Clinical Document Clustering by Matrix

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Clinical Document Clustering by Matrix

Clinical Document Clustering by Matrix

Clinical Document Clustering by Matrix dot net project report contain huge of medical information and large free-text data source accommodate consisting manifestation and pharmaceutical details, which have an enormous possibilities to upgrading health care of patients. We define an approach to build a system that firstly pre-processes the clinical documents. Click here to get complete Dot Net projects lists.

The clinical documents are obtained from various hospitals and websites. We have used different tools like MedEx and MetaMap as annotators for extracting the manifestation names and the pharmaceutical names from clinical historical data. For clustering the fetched data we are using the NMF, parallel view NMF and to get Accuracy from k-means, which is a clustering technique.

Conclusion

In this Clinical Document Clustering by Matrix dot net project report  paper we have built a system to know the accuracy of pharmaceutical associated with each manifestation clinical notes to build profile for independent patient. The whole system consists of 7 parts: section annotator; word/sentence annotator; negation annotator; pharmaceutical (medication) name annotator; manifestation (symptom) name annotator, Age annotator, Climate annotator. Clinical Document Clustering by Matrix System Project

System Configuration:

H/W System Configuration:- 

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : Dot Net and PHP
Database                          : MYSQL

Project Name Clinical Document Clustering by Matrix
Project Category Dot Net
Project Cost 65$/ Rs 4999
Delivery Time 48 Hour
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