{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T15:54:53Z","timestamp":1790351693028,"version":"4.1.0"},"reference-count":39,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T00:00:00Z","timestamp":1782000000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Sichuan Science and Technology Program","award":["2026YFHZ0159"],"award-info":[{"award-number":["2026YFHZ0159"]}]},{"name":"Sichuan Science and Technology Program","award":["2024YFNH0018"],"award-info":[{"award-number":["2024YFNH0018"]}]},{"name":"Sichuan Science and Technology Program","award":["2024YFHZ0088"],"award-info":[{"award-number":["2024YFHZ0088"]}]},{"name":"Sichuan Science and Technology Program","award":["2023YFN0009"],"award-info":[{"award-number":["2023YFN0009"]}]},{"name":"Xizang Science and Technology Department Project","award":["XZ202401ZY00018"],"award-info":[{"award-number":["XZ202401ZY00018"]}]},{"name":"Xizang Science and Technology Department Project","award":["XZ202601ZY0078"],"award-info":[{"award-number":["XZ202601ZY0078"]}]},{"name":"Sichuan Province Unmanned System Intelligent Sensing and Control Technology Engineering Laboratory Open project","award":["WRXT2023-2"],"award-info":[{"award-number":["WRXT2023-2"]}]},{"DOI":"10.13039\/501100011798","name":"Ministry of Agriculture and Rural Affairs","doi-asserted-by":"crossref","award":["2024QSNZ04"],"award-info":[{"award-number":["2024QSNZ04"]}],"id":[{"id":"10.13039\/501100011798","id-type":"DOI","asserted-by":"crossref"}]},{"award":["2024QSNZ04"],"award-info":[{"award-number":["2024QSNZ04"]}],"id":[{"id":"https:\/\/ror.org\/05ckt8b96","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Veterinary Sciences"],"abstract":"<jats:p>In artificial breeding of forest musk deer (Moschus berezovskii), common diseases such as abscess, enteritis, pneumonia, and parasitic infections exhibit persistently high morbidity rates. The early symptoms of certain diseases are often insidious and difficult to discern. Conventional manual inspection routines not only fail to achieve accurate diagnosis but also frequently disturb the animals, induce stress responses, and consequently delay optimal treatment windows. To address this practical challenge, this study employs an improved BRW-GPLinker joint entity-relationship extraction approach to perform integrated extraction and structural organization of disease entities, symptom manifestations, etiological associations, and preventive and therapeutic measures from farming literature and clinical records, thereby constructing a disease knowledge graph for forest musk deer. Through the introduction of a Boundary-Aware Module for refined entity boundary detection, a Relative Distance Bias Module to mitigate pairing errors in dense contexts, and a Weighted Sparse Multi-label Cross-Entropy loss function to enhance recall for infrequent relations, the proposed model achieves an F1 score of 0.887 on a self-constructed dataset and demonstrates favorable generalization capability on medical-domain datasets. By transforming fragmented clinical logs and manuals into structured medical associations, this knowledge graph facilitates rapid retrieval of forest musk deer disease information, thereby enhancing veterinary decision-making efficiency and assisting forest musk deer health management.<\/jats:p>","DOI":"10.3390\/vetsci13060602","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T05:37:17Z","timestamp":1782279437000},"page":"602","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Intelligent Veterinary Disease Management Driven by Knowledge Graph for Conservation Breeding of Captive Forest Musk Deer"],"prefix":"10.3390","volume":"13","author":[{"given":"Dequan","family":"Guo","sequence":"first","affiliation":[{"name":"School of Automation, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Automation, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8159-0514","authenticated-orcid":false,"given":"Zijie","family":"Lan","sequence":"additional","affiliation":[{"name":"School of Automation, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2933-3645","authenticated-orcid":false,"given":"Chengli","family":"Zheng","sequence":"additional","affiliation":[{"name":"Sichuan Institute of Musk Deer Breeding, Sichuan Institute for Drug Control, Chengdu 611845, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dapeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Sichuan Chuanrongda Technology Co., Ltd., Chengdu 610041, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenyu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Sichuan Chuanrongda Technology Co., Ltd., Chengdu 610041, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minyao","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Automation, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,6,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lu, X., Sheng, Y., Ye, H., Yang, Z., and Meng, X. 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