Text Mining of Medical Records for Radiodiagnostic Decision-Making

@article{Claster2008TextMO,
  title={Text Mining of Medical Records for Radiodiagnostic Decision-Making},
  author={William Claster and Subana Shanmuganathan and Nader Ghotbi},
  journal={J. Comput.},
  year={2008},
  volume={3},
  pages={1-6}
}
The rapid growth of digitalized medical records presents new opportunities for mining terra bytes of data that may provide new information & knowledge. [] Key Method We employed Self Organizing Maps (SOM), an unsupervised neural network based text-mining technique for the analysis. This approach led to the identification of keywords with a significance value within the narratives of the medical records that could predict & thereby lower the number of unnecessary CT requests by clinicians. This is important…
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References

SHOWING 1-10 OF 10 REFERENCES

The clinician's perspective on electronic health records and how they can affect patient care

Important lessons learned from previous attempts to get clinicians to use computers in health care are examined; how clinicians actually work are discussed; recommendations on designing or selecting clinical computer systems are made; and how the use of electronic health records might affect patient care is explored.

Risk of cancer from diagnostic X-rays: estimates for the UK and 14 other countries

Doctors' knowledge of radiation exposure: questionnaire study

The level of knowledge doctors have concerning radiation doses received by patients when they undergo commonly requested radiological investigations is investigated.

Evidence-based Guidelines Needed on the Use of CT Scanning in Japan

More work is needed to establish good practice principles by the medical community through determination of more reasonable indications to request CT scanning, to help limit and control the amount of radiation doses the Japanese population is being exposed to through medical diagnostic imaging technologies.

Computed tomography and radiation risks: what pediatric health care providers should know.

The issues with CT patterns of use and radiation risk are summarized, dose reduction strategies pertinent to pediatric health care providers are provided, and a variety of strategies to limit radiation dose are offered.

Pediatric CT scan usage in Japan: results of a hospital survey

PurposeThe aim of this study was to examine the usage parameters of diagnostic computed tomography (CT) in children because of concerns of possible overuse in Japanese hospitals, including the…

Estimated risks of radiation-induced fatal cancer from pediatric CT.

It is suggested that pediatric CT will result in significantly increased lifetime radiation risk over adult CT, both because of the increased dose per milliampere-second, and the increased lifetime risk per unit dose.

Risk and benefit in paediatric radiology

  • D. Roebuck
  • Medicine, Physics
    Pediatric Radiology
  • 1999
Abstract An investigation requiring the use of ionising radiation can be justified by showing that its benefits are likely to exceed its risks. The risks can be estimated from the effective dose by…

Radiation exposures to patients from CT: reality, public perception, and policy.

Figure 4 Tabbed version of C5.0 decision tree .1 indicates the predication of a necessary scan and 2 indicates the prediction of an unnecessary scan

  • Figure 4 Tabbed version of C5.0 decision tree .1 indicates the predication of a necessary scan and 2 indicates the prediction of an unnecessary scan