Medical knowledge extraction from big data

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Bibliographic Information

Title
"Medical knowledge extraction from big data"
Statement of Responsibility
Constantinos M. Koutsojannis, editor
Publisher
  • Nova science publishers
Publication Year
  • c2020
Book size
23 cm

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Notes

Includes bibliographical references and index

Summary: "Data mining refers to the activity of going through big data sets to look for relevant information. As human health care data are the most difficult of all data to collect and their primary direction is the treatment of patients, and secondarily dealing with research, almost the only vindication for collecting medical data is to benefit the disease. All data miners should take into account that Medical Knowledge Extraction is internally connected with the Evidence-Based Medical approach because it uses data for already treated or not patients and there are times that opposites to Guideline Based medical practice. Additonally all researchers should be aware when are dealing with medical databases they may face the possibility that their work will never be accepted or even used from health care professionals if all these obligations will not be correctly addressed from the early beginning. In the present book, one can find after the three introductory chapters, a number of successfully evaluated appli

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