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.
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
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|
|For Support||WhatsApp: +91 9481545735 or Email: email@example.com|
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