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Merge pull request #73 from UCL-CORU/prepare-for-JOSS
Run notebooks with public data v 1.1.1
2 parents b371687 + e426e4c commit e2a556e

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‎data-dictionaries/ed_visits_data_dictionary.csv‎

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‎data-dictionaries/ed_visits_data_dictionary.md‎

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‎data-dictionaries/inpatient_arrivals_data_dictionary.csv‎

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Column Name,Data Type,Description,Additional Details
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training_validation_test,object,"Whether visit snapshot is assigned to training, validation or test set","Frequencies: {test: 3,701, train: 7,730, valid: 1,244}"
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arrival_datetime,"datetime64[ns, UTC]",arrival_datetime,Date Range: 2031-03-01 00:03 - 2031-12-31 23:32
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sex,object,Sex of patient,"Frequencies: {F: 6,389, M: 6,286}"
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specialty,object,specialty,"Frequencies: {haem/onc: 1,340, medical: 6,932, nan: 217, paediatric: 1,091, surgical: 3,095}"
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is_child,bool,Is under age of 18 on day of arrival,"Frequencies: {False: 11,314, True: 1,361}"
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arrival_datetime,"datetime64[ns, Europe/London]",arrival_datetime,Date Range: 2031-01-01 00:22 - 2031-12-31 23:32
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specialty,object,specialty,"Frequencies: {haem/onc: 1,724, medical: 8,504, paediatric: 1,484, surgical: 3,833}"
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sex,object,Sex of patient,"Frequencies: {F: 7,816, M: 7,729}"
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is_child,object,Is under age of 18 on day of arrival,"Frequencies: {False: 13,932, True: 1,613}"

‎data-dictionaries/inpatient_arrivals_data_dictionary.md‎

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| Column Name | Data Type | Description | Additional Details |
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| :----------------------- | :------------------ | :--------------------------------------------------------------------- | :------------------------------------------------------------------------------------------- |
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| training_validation_test | object | Whether visit snapshot is assigned to training, validation or test set | Frequencies: {test: 3,701, train: 7,730, valid: 1,244} |
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| arrival_datetime | datetime64[ns, UTC] | arrival_datetime | Date Range: 2031-03-01 00:03 - 2031-12-31 23:32 |
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| sex | object | Sex of patient | Frequencies: {F: 6,389, M: 6,286} |
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| specialty | object | specialty | Frequencies: {haem/onc: 1,340, medical: 6,932, nan: 217, paediatric: 1,091, surgical: 3,095} |
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| is_child | bool | Is under age of 18 on day of arrival | Frequencies: {False: 11,314, True: 1,361} |
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| Column Name | Data Type | Description | Additional Details |
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| :--------------- | :---------------------------- | :----------------------------------- | :--------------------------------------------------------------------------------- |
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| arrival_datetime | datetime64[ns, Europe/London] | arrival_datetime | Date Range: 2031-01-01 00:22 - 2031-12-31 23:32 |
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| specialty | object | specialty | Frequencies: {haem/onc: 1,724, medical: 8,504, paediatric: 1,484, surgical: 3,833} |
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| sex | object | Sex of patient | Frequencies: {F: 7,816, M: 7,729} |
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| is_child | object | Is under age of 18 on day of arrival | Frequencies: {False: 13,932, True: 1,613} |

‎data-synthetic/ed_visits.csv‎

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‎data-synthetic/ed_visits_minimal.csv‎

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