Difference between revisions of "File:Fig1 Pathinarupothi BMCMedInfoDecMak2018 18.png"

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==Summary==
{{Information
|Description='''Figure 1.''' RASPRO-PAF framework. The architecture shows the RASPRO-PAF framework, which progressively converts the raw multi-sensor data into quantized symbols, helpful motifs, diagnostic predictions, and critical alerts. |title=Data to diagnosis in global health: A 3P approach |journal=BMC Medical Informatics and Decision Making |author=Pathinarupothi, R.K.; Durga, P.; Rangan, E.S. |volume=18 |pages=78 |year=2018 |doi=10.1186/s12911-018-0658-y}}
|Author=Pathinarupothi, R.K.; Durga, P.; Rangan, E.S.
|Date=2018
|Permission=[https://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
}}
== Licensing ==
== Licensing ==
{{cc-by-4.0}}
{{cc-by-4.0}}

Revision as of 23:46, 4 February 2019

Summary

Description

Figure 1. RASPRO-PAF framework. The architecture shows the RASPRO-PAF framework, which progressively converts the raw multi-sensor data into quantized symbols, helpful motifs, diagnostic predictions, and critical alerts.

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Pathinarupothi, R.K.; Durga, P.; Rangan, E.S.

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|Author=Pathinarupothi, R.K.; Durga, P.; Rangan, E.S. |Date=2018 |Permission=Creative Commons Attribution 4.0 International }}

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