2020
DOI: 10.1155/2020/8828738
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Tianxia120: A Multimodal Medical Data Collection Bioinformatic System for Proactive Health Management in Internet of Medical Things

Abstract: A digital medical health system named Tianxia120 that can provide patients and hospitals with “one-step service” is proposed in this paper. Evolving from the techniques of Internet of Medical Things (IoMT), medical dig data, and medical Artificial Intelligence, the system can systematically promote the change of service status between doctors and patients from “passive mode” to “proactive mode” and realize online service that is similar to offline medical treatment scenarios. The system consists of a patient t… Show more

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Cited by 3 publications
(3 citation statements)
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“…A summary of the patient's health state, including issues, drugs, and allergies, is included in the CCR data set. This summary includes fundamental information regarding the patient's care plan, documentation, and health insurance [62], [137]. Further, from the literature it is observed for a recent development and speedy migration from HL7 document structure to FHIR.…”
Section: A Health Standards Documentationsmentioning
confidence: 99%
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“…A summary of the patient's health state, including issues, drugs, and allergies, is included in the CCR data set. This summary includes fundamental information regarding the patient's care plan, documentation, and health insurance [62], [137]. Further, from the literature it is observed for a recent development and speedy migration from HL7 document structure to FHIR.…”
Section: A Health Standards Documentationsmentioning
confidence: 99%
“…Data fusion is widely used in the research community as a proper method for multimodal data analysis [86]. Since the inception of the fusion concept several methods [33], [56], [96], [137], [161], [193], [194] have been proposed to deal with the fusion of multiple data types for such we prepared a comprehensive taxonomy view for fusion handling techniques as presented in Figure 12.…”
Section: B Multimodal Big Data Analyticsmentioning
confidence: 99%
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