Titlebook: Epidemiologic Research on Real-World Medical Data in Japan; Volume 2 Naoki Nakashima Book 2022 The Editor(s) (if applicable) and The Author

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被诅咒的人

Epidemiologic Research on Real-World Medical Data in Japan978-981-19-1622-9Series ISSN 2520-1913 Series E-ISSN 2520-1921

Interdict

https://doi.org/10.1007/978-981-19-1622-9Aging; Medical Big Data; Hospital Medical Records; RWD; NDB; National Database; MID-NET; Medical Informatio

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Naoki NakashimaExplains how big data analysis functions in Japanese medical RWDs.Introduces four major big data projects in Japanese medical RWDs, their purposes, methods, and issues.Outlines technological and ethic

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SpringerBriefs for Data Scientists and Innovatorshttp://image.papertrans.cn/e/image/313151.jpg

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debunk

Alexander Verweyen,Gregor Eckertm to public health insurance. ACD is created every month at every hospital and clinic that practice insurance medical care. As for clinical laboratory examination, examinations were performed. However, data about the examination results are not available due to claim purposes.

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性冷淡

Phenotyping of Administrative Claims Datam to public health insurance. ACD is created every month at every hospital and clinic that practice insurance medical care. As for clinical laboratory examination, examinations were performed. However, data about the examination results are not available due to claim purposes.

definition

Medical Process Analysis by Using All-Variance Type Outcome-Oriented Electronic Clinical Pathway Datay. These “outcome” are linked “assessment” to estimate whether “outcome” is achieved or not, objectively and “task” containing medical practice (blood examination, treatment, instruction and so on) to do.