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  We provide projects on wireless communication, WEKA, SentiWordNet, SDN, QUALlNet, OPNET, OpenCV, MiniNet, PEERSIM and so on

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  We do research on Wordnet, Grid Computing, Cloud Computing, Computer Networking, etc

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  We provide electrical projects based on power electronics, MATLAB Simulink and SIM Power

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  For Electronics Engineering Students we support technologies like ARM, GSM, GPS, RFID, Robotics, VLSI, NSL, NS3, OMNet++, OPNet, QUALNET, PeerSim

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  For Computer Science Students we support NS2, NS3, MATLAB, Java, OMNeT++, OPNet, CloudSim, Qualnet, Weka, Wordnet, Dot Net, Hadoop,….

          NLP projects in Egypt is one of our universal organization started by our maestros skills and proficiency of vast knowledge provide guidance service for students. We offer vast experience and enormous concepts / better result in NLP projects provide for students of final year from various apostle. Approach through our online service, we avail anytime provide guidance service for you.

Best topics for NLP modern titles list below:

• Learning probabilistic phenotypes from heterogeneous EHR data
• Creation of a new longitudinal corpus of clinical narratives
• A context-aware approach for progression tracking of medical concepts in electronic medical records
• Implementing generalization and suppression for anonymizing biomedical data with minimal information loss
• Hidden Markov model using Dirichlet process for de-identification [NLP projects in Egypt]
• Textual inference for eligibility criteria resolution in clinical trials
• Comparison of UMLS terminologies to identify risk of heart disease using clinical notes
• A hybrid model for automatic identification of risk factors for heart disease
• An automatic system to identify heart disease risk factors in clinical texts over time
• Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes
• Coronary artery disease risk assessment from unstructured electronic health records using text mining
• CRFs based de-identification of medical records
• Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models
• Risk factor detection for heart disease by applying text analytics in electronic medical records [NLP projects in Egypt]
• A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases