Large open access database of echocardiogram reports in intensive care unit patients
Abstract The EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM) is a structured echocardiogram database derived from 43,472 observational notes obtained during echocardiogram studies conducted in the intensive care unit at the Beth Israel Deaconess Medical Center between 2001 and 2...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04849-5 |
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| author | Gloria Hyunjung Kwak Dana Moukheiber Mira Moukheiber Lama Moukheiber Sulaiman Moukheiber Neel M. Butala Leo A. Celi Christina W. Chen |
| author_facet | Gloria Hyunjung Kwak Dana Moukheiber Mira Moukheiber Lama Moukheiber Sulaiman Moukheiber Neel M. Butala Leo A. Celi Christina W. Chen |
| author_sort | Gloria Hyunjung Kwak |
| collection | DOAJ |
| description | Abstract The EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM) is a structured echocardiogram database derived from 43,472 observational notes obtained during echocardiogram studies conducted in the intensive care unit at the Beth Israel Deaconess Medical Center between 2001 and 2012. The database encompasses various aspects of cardiac structure and function, including cavity size, wall thickness, systolic and diastolic function, valve regurgitation and stenosis, as well as pulmonary pressures. To facilitate extensive data analysis, the clinical notes were transformed into a structured numerical format. Within each echocardiogram report sentence, specific words or phrases were identified to describe abnormal findings, and a severity staging system using numeric categories was established. This large publicly accessible database of structured echocardiogram data holds significant potential as a tool to investigate cardiovascular disease in the intensive care unit and as a reference point for future note-based structured databases. Moreover, its structured nature allows for easy integration with other data types in MIMIC, such as images or vital signs, enabling large-scale data analysis and further advancements in this field. |
| format | Article |
| id | doaj-art-a748cfaed25d4a6da49ba714582d3950 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-a748cfaed25d4a6da49ba714582d39502025-08-20T03:45:22ZengNature PortfolioScientific Data2052-44632025-07-011211910.1038/s41597-025-04849-5Large open access database of echocardiogram reports in intensive care unit patientsGloria Hyunjung Kwak0Dana Moukheiber1Mira Moukheiber2Lama Moukheiber3Sulaiman Moukheiber4Neel M. Butala5Leo A. Celi6Christina W. Chen7Harvard Medical SchoolMassachusetts Institute of TechnologyMassachusetts Institute of TechnologyMassachusetts Institute of TechnologyWorcester Polytechnic InstituteRocky Mountain Regional VA Medical CenterMassachusetts Institute of TechnologyUniversity of CaliforniaAbstract The EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM) is a structured echocardiogram database derived from 43,472 observational notes obtained during echocardiogram studies conducted in the intensive care unit at the Beth Israel Deaconess Medical Center between 2001 and 2012. The database encompasses various aspects of cardiac structure and function, including cavity size, wall thickness, systolic and diastolic function, valve regurgitation and stenosis, as well as pulmonary pressures. To facilitate extensive data analysis, the clinical notes were transformed into a structured numerical format. Within each echocardiogram report sentence, specific words or phrases were identified to describe abnormal findings, and a severity staging system using numeric categories was established. This large publicly accessible database of structured echocardiogram data holds significant potential as a tool to investigate cardiovascular disease in the intensive care unit and as a reference point for future note-based structured databases. Moreover, its structured nature allows for easy integration with other data types in MIMIC, such as images or vital signs, enabling large-scale data analysis and further advancements in this field.https://doi.org/10.1038/s41597-025-04849-5 |
| spellingShingle | Gloria Hyunjung Kwak Dana Moukheiber Mira Moukheiber Lama Moukheiber Sulaiman Moukheiber Neel M. Butala Leo A. Celi Christina W. Chen Large open access database of echocardiogram reports in intensive care unit patients Scientific Data |
| title | Large open access database of echocardiogram reports in intensive care unit patients |
| title_full | Large open access database of echocardiogram reports in intensive care unit patients |
| title_fullStr | Large open access database of echocardiogram reports in intensive care unit patients |
| title_full_unstemmed | Large open access database of echocardiogram reports in intensive care unit patients |
| title_short | Large open access database of echocardiogram reports in intensive care unit patients |
| title_sort | large open access database of echocardiogram reports in intensive care unit patients |
| url | https://doi.org/10.1038/s41597-025-04849-5 |
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