Abstract. TNM is a classification system for assessment of progression stage of malignant tumors. The physician, upon patient examination, classifies a tumor using three variables: T, N and M. Definitions of values for T, N and M depend on the tumor topography (or body part), specified as ICD-O codes. These values are then used to infer the Clinical Stage (CS) and reflect the disease progression, which can be 0 (no malignant tumor), IS (in situ), I, II, III, or IV. The rules for inference are different for each topography and may depend on other factors such as age. With the objective of evaluating missing CS information on A. C. Camargo Cancer Center databases, we developed an open ontology to represent TNM concepts and rules for CS infere...
Thesis (Ph.D.)--University of Washington, 2016-06Medical practice involves an astonishing amount of ...
The National Cancer Institute’s Thesaurus (NCIT) has been created with the goal of providing a contr...
The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal ...
Information about cancer stage in a patient is crucial when clinicians assess treatment progress. De...
There are a number of existing classifications and staging schemes for carcinomas, one of ...
Cancer registration is an important process that can help detection and treatment of future patients...
A universal and consistent stage classification system, which describes the anatomic extent of a can...
A universal and consistent stage classification system, which describes the anatomic extent of a can...
Traditional cancer classifications are primarily based on anatomical locations. As knowledge is heav...
International audienceDecision support is a probabilistic and quantitative method designed for model...
AbstractWe introduce an extensible and modifiable knowledge representation model to represent cancer...
Objective: To automatically generate structured reports for cancer, including TNM (Tumour-Node-Metas...
The staging of tumors according to the 'TNM' system was developed by P Denoix between 1943 and 1952....
Stage classification is an important underpinning of management of patients with cancer, and rests o...
Cancer staging provides a basis for planning clinical management, but also allows for meaningful ana...
Thesis (Ph.D.)--University of Washington, 2016-06Medical practice involves an astonishing amount of ...
The National Cancer Institute’s Thesaurus (NCIT) has been created with the goal of providing a contr...
The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal ...
Information about cancer stage in a patient is crucial when clinicians assess treatment progress. De...
There are a number of existing classifications and staging schemes for carcinomas, one of ...
Cancer registration is an important process that can help detection and treatment of future patients...
A universal and consistent stage classification system, which describes the anatomic extent of a can...
A universal and consistent stage classification system, which describes the anatomic extent of a can...
Traditional cancer classifications are primarily based on anatomical locations. As knowledge is heav...
International audienceDecision support is a probabilistic and quantitative method designed for model...
AbstractWe introduce an extensible and modifiable knowledge representation model to represent cancer...
Objective: To automatically generate structured reports for cancer, including TNM (Tumour-Node-Metas...
The staging of tumors according to the 'TNM' system was developed by P Denoix between 1943 and 1952....
Stage classification is an important underpinning of management of patients with cancer, and rests o...
Cancer staging provides a basis for planning clinical management, but also allows for meaningful ana...
Thesis (Ph.D.)--University of Washington, 2016-06Medical practice involves an astonishing amount of ...
The National Cancer Institute’s Thesaurus (NCIT) has been created with the goal of providing a contr...
The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal ...