Pemodelan Graf Pengetahuan di Kesehatan: Sebuah Analisis Bibliometrik
DOI:
https://doi.org/10.35143/jkt.v8i1.5373Kata Kunci:
Analisis bibliometrik, Graf pengetahuan, KesehatanAbstrak
Masalah kesehatan saat ini merupakan masalah yang paling banyak diteliti di seluruh dunia. Banyak peneliti kesehatan berkolaborasi dengan peneliti non-kesehatan untuk meningkatkan kualitas kesehatan. Graf pengetahuan adalah pendekatan ilmu komputer dan matematika yang banyak digunakan untuk memecahkan masalah kesehatan. Graf pengetahuan dapat memodelkan hubungan antar peristiwa untuk membangun pengetahuan baru. Oleh karena itu, studi komprehensif tentang pemodelan grafik pengetahuan dalam perawatan kesehatan dilakukan dalam penelitian ini. Metodologi penelitian dalam penelitian ini adalah: (1) pencarian artikel dan analisis bibliometrik umum; (2) visualisasi distribusi penelitian; dan (3) rekomendasi penelitian. Dalam tiga tahun terakhir, 867 artikel diambil dari tiga database. Analisis metrik kutipan juga dilakukan untuk mengetahui tingkat kualitas temu kembali artikel. Analisis dilakukan dengan menggunakan visualisasi jaringan dan kepadatan terkait hubungan antara topik penelitian dan tren. Hasil akhir dalam makalah ini adalah rekomendasi topik penelitian dan judul penelitian terkait pemodelan graf pengetahuan di bidang kesehatan.Unduhan
Referensi
L. C. Shimomura, R. S. Oyamada, M. R. Vieira, and D. S. Kaster, “A survey on graph-based methods for similarity searches in metric spaces,†Information Systems, vol. 95, no. xxxx, p. 101507, 2021, doi: 10.1016/j.is.2020.101507.
M. E. Bales and S. B. Johnson, “Graph theoretic modeling of large-scale semantic networks,†Journal of Biomedical Informatics, vol. 39, no. 4, pp. 451–464, 2006, doi: 10.1016/j.jbi.2005.10.007.
R. Alguliyev, R. Aliguliyev, and F. Yusifov, “Graph modelling for tracking the COVID-19 pandemic spread,†Infect Dis Model, vol. 6, pp. 112–122, 2021, doi: 10.1016/j.idm.2020.12.002.
M. A. Furqon, N. A. Rakhmawati, and F. Mahananto, “Heart failure decision support system using semantic web approach,†Proceedings - 2018 3rd International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2018, no. July 2019, pp. 298–303, 2018, doi: 10.1109/ICITISEE.2018.8720984.
B. Shen, T. Guan, J. Ma, L. Yang, and Y. Liu, “Social Network Research Hotspots and Trends in Public Health: A Bibliometric and Visual Analysis,†Public Health in Practice, vol. 2, no. June, p. 100155, 2021, doi: 10.1016/j.puhip.2021.100155.
T. M. Abuhay, Y. G. Nigatie, and S. v. Kovalchuk, “Towards Predicting Trend of Scientific Research Topics using Topic Modeling,†Procedia Computer Science, vol. 136, pp. 304–310, 2018, doi: 10.1016/j.procs.2018.08.284.
T. Saheb, B. Amini, and F. Kiaei Alamdari, “Quantitative analysis of the development of digital marketing field: Bibliometric analysis and network mapping,†International Journal of Information Management Data Insights, vol. 1, no. 2, p. 100018, 2021, doi: 10.1016/j.jjimei.2021.100018.
M. A. Furqon, G. Faisal, and N. F. Najwa, “Graph Database Modelling on Malay Architecture IFC Data,†2021.
J. A. Moral-Muñoz, E. Herrera-Viedma, A. Santisteban-Espejo, and M. J. Cobo, “Software tools for conducting bibliometric analysis in science: An up-to-date review,†Profesional de la Informacion, vol. 29, no. 1, pp. 1–20, 2020, doi: 10.3145/epi.2020.ene.03.
I. Hamidah, Sriyono, and M. Hudha, “A Bibliometric analysis of Covid-19 research using VOSviewer,†Indonesian Journal of Science & Technology, vol. 5, no. 2, pp. 209–216, 2020.
X. Chen, S. Jia, and Y. Xiang, “A review: Knowledge reasoning over knowledge graph,†Expert Systems with Applications, vol. 141, 2020, doi: 10.1016/j.eswa.2019.112948.
O. Klapka and A. Slaby, “Visual Analysis of Search Results in Scopus Database,†in Digital Libraries for Open Knowledge, 2018, pp. 340–343.
E. Gibson, “NiftyNet: a deep-learning platform for medical imaging,†Computer Methods and Programs in Biomedicine, vol. 158, pp. 113–122, 2018, doi: 10.1016/j.cmpb.2018.01.025.
X. Chen, L. Huang, D. Xie, and Q. Zhao, “EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction.,†Cell death & disease, vol. 9, no. 1, p. 3, 2018, doi: 10.1038/s41419-017-0003-x.
S. Parisot, “Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease,†Medical Image Analysis, vol. 48, pp. 117–130, 2018, doi: 10.1016/j.media.2018.06.001.
L. Warrington, “Electronic systems for patients to report and manage side effects of cancer treatment: Systematic review,†Journal of Medical Internet Research, vol. 21, no. 1, 2019, doi: 10.2196/10875.
I. Tobore, “Deep learning intervention for health care challenges: Some biomedical domain considerations,†JMIR Mhealth Uhealth, vol. 7, no. 8, 2019, doi: 10.2196/11966.
X. Zheng, “Accelerating health data sharing: A solution based on the internet of things and distributed ledger technologies,†Journal of Medical Internet Research, vol. 21, no. 6, 2019, doi: 10.2196/13583.
Y. Zhao, “Retinal artery and vein classification via dominant sets clustering-based vascular topology estimation,†Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11071, pp. 56–64, 2018, doi: 10.1007/978-3-030-00934-2_7.
A. Sharma, “Impact of isolation precautions on quality of life: a meta-analysis,†Journal of Hospital Infection, vol. 105, no. 1, pp. 35–42, 2020, doi: 10.1016/j.jhin.2020.02.004.
J. C. Carvaillo, “Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach,†Environ Health Perspect, vol. 127, no. 4, p. 47005, 2019, doi: 10.1289/EHP4200.
A. A. Guerra, “Building the national database of health centred on the individual: Administrative and epidemiological record linkage - Brazil, 2000-2015,†International Journal of Population Data Science, vol. 3, no. 1, 2018, doi: 10.23889/ijpds.v3i1.446.
G. Bakal, P. Talari, E. v Kakani, and R. Kavuluru, “Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations.,†J Biomed Inform, vol. 82, pp. 189–199, 2018, doi: 10.1016/j.jbi.2018.05.003.
J. C. Brunson, “Applications of network analysis to routinely collected health care data: A systematic review,†Journal of the American Medical Informatics Association, vol. 25, no. 2, pp. 210–221, 2018, doi: 10.1093/jamia/ocx052.
T. M. Deist et al., “Distributed learning on 20 000+ lung cancer patients - The Personal Health Train.,†Radiother Oncol, vol. 144, pp. 189–200, 2020, doi: 10.1016/j.radonc.2019.11.019.
J. A. Shaffer, I. M. Kronish, L. Falzon, Y. K. Cheung, and K. W. Davidson, “N-of-1 Randomized Intervention Trials in Health Psychology: A Systematic Review and Methodology Critique.,†Ann Behav Med, vol. 52, no. 9, pp. 731–742, 2018, doi: 10.1093/abm/kax026.
M. Rostami, S. Forouzandeh, K. Berahmand, and M. Soltani, “Integration of multi-objective PSO based feature selection and node centrality for medical datasets.,†Genomics, vol. 112, no. 6, pp. 4370–4384, 2020, doi: 10.1016/j.ygeno.2020.07.027.
W. Zhang, “Efficacy and safety of photodynamic therapy for cervical intraepithelial neoplasia and human papilloma virus infection: A systematic review and meta-analysis of randomized clinical trials,†Medicine (United States), vol. 97, no. 21, 2018, doi: 10.1097/MD.0000000000010864.
M. A. Mahdi, “A Novel Software to Improve Healthcare Base on Predictive Analytics and Mobile Services for Cloud Data Centers,†Lecture Notes in Networks and Systems, vol. 81, pp. 320–339, 2020, doi: 10.1007/978-3-030-23672-4_23.
M. Daoud, “Automatic superpixel-based segmentation method for breast ultrasound images,†Expert Systems with Applications, vol. 121, pp. 78–96, 2019, doi: 10.1016/j.eswa.2018.11.024.
L. Li, “Real-world data medical knowledge graph: construction and applications,†Artificial Intelligence in Medicine, vol. 103, 2020, doi: 10.1016/j.artmed.2020.101817.
K. Thornton, “Using shape expressions (ShEx) to share rdf data models and to guide curation with rigorous validation,†Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11503, pp. 606–620, 2019, doi: 10.1007/978-3-030-21348-0_39.
Y. Khan, “One size does not fit all: Querying web polystores,†IEEE Access, vol. 7, pp. 9598–9617, 2019, doi: 10.1109/ACCESS.2018.2888601.
D. Fozoonmayeh, “A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning,†Journal of Medical Systems, vol. 44, no. 4, 2020, doi: 10.1007/s10916-019-1518-8.
P. Lara-Navarra, H. Falciani, E. A. Sánchez-Pérez, and A. Ferrer-Sapena, “Information Management in Healthcare and Environment: Towards an Automatic System for Fake News Detection.,†Int J Environ Res Public Health, vol. 17, no. 3, 2020, doi: 10.3390/ijerph17031066.
E. B. Panganiban, “Real-Time Intelligent Healthcare Monitoring and Diagnosis System Through Deep Learning and Segmented Analysis,†IFMBE Proceedings, vol. 74, pp. 15–25, 2020, doi: 10.1007/978-3-030-30636-6_3.
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