Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3986
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dc.contributor.authorReddy, Banda Sai Jashwanth-
dc.contributor.authorAre, Ramakrishna Prasad-
dc.contributor.authorPuneet, .-
dc.contributor.authorBabu, Anju R-
dc.date.accessioned2023-03-23T09:58:51Z-
dc.date.available2023-03-23T09:58:51Z-
dc.date.issued2023-02-
dc.identifier.citationIndian Conference on MedTech Innovations (ICMI), IIT Jodhpur, India, 24-26 February 2023en_US
dc.identifier.urihttp://hdl.handle.net/2080/3986-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractCirculatory and respiratory diseases are the leading cause of death. Recent studies suggest that respiratory diseases can increase the risk of cardiovascular disease, yet the reason is unknown. In this study, an artificial neural network model is built to predict the possibility of death due to cardiovascular disease with given respiratory conditions. Data shows that cardiovascular disease was an underlying cause for approximately 16.8 percent of the patients suffering from respiratory diseases. Chronic lower respiratory disease has the highest number of deaths, with 72,125 cases. Further studies are needed to find the exact symptoms causing death due to an underlying cause of cardiovascular diseases with respiratory diseases as one of its multiple conditionsen_US
dc.description.sponsorshipArtificial neural networks;en_US
dc.subjectArtificial neural networksen_US
dc.subjectMachine learningen_US
dc.subjectMortalityen_US
dc.titleIdentification of Cardiovascular Mortality Risk in Patients with Respiratory Diseaseen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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