Skip to main content

Database Community and Health Related Data: Experiences Through the Last Decade

  • Chapter
  • First Online:
A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years

Part of the book series: Studies in Big Data ((SBD,volume 31))

  • 1950 Accesses

Abstract

Database community has been involved inĀ topics related to improve data-related techniques or to solve data access efficiency. Health domain has been attracting the interest of database community as an application domain for many database research topics, including: (i) health data heterogeneity (e.g., different health bioimages protocols), (ii) data size (e.g., patient health related data), (iii) biomedical signals (e.g., electrocardiography data, ECG), (iv) geographical data (e.g., epidemiological one), and more recently (v) genomic and proteomic data as well as NGS data. In this chapter we present experiences from the last decade, made in a medical school, where we used database experiences to manage and analyse clinical, biological and health related data. The methodology is problem oriented and shows how to start from a problem defined in the medical domain and choose and apply techniques often known by the database community. In this chapter interesting results, in terms of applications to the clinical and medical domains, are reported.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. F. Amato, M. Cannataro, C. Cosentino, A. Garozzo, N. Lombardo, C. Manfredi, F. Montefusco, G. Tradigo, P. Veltri, Early detection of voice diseases via a web-based system. Biomed. Signal Proc. Control 4(3), 206ā€“211 (2009)

    ArticleĀ  Google ScholarĀ 

  2. M. Cannataro, G. Cuda, M. Gaspari, S. Greco, G. Tradigo, P. Veltri, The eipeptidi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments. BMC Bioinform. 8 (2007)

    Google ScholarĀ 

  3. M. Cannataro, D. Talia, G. Tradigo, P. Trunfio, P. Veltri, SIGMCC: a system for sharing meta patient records in a peer-to-peer environment. Future Gener. Comput. Syst. 24(3), 222ā€“234 (2008)

    ArticleĀ  Google ScholarĀ 

  4. F. Cristiano, P. Veltri, M. Prosperi, G. Tradigo, On the identification of long non-coding rnas from RNA-Seq, in 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (IEEE, New York, 2016), pp. 1103ā€“1106

    Google ScholarĀ 

  5. L. Federico, P. Franco, A. Minelli, A. Perri, L. Caroprese, R. Picarelli, G. Tradigo, E. Vocaturo, F. Dattola, A. Fortunato, P. Lambardi, S. Laurita, I. Pellegrino, A. Garro, A. Pugliese, A. Tagarelli, P. Veltri, E. Zumpano, SINSE+: a software for the acquisition and analysis of open data in health and social area, in 24th Italian Symposium on Advanced Database Systems, SEBD 2016, Ugento, Lecce, Italy, June 19-22, 2016, Ugento, Lecce, Italia, June 19ā€“22 (2016), pp. 310ā€“317

    Google ScholarĀ 

  6. J.D. FernĆ”ndez, M. Lenzerini, M. Masseroli, F. Venco, S. Ceri, Ontology-based search of genomic metadata. IEEE/ACM Trans. Comput. Biology Bioinform. 13(2), 233ā€“247 (2016)

    ArticleĀ  Google ScholarĀ 

  7. D.B. Fridsma, Health informatics: our domain, our challenge. J. Am. Med. Inf. Assoc. 23(6), 1202ā€“1202 (2016)

    ArticleĀ  Google ScholarĀ 

  8. S.B. Gabriel, S.F. Schaffner, H. Nguyen, J.M. Moore, J. Roy, B. Blumenstiel, J. Higgins, M. DeFelice, A. Lochner, M. Faggart et al., The structure of haplotype blocks in the human genome. Science 296(5576), 2225ā€“2229 (2002)

    ArticleĀ  Google ScholarĀ 

  9. F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri, A time series approach for clustering mass spectrometry data. J. Comput. Sci. 3(5), 344ā€“355 (2012)

    ArticleĀ  Google ScholarĀ 

  10. L. Hood, S.H. Friend, Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat. Rev. Clin. Oncol. 8(3), 184ā€“187 (2011)

    Google ScholarĀ 

  11. C. Indolfi, M. Cannataro, P. Veltri, G. Tradigo, Cartesio: a software tool for pre-implant stent analyses, in 9th International Conference Computational Science - ICCS 2009, Baton Rouge, LA, USA, May 25ā€“27, 2009, Proceedings, Part I (2009), pp. 810ā€“818

    Google ScholarĀ 

  12. E.S. Lander, L.M. Linton, B. Birren, C. Nusbaum, M.C. Zody, J. Baldwin, K. Devon, K. Dewar, M. Doyle, W. FitzHugh et al., Initial sequencing and analysis of the human genome. Nature 409(6822), 860ā€“921 (2001)

    ArticleĀ  Google ScholarĀ 

  13. H.N. Manners, M. Jha, P.H. Guzzi, P. Veltri, S. Roy, Computational methods for detecting functional modules from gene regulatory network, in Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (ACM, New York, 2016), p. 3

    Google ScholarĀ 

  14. S. Matl, R. Brosig, M. Baust, N. Navab, S. Demirci, Vascular image registration techniques: a living review. Med. Image Anal. 35, 1ā€“17 (2017)

    ArticleĀ  Google ScholarĀ 

  15. P. Mildenberger, M. Eichelberg, E. Martin, Introduction to the dicom standard. Eur. Radiol. 12(4), 920ā€“927 (2002)

    ArticleĀ  Google ScholarĀ 

  16. L. Palopoli, S.E. Rombo, G. Terracina, G. Tradigo, P. Veltri, Improving protein secondary structure predictions by prediction fusion. Inf. Fus. 10(3), 217ā€“232 (2009)

    Google ScholarĀ 

  17. E.F. Petricoin, A.M. Ardekani, B.A. Hitt, P.J. Levine, V.A. Fusaro, S.M. Steinberg, G.B. Mills, C. Simone, D.A. Fishman, E.C. Kohn et al., Use of proteomic patterns in serum to identify ovarian cancer. The lancet 359(9306), 572ā€“577 (2002)

    ArticleĀ  Google ScholarĀ 

  18. G. Pio, D. Malerba, D. Dā€™Elia, M. Ceci, Integrating microrna target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinf. 15(S-1), S4 (2014)

    Google ScholarĀ 

  19. K. Predrag, C. Mirabello, G. Tradigo, I. Walsh, P. Veltri, G. Pollastri, Toward an accurate prediction of inter-residue distances in proteins using 2d recursive neural networks. BMC Bioinf. 15(1), 6 (2014)

    ArticleĀ  Google ScholarĀ 

  20. R. Sachidanandam, D. Weissman, S.C. Schmidt, J.M. Kakol, L.D. Stein, G. Marth, S. Sherry, J.C. Mullikin, B.J. Mortimore, D.L. Willey et al., A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms. Nature 409(6822), 928ā€“933 (2001)

    ArticleĀ  Google ScholarĀ 

  21. G. Tradigo, P. Veltri, S. Greco, Geomedica: managing and querying clinical data distributions on geographical database systems. Procedia Comput. Sci. 1(1), 979ā€“986 (2010)

    ArticleĀ  Google ScholarĀ 

  22. L. Vaira, M.A. Bochicchio, S.B. Navathe, Perspectives in healthcare data management with application to maternal and fetal wellbeing, in 24th Italian Symposium on Advanced Database Systems, SEBD 2016, Ugento, Lecce, Italy, June 19ā€“22, 2016 (2016), pp. 31ā€“40

    Google ScholarĀ 

  23. S. Van de Velde, P. Roshanov, T. Kortteisto, I. Kunnamo, B. Aertgeerts, P.O. Vandvik, S. Flottorp, Tailoring implementation strategies for evidence-based recommendations using computerised clinical decision support systems: protocol for the development of the guides tools. Implement. Sci. 11(1), 1 (2016)

    Google ScholarĀ 

  24. P. Veltri, M. Cannataro, G. Tradigo, Sharing mass spectrometry data in a grid-based distributed proteomics laboratory. Inf. Process. Manag. 43(3), 577ā€“591 (2007)

    ArticleĀ  Google ScholarĀ 

Download references

Acknowledgements

We are grateful to all colleagues working with us during latter decades. Many of them had roles in studying and defining problems and topics that have then been studied and that brings to the development of tools.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pierangelo Veltri .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

Ā© 2018 Springer International Publishing AG

About this chapter

Cite this chapter

Guzzi, P.H., Tradigo, G., Veltri, P. (2018). Database Community and Health Related Data: Experiences Through the Last Decade. In: Flesca, S., Greco, S., Masciari, E., SaccĆ , D. (eds) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-61893-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-61893-7_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61892-0

  • Online ISBN: 978-3-319-61893-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics