Health Care Administration And Data Retrival System
Keywords:
Electronic health records, data mining, information storage and retrieval, user-computer interface.Abstract
Health care Management & information retrieval system is meant for multispecialty hospitals, to hide a large range of hospital administration and management processes. it's an integrated end-to-end Hospital Management System that has relevant information across the hospital to support effective decision making for patient care, hospital administration and demanding money accounting, during a seamless flow.`This HCMIRS code provides the advantages of efficient operations, increased administration & management, superior patient care, strict price management and improved profit for multi-specialty hospitals. it's powerful, flexible, and simple to use and is meant and developed to deliver real conceivable advantages to hospitals and clinics. additional significantly it's backed by our reliable and dependable support.
References
[1] R. Akerkar. Foundations of the Semantic Web: XML, RDF & Ontology. Alpha Science International, Ltd., 2009.
[2] R. K. Ando, M. Dredze, and T. Zhang. TREC 2005 Genomics Track experiments at IBM Watson. In TREC, 2014. http://trec.nist.gov/pubs/trec14/papers/ibm-tjwatson.geo.pdf
[3] Stopwords. In PubMed Help. National Library of Medicine, Bethesda, MD, 2007. http://www.ncbi.nlm.nih.gov/books/bv.fcgi?highlight=stopwords&rid=helppubmed.table. pubmedhelp.T43
[4] PubMed Help, 2014. http://www.ncbi.nlm.nih.gov/books/NBK3827/ [5] A. R. Aronson, D. Demner-Fushman, S. M. Humphrey, J. J. Lin, P. Ruch, M. E. Ruiz, L. H. Smith, L. K. Tanabe, W. J. Wilbur, and H. Liu. Fusion of knowledge-intensive and statistical approaches for retrieving and annotating textual genomics documents. In TREC, 2005. http://trec.nist.gov/pubs/trec14/papers/nlm-umd.geo.pdf
[6] A. R. Aronson, S. M. Humphrey, N. C. Ide, W. Kim, R. R. Loane, J. G. Mork, L. H. Smith, L. K. Tanabe, W. J. Wilbur, N. Xie, et al. Knowledge-intensive and statistical approaches to the retrieval and annotation of genomics MEDLINE citations. In TREC, 2004. http://trec.nist.gov/pubs/trec13/papers/nlm-umd-ul.geo.pdf
[7] A. R. Aronson, J. G. Mork, C. W. Gay, S. M. Humphrey, and W. J. Rogers. The NLM Indexing Initiative’s Medical Text Indexer. Medinfo, 11(Pt 1):268–272, 2004.
[8] L. A. Barroso, J. Dean, and U. Holzle. Web search for a planet: The Google cluster architecture. Micro, IEEE, 23(2):22–28, 2003.
[9] H. Bastian, P. Glasziou, and I. Chalmers. Seventy-five trials and eleven systematic reviews a day: How will we ever keep up? PLoS Medicine, 7(9):e1000326, 2010.
[10] B.-C. Bj¨ork and D. Solomon. Open access versus subscription journals: A comparison of scientific impact. BMC Medicine, 10(1):73, 2012. http://www.biomedcentral.com/1741- 7015/10/73
[11] O. Bodenreider. The Unified Medical Language System (UMLS): Integrating biomedical terminology. Nucleic Acids Research, 32(suppl 1):D267–D270, 2004.
[12] S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30(1):107–117, 1998.
[13] J. Broglio, J. Callan, W. Croft, and D. Nachbar. Document retrieval and routing using the Inquery system. In D. Harman, editor, Overview of the Third Text REtrieval Conference (TREC-3), pages 29–38, Gaithersburg, MD, 1994. National Institute of Standards and Technology. [14] C. Buckley. The Smart project at TREC. Voorhees and Harman [2005], 2005.
[15] C. Buckley, G. Salton, and J. Allan. The effect of adding relevance information in a relevance feedback environment. In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 292–300. SpringerVerlag New York, Inc., 1994. [16] C. Buckley, G. Salton, J. Allan, and A. Singhal. Automatic query expansion using SMART: TREC 3. NIST special publication, pages 69–80, 1994.
[17] S. Buttcher, C. L. Clarke, and G. V. Cormack. Domain-specific synonym expansion and validation for biomedical information retrieval (Multitext experiments for TREC 2004). In Proceedings of the 13th Text Retrieval Conference, 2004.
[18] P. Callejas, A. Miguel, Y. Wang, and H. Fang. Exploiting domain thesaurus for medical record retrieval. In The Twenty-First Text REtrieval Conference Proceedings (TREC 2012) [NIST Special Publication: SP 500-298]. National Institute of Standards and TechnologyNIST, 2012. http://trec.nist.gov/pubs/trec21/papers/udel fang.medical.nb.pdf
[19] T. Charen. MEDLARS Indexing Manual. Part 1: Bibliographic Principles and Descriptive Indexing. National Library of Medicine, 1977.
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