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Similarity Measuring for Clustering Patient’s Reports in Telemedicine
Intelligent Technologies and Applications
Springer, Singapore, March 2019
Ateya Iram, Sajid Habib Gill
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Bachelor||2||33%|
|Student > Doctoral Student||1||17%|
|Readers by discipline||Count||As %|
|Medicine and Dentistry||1||17%|