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19 results

  1. ... patients to use. Mapping Between SNOMED CT and ICD Codes International Classification of Diseases (ICD) codes are required for public health reporting of population ...
  2. ... 318.740.237 Biostatistics E05.318.740.250 Cluster Analysis E05.318.740.250.338 Latent Class Analysis ... Analysis E05.318.740.250.700 Space-Time Clustering E05.318.740.275 Confidence Intervals E05.318. ...
  3. ... than enabled by the International Classification of Diseases (ICD) codes (which were primarily developed and used for statistical ... of Medicine Fellowships Beard, Rachel Integrating Bioinformatics and Clustering Analysis for Disease Surveillance 1 F31 LM012176-01A1 ...
  4. ... A web-based tool was made available for clustering chemical structures based on structure 2D similarity. Its ... performance of NLM mission critical systems through database clustering technology. It also increases the NLM mission critical ...
  5. ... gene profiles and datasets have been developed. Multiple clustering methods are available as well as links to ... Fontaine will perform research on algorithms for efficient clustering of compounds by chemical similarity and activity profile. ...
  6. ... Investigator) 1-R03-LM009754-01A1 YALE UNIVERSITY Effective Clustering Penalized Methods for Genomic Biomarker Selection QUACKENBUSH, JOHN ... Dr. Taft developed a data dictionary to map ICD-9 codes to clinical diagnosis and protocols for data capture ...
  7. ... 81. (R01 LM 04680). Pao ML, A prototype clustering program. In: Pro- ceedings of the 9th National ... 86-92. (R01 LM 04493). Wu TD. Symptom clustering and syndromic knowl- edge in diagnostic problem solving. ...
  8. ... accumulates aggregate statistics to help in developing 40 clustering and ranking tools. The client program is responsible ... night. It also provides the basic storage for clustering of servers to provide high availability of services. ...
  9. ... and accumulates aggregate statistics to help in developing clustering and ranking tools. The client program is responsible ... gene profiles and datasets have been developed. Multiple clustering methods are available and link to other resources ...
  10. ... unmet needs for inferential abilities. All previous unsupervised clustering methods were limited to handling a few thousand ... rapidly, project staff developed a novel way of clustering very large numbers of protein sequences efficiently. Other ...
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