Page History
Advanced Children Display expandHeaders Hide all
A Digital Twin is a concise, current, and true representation “in silico” of a functioning real-world entity. With origins in industry manufacturing and design, it can be used to assist the assembly of many complex and interacting parts prior to an analysis. In healthcare, the creation of a Digital Twin of a person consists of assembling data from many sources and calculating the assembled result to obtain an accurate representation of an individual. That representation can then be used with the assembles of other persons to run “in silico” studies. The Digital Twin makes possible more accurate population studies based upon real world data (RWD). Performing an extra layer of data reconciliation in the form of producing Digital Twins allows a population study based in Digital Twins to arrive at more accurate conclusions than when using raw data.
...
| SQL Table | Tool | Description |
|---|---|---|
| dt_keser_concept_children | KESER | Stores hierarchical relationships between concepts identified by KESERfor Keser analysis. |
| dt_keser_concept_feature | KESER | Contains features associated with concepts identified by KESERfor Keser analysis. |
| dt_keser_embedding | KESER | Holds Contains embedding vectors for various concepts used in KESER for phenotype analysisKeser. |
| dt_keser_feature | KESERStores features extracted from EHR data for phenotype computation by KESER | Contains feature information used in Keser analysis. |
| dt_keser_feature_cooccur | KESER | Contains data on the co-occurrence data of features within patient records identified by KESER. |
| dt_keser_feature_cooccur_temp | KESER | Temporary table for storing intermediate co-occurrence data during KESER Keser processing. |
| dt_keser_feature_count | KESERHolds counts of various features across the patient cohort identified by KESER | Contains the count of patients per feature. |
| dt_keser_import_concept_feature | KESER | Stores imported concept features associated with concepts for use in KESER phenotype computationfor Keser analysis. |
| dt_keser_patient_partition | KESER | Contains partitions of patients into training and test cohorts for parallel processing of data in KESER. |
| dt_keser_patient_period_feature | KESERFeatures extracted from specific periods of patient records | by KESERContains features for each patient over specific time periods. |
| dt_keser_phenotype | KESER | Contains phenotype definitions identified by KESERKeser. |
| dt_keser_phenotype_feature | KESER | Links features to their corresponding phenotypes in KESERKeser. |
| dt_komap_base_cohort | KOMAP | Base cohort of patients for the KOMAP program. |
| dt_komap_patient_feature | KOMAPFeatures extracted | from patient records for use in the KOMAP programContains features for each patient for KOMAP analysis. |
| dt_komap_phenotype | KOMAP | Phenotype Contains phenotype definitions used in the KOMAP program. |
| dt_komap_phenotype_covar | KOMAP | Covariates Contains covariates used in the phenotype analysis for the KOMAP program. |
| dt_komap_phenotype_covar_inner | KOMAP | Intermediate Contains intermediate covariate data used during KOMAP phenotype analysis. |
| dt_komap_phenotype_feature_coef | KOMAP | Coefficients Contains coefficients for features used in KOMAP phenotype computation. |
| dt_komap_phenotype_feature_dict | KOMAP | Dictionary of features used in KOMAP phenotype analysis. |
| dt_komap_phenotype_gmm | KOMAP | Contains Gaussian Mixture Model results used in KOMAP phenotype clustering. |
| dt_komap_phenotype_gold_standard | KOMAP | Gold Contains gold standard phenotypes used for validating KOMAP computational phenotype models. |
| dt_komap_phenotype_patient | KOMAP | Links patients to their computed phenotypes in KOMAP. |
| dt_komap_phenotype_sample | KOMAP | Sampled Contains sampled patient data for KOMAP phenotype analysis. |
| dt_komap_phenotype_sample_feature | KOMAPFeatures extracted | from sampled patient data for Contains features for each phenotype sample in KOMAP. |
| dt_komap_phenotype_sample_results | KOMAP | Results Contains results of KOMAP phenotype analysis on sampled data. |
| DT_LOYALTY_CHARLSON | LOYALTY | Charlson Comorbidity Index data for loyalty cohort analysis. |
| DT_LOYALTY_PATHS | LOYALTY | Pathways data for determining patient care paths in the Ontology paths associated with features used in loyalty cohort analysis. |
| DT_LOYALTY_PSCOEFF | LOYALTY | Coefficients for propensity loyalty score calculation in the loyalty cohort analysis. |
| DT_LOYALTY_RESULT | LOYALTY | Results of loyalty cohort analysis. |
| DT_LOYALTY_RESULT_CHARLSON | LOYALTY | Results of Charlson Comorbidity Index analysis for the loyalty cohort. |
| DT_LOYALTY_RESULT_SUMMARY | LOYALTY | Summary results of the loyalty cohort analysis. |
...
