| Title |
Grundlagen und Einsatzmöglichkeiten von Natural Language Processing (NLP) in der Radiologie
|
|---|---|
| Published in |
Die Radiologie, July 2018
|
| DOI | 10.1007/s00117-018-0426-0 |
| Pubmed ID | |
| Authors |
F. Jungmann, S. Kuhn, B. Kämpgen |
| Abstract |
Due to the increasing demands in radiology, applications that enable quality assurance and continuous process optimization are required. The principles of Natural Language Processing (NLP) as a computer-based method for structuring of free text reports are explained and application scenarios are sketched. The structuring of free texts succeeds by several theories, linguistic techniques (word meanings, word context, negations), statistical methods with rules and currently with deep learning approaches. Medical encyclopedias, such as RadLex®, are suitable for coding findings. NLP was used in our own radiology clinic to check the quality of 3756 CT reports. In our case study, NLP proved to be a helpful, automated tool for internal quality testing. NLP offers numerous application scenarios for decision support and for quality management in radiology. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| France | 1 | 33% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Other | 3 | 16% |
| Student > Doctoral Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 32% |
| Social Sciences | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 5 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2018.
All research outputs
#16,053,755
of 25,385,509 outputs
Outputs from Die Radiologie
#130
of 327 outputs
Outputs of similar age
#196,823
of 339,622 outputs
Outputs of similar age from Die Radiologie
#2
of 5 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 327 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 58% of its peers.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.