Fig. 4 | npj Digital Medicine

Fig. 4

From: Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery

Fig. 4

Analysis of UNC asthma dataset on asthma- and asthma-like patients. a Age and sex distribution of patients. b Categories of information extracted from the EHR data. Cyan, used for current research; white, not used for current research. MDCTN medication, LOINC LOINC-coded laboratory tests, VITAL vital signs, ICD 9 ICD 9-coded diagnosis, ICD 10 ICD 10-coded diagnosis, VISITS patient visit records, DEPT clinic location, PRNT_LOC hospital location, CPT CPT-coded procedures, SOC_HIST social history, PATIENTS patient identification records, PROVIDER provider information. c Percentage of laboratory tests in our dataset that could be converted into HPO terms (the remaining unmapped tests did not have LOINC to HPO annotations). d Number of LOINC terms mapped to a given HPO term in the UNC dataset. e Distribution of patients by the number of unique HPO terms that are mapped to each patient

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