

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Özyeğin Üniversitesi

Kaynağa git

MedSpecSearch: Medical specialty search

Yazar Şahin, Mehmet Uluç, Balatkan, Eren, Eran, Cihan, Zeydan, E., Yeniterzi, Reyyan

Basım Tarihi 2019

Basım Yeri - Springer Nature

Konu Medical text classification, Word embeddings, Confidence estimation, Data collection

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-303015718-0

Kayıt Numarası 9902a713-a6ba-496a-9e1c-02dd9b703be7

Lokasyon Computer Science

Tarih 2019

Notlar Türk Telekom R&D Center.

Örnek Metin MedSpecSearch (www.medspecsearch.com) is a search engine for helping users to find the relevant medical specialty for a doctor visit based on users’ description of symptoms. This system is useful for users who are not sure of which medical specialty they should consult to. Furthermore, the API of the search engine can be used as part of the online doctor appointment and medical consultation sites to route the patient or question to the right medical specialty. The system returns the top three relevant specialties when the estimated confidence score is high. Otherwise, it asks users to input more data.

DOI 10.1007/978-3-030-15719-7_29

Cilt 11438