Difference between revisions of "File:Fig2 Pathinarupothi BMCMedInfoDecMak2018 18.png"
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==Summary== | |||
{{Information | |||
|Description='''Figure 2.''' Personalized Quantization. Quantization of sensor data is based on multiple severity categorization criteria, resulting in the generation of patient- and disease-specific quantized values. |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 00:00, 5 February 2019
Summary
Description |
Figure 2. Personalized Quantization. Quantization of sensor data is based on multiple severity categorization criteria, resulting in the generation of patient- and disease-specific quantized values. |
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Date |
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Author |
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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