A Querying Method over RDF-ized Health Level Seven v2.5 Messages Using Life Science Knowledge Resources

Journals

1. Nakagawa N, Sofue T, Kanda E, Nagasu H, Matsushita K, Nangaku M, Maruyama S, Wada T, Terada Y, Yamagata K, Narita I, Yanagita M, Sugiyama H, Shigematsu T, Ito T, Tamura K, Isaka Y, Okada H, Tsuruya K, Yokoyama H, Nakashima N, Kataoka H, Ohe K, Okada M, Kashihara N. J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan. Scientific Reports 2020;10(1) View
2. Natsiavas P, Malousi A, Bousquet C, Jaulent M, Koutkias V. Computational Advances in Drug Safety: Systematic and Mapping Review of Knowledge Engineering Based Approaches. Frontiers in Pharmacology 2019;10 View
3. Chepelev L, Giannopoulos A, Tang A, Mitsouras D, Rybicki F. Medical 3D printing: methods to standardize terminology and report trends. 3D Printing in Medicine 2017;3(1) View
4. Freedman H, Williams H, Miller M, Birtwell D, Mowery D, Stoeckert C. A novel tool for standardizing clinical data in a semantically rich model. Journal of Biomedical Informatics 2020;112:100086 View
5. Sofue T, Nakagawa N, Kanda E, Nagasu H, Matsushita K, Nangaku M, Maruyama S, Wada T, Terada Y, Yamagata K, Narita I, Yanagita M, Sugiyama H, Shigematsu T, Ito T, Tamura K, Isaka Y, Okada H, Tsuruya K, Yokoyama H, Nakashima N, Kataoka H, Ohe K, Okada M, Kashihara N, Shimosawa T. Prevalences of hyperuricemia and electrolyte abnormalities in patients with chronic kidney disease in Japan: A nationwide, cross-sectional cohort study using data from the Japan Chronic Kidney Disease Database (J-CKD-DB). PLOS ONE 2020;15(10):e0240402 View
6. Nagasu H, Yano Y, Kanegae H, Heerspink H, Nangaku M, Hirakawa Y, Sugawara Y, Nakagawa N, Tani Y, Wada J, Sugiyama H, Tsuruya K, Nakano T, Maruyama S, Wada T, Yamagata K, Narita I, Tamura K, Yanagita M, Terada Y, Shigematsu T, Sofue T, Ito T, Okada H, Nakashima N, Kataoka H, Ohe K, Okada M, Itano S, Nishiyama A, Kanda E, Ueki K, Kashihara N. Kidney Outcomes Associated With SGLT2 Inhibitors Versus Other Glucose-Lowering Drugs in Real-world Clinical Practice: The Japan Chronic Kidney Disease Database. Diabetes Care 2021;44(11):2542 View
7. Yano Y, Nagasu H, Kanegae H, Nangaku M, Hirakawa Y, Sugawara Y, Nakagawa N, Wada J, Sugiyama H, Nakano T, Wada T, Shimizu M, Suzuki H, Komatsu H, Nakashima N, Kitaoka K, Narita I, Okada H, Suzuki Y, Kashihara N. Kidney outcomes associated with haematuria and proteinuria trajectories among patients with IgA nephropathy in real‐world clinical practice: The Japan Chronic Kidney Disease Database. Nephrology 2024;29(2):65 View
8. Kishi S, Nakashima T, Goto T, Nagasu H, Brooks C, Okada H, Tamura K, Nakano T, Narita I, Maruyama S, Yano Y, Yokoo T, Wada T, Wada J, Nangaku M, Kashihara N. Association of serum magnesium levels with renal prognosis in patients with chronic kidney disease. Clinical and Experimental Nephrology 2024;28(8):784 View
9. Nyma Z, Kitaoka K, Yano Y, Kanegae H, Bayaraa N, Kishi S, Nagasu H, Nakano T, Wada J, Maruyama S, Nakagawa N, Tamura K, Yokoo T, Yanagita M, Narita I, Yamagata K, Wada T, Tsuruya K, Nakashima N, Isaka Y, Nangaku M, Kashihara N, Okada H, Terada Y, Araki S, Emoto M, Suzuki Y, Ohe K, Okada M, Kanda E, Kataoka H. Evaluating the associations between compliance with CKD guideline component metrics and renal outcomes. Scientific Reports 2024;14(1) View
10. Kitaoka K, Yano Y, Nagasu H, Kanegae H, Chishima N, Akiyama H, Tamura K, Kashihara N. Kidney outcomes of SGLT2 inhibitors among older patients with diabetic kidney disease in real-world clinical practice: the Japan Chronic Kidney Disease Database Ex. BMJ Open Diabetes Research & Care 2024;12(3):e004115 View

Books/Policy Documents

1. El Guemhioui K, Demurjian S. Data Analytics in Medicine. View