Utilizing Learn-to-Rank Systems for More Effective Diagnosis in Rural Family Medicine-Reference-Cited by-同舟云学术

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Utilizing Learn-to-Rank Systems for More Effective Diagnosis in Rural Family Medicine

Published:2023-10-17 Issue: Volume: Page:
ISSN:2168-8184
Container-title:Cureus
language:en
Short-container-title:

Author:

Ohta Ryuichi,Sano Chiaki

Publisher

Springer Science and Business Media LLC

Subject

Aerospace Engineering

Reference5 articles.

1. Family physicians as system-specific specialists in Japan’s aging society;Ohta R;Cureus,2022

2. Diagnosis support systems for rare diseases: a scoping review;Faviez C;Orphanet J Rare Dis,2020

3. Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process;Miyachi Y;BMC Med Inform Decis Mak,2023

4. Better diagnostic performance using computer-assisted diagnostic support systems in internal medicine;Kuriyama Y;Okayama Igakkai Zasshi,2019

5. Case report-driven medical education in rural family medicine education: a thematic analysis;Ohta R;Healthcare (Basel),2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Concurrent Presentation of Pustular Psoriasis and Late-Onset Rheumatoid Arthritis: A Diagnostic Challenge in a Community Hospital Setting;Cureus;2023-12-10

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