Disease Prediction is a clinical decision support system (CDSS) tool that accesses the Diseasomics knowledge graph through API. This CDSS tool is a comprehensive, professional, and open-access tool. It provides abundant symptoms mapping to diseases to improve clinical decision-making and patient safety.
At the center of the diseasomics knowledge graph we have the disease ontology. Along with disease ontology, knowledge from PubMed, and other knowledge sources curated by experts are integrated. Disease prediction uses Digital Health paradigm where human understandable symptoms are converted into ICD10 and SNOMED controlled vocabularies by AI systems for automated documentation. The signs & symptoms entered by the user are translated into vocabularies and presented in three columns, namely, CUI Code, CUI Name, SNOMED/ICD10 Code. CUI is the UMLS Concept Unique Identifier, CUI Name is the description of the CUI, Snomed and ICD10 are the equivalent SNOMED and ICD10 codes for the CUI.
The user enters comma separated symptoms in the "Disease Prediction" text box and presses the "Predict Disease" button. When the "Predict Disease" button is pressed, the decision support system looks at the knowledge graph and provides a differential diagnosis that matches all co-occurring signs and symptoms as mentioned in the text box. The predicted diseases are rendered in the lower part of the screen in the "Predicted Disease" segment of the screen. The predicted diseases are presented in four columns namely, DOID, Disease, Description, and CodeInfo. The DOID field contains the Disease Ontology identifier of a disease. Disease column contains the diseases predicted for the co-occurring signs & symptoms. The Description column contains the description of a disease. Along with the description of the disease, this column contains hyperlinks that provide additional evidence. Users may click any of these hyperlinks to get more detail and further evidence. The CodeInfo field contains the ICD10, SNOMED, UMLS, or NCIT controlled vocabulary codes for a predicted disease.
fever, coughing, loss of smell
(DOID) DOID:0050127, DOID:0080600, DOID:13450, DOID:2050 (Disease) sinusitis, COVID-19, coccidioidomycosis, acute maxillary sinusitis (description)The description of the diseases respectively with the provenance and evidence. (CodeInfo) The disease codes in SNOMED, ICD10, UMLS, and NCIT controlled vocabularies.
For further details, please refer to the journal article
Talukder, A. K, Schriml L, Ghosh A, Biswas R, Chakrabarti P, Haas R. E, Diseasomics: Actionable Machine Interpretable Disease Knowledge at the Point-of-Care, PLOS
Note: This tool works best in latest version of the following browsers in desktop: Google chrome, Mozilla Firefox, Microsoft Edge, Apple Safari
Disclaimer: This Clinical Decision Support System does not provide any Clinical or Medical advice. The results provided by the tool are for information only. No part of the information provided here is considered to be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health care provider.