In exemplary embodiments, disease label detection in textual reports uses a vocabulary of disease terms assembled from standards such as SNOMED CT and ICD9. To spot the occurrence of the disease phrase within natural language sentences in reports, a string matching algorithm referred to herein as t...
We envision this as a first step towards the more ambitious goal of creating the basis for a truly interdisciplinary methodology for scholarly work that breaks the barriers between “developers” and “users” of tools, and that welcomes equally the contributions of interactive systems designers, cor...
In the past decade, there has been a growing interest in using observational data for clinical decision-making and causal inference in oncology2. However, such studies are often unreliable, and many observational studies have been refuted by RCTs soon after2,4. For example, Yeh et al.5perfor...
Clean source data: filter out rows to be not used, format values, apply some business rules. This step results in creating "clean" intermediate tables with prefix "lk_" and suffix "clean". Map distinct source codes to concepts in vocabulary tables. The step results in creating intermediate ...