What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Gene
- Database
Dietrich Rebholz-Schuhmann mainly focuses on Information retrieval, Annotation, Text mining, Data science and Controlled vocabulary.
His Information retrieval research incorporates elements of Sentence, Artificial intelligence, Natural language processing and Context.
His research integrates issues of Document Structure Description, Set, Biomedical text mining and Conceptualization in his study of Annotation.
Dietrich Rebholz-Schuhmann combines subjects such as Biological network and Bioinformatics with his study of Data science.
His Bioinformatics research includes elements of Information extraction, Textual information and Complex network.
The various areas that Dietrich Rebholz-Schuhmann examines in his Controlled vocabulary study include Biological database and Thesaurus.
His most cited work include:
- Text processing through Web services (199 citations)
- EBIMed---text crunching to gather facts for proteins from Medline (190 citations)
- Text-mining solutions for biomedical research: enabling integrative biology. (156 citations)
What are the main themes of his work throughout his whole career to date?
Information retrieval, Artificial intelligence, Natural language processing, Data science and Annotation are his primary areas of study.
His studies deal with areas such as Text mining and Identification as well as Information retrieval.
As part of the same scientific family, he usually focuses on Artificial intelligence, concentrating on Domain and intersecting with Biomedicine.
His work is dedicated to discovering how Natural language processing, Named-entity recognition are connected with Conditional random field and other disciplines.
His Data science study frequently intersects with other fields, such as Biomedical text mining.
As a member of one scientific family, Dietrich Rebholz-Schuhmann mostly works in the field of Annotation, focusing on UniProt and, on occasion, RDF.
He most often published in these fields:
- Information retrieval (42.01%)
- Artificial intelligence (31.95%)
- Natural language processing (26.63%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (31.95%)
- Cluster analysis (2.96%)
- Linked data (4.14%)
In recent papers he was focusing on the following fields of study:
Dietrich Rebholz-Schuhmann mostly deals with Artificial intelligence, Cluster analysis, Linked data, Computational biology and Information retrieval.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Gene expression.
The Cluster analysis study combines topics in areas such as Semantics, World Wide Web and Natural language processing.
His study on Computational biology also encompasses disciplines like
- Cancer which connect with Mechanism, Bioinformatics and Precision medicine,
- Graph which intersects with area such as DNA microarray, Biomedicine and Genetic interaction.
Dietrich Rebholz-Schuhmann performs multidisciplinary studies into Information retrieval and Visual interface in his work.
The study incorporates disciplines such as Knowledge extraction and Data science in addition to Server.
Between 2015 and 2021, his most popular works were:
- DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images (36 citations)
- The digital revolution in phenotyping (36 citations)
- DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Gene
- Database
Dietrich Rebholz-Schuhmann spends much of his time researching Pneumonia, Radiography, F1 score, Clinical Practice and X ray image.
Dietrich Rebholz-Schuhmann incorporates a variety of subjects into his writings, including Pneumonia, Coronavirus disease 2019, Radiology, Medical physics, Deep neural networks and Predictive value.
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