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- W4377695655 abstract "With the growth of data and intelligent technologies, the healthcare sector opened numerous technology that enabled services for patients, clinicians, and researchers. One major hurdle in achieving state-of-the-art results in health informatics is domain-specific terminologies and their semantic complexities. A knowledge graph crafted from medical concepts, events, and relationships acts as a medical semantic network to extract new links and hidden patterns from health data sources. Current medical knowledge graph construction studies are limited to generic techniques and opportunities and focus less on exploiting real-world data sources in knowledge graph construction. A knowledge graph constructed from Electronic Health Records (EHR) data obtains real-world data from healthcare records. It ensures better results in subsequent tasks like knowledge extraction and inference, knowledge graph completion, and medical knowledge graph applications such as diagnosis predictions, clinical recommendations, and clinical decision support. This review critically analyses existing works on medical knowledge graphs that used EHR data as the data source at (i) representation level, (ii) extraction level (iii) completion level. In this investigation, we found that EHR-based knowledge graph construction involves challenges such as high complexity and dimensionality of data, lack of knowledge fusion, and dynamic update of the knowledge graph. In addition, the study presents possible ways to tackle the challenges identified. Our findings conclude that future research should focus on knowledge graph integration and knowledge graph completion challenges." @default.
- W4377695655 created "2023-05-24" @default.
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- W4377695655 creator A5034836721 @default.
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- W4377695655 date "2023-07-01" @default.
- W4377695655 modified "2023-10-16" @default.
- W4377695655 title "Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study" @default.
- W4377695655 cites W1529533208 @default.
- W4377695655 cites W1538085078 @default.
- W4377695655 cites W1566289585 @default.
- W4377695655 cites W2159583324 @default.
- W4377695655 cites W2170146596 @default.
- W4377695655 cites W2184957013 @default.
- W4377695655 cites W2283196293 @default.
- W4377695655 cites W2327091741 @default.
- W4377695655 cites W2404901863 @default.
- W4377695655 cites W2504897554 @default.
- W4377695655 cites W2509893387 @default.
- W4377695655 cites W2587223734 @default.
- W4377695655 cites W2651948199 @default.
- W4377695655 cites W2728059831 @default.
- W4377695655 cites W2735115066 @default.
- W4377695655 cites W2735585131 @default.
- W4377695655 cites W2759136286 @default.
- W4377695655 cites W2769065924 @default.
- W4377695655 cites W2791164948 @default.
- W4377695655 cites W2802532163 @default.
- W4377695655 cites W2804186728 @default.
- W4377695655 cites W2806114307 @default.
- W4377695655 cites W2885112991 @default.
- W4377695655 cites W2905315292 @default.
- W4377695655 cites W2911489562 @default.
- W4377695655 cites W2945623882 @default.
- W4377695655 cites W2946102439 @default.
- W4377695655 cites W2963600951 @default.
- W4377695655 cites W2963923670 @default.
- W4377695655 cites W2972535098 @default.
- W4377695655 cites W2979250794 @default.
- W4377695655 cites W2980569702 @default.
- W4377695655 cites W2981175810 @default.
- W4377695655 cites W2982424689 @default.
- W4377695655 cites W2990532790 @default.
- W4377695655 cites W2995738274 @default.
- W4377695655 cites W2999515483 @default.
- W4377695655 cites W3003507729 @default.
- W4377695655 cites W3004611733 @default.
- W4377695655 cites W3005237274 @default.
- W4377695655 cites W3008526620 @default.
- W4377695655 cites W3010336026 @default.
- W4377695655 cites W3016026271 @default.
- W4377695655 cites W3033511014 @default.
- W4377695655 cites W3033896008 @default.
- W4377695655 cites W3035863525 @default.
- W4377695655 cites W3036397942 @default.
- W4377695655 cites W3039683705 @default.
- W4377695655 cites W3043950946 @default.
- W4377695655 cites W3048964647 @default.
- W4377695655 cites W3080318198 @default.
- W4377695655 cites W3092301826 @default.
- W4377695655 cites W3093150592 @default.
- W4377695655 cites W3111386522 @default.
- W4377695655 cites W3137562585 @default.
- W4377695655 cites W3163233738 @default.
- W4377695655 cites W3165291537 @default.
- W4377695655 cites W3165832785 @default.
- W4377695655 cites W3167128805 @default.
- W4377695655 cites W3205754679 @default.
- W4377695655 cites W3208182228 @default.
- W4377695655 cites W3211201308 @default.
- W4377695655 cites W3212074329 @default.
- W4377695655 cites W3213921583 @default.
- W4377695655 cites W3215349798 @default.
- W4377695655 cites W4207003375 @default.
- W4377695655 cites W4210493972 @default.
- W4377695655 cites W4224278993 @default.
- W4377695655 cites W4226246530 @default.
- W4377695655 cites W4280505534 @default.
- W4377695655 cites W4281715344 @default.
- W4377695655 cites W4282945993 @default.
- W4377695655 cites W4283391017 @default.
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- W4377695655 cites W4286512643 @default.
- W4377695655 cites W4298148357 @default.
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- W4377695655 cites W4318983406 @default.
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- W4377695655 doi "https://doi.org/10.1016/j.jbi.2023.104403" @default.
- W4377695655 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37230406" @default.
- W4377695655 hasPublicationYear "2023" @default.
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