Stroke Administrative Severity Index: using administrative data for 30-day poststroke outcomes prediction.

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Stroke Administrative Severity Index: using administrative data for 30-day poststroke outcomes prediction.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

@zh-my

2017年学术文章

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2017年學術文章

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2017年學術文章

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2017年學術文章

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Stroke Administrative Severity ...... oststroke outcomes prediction.

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Stroke Administrative Severity ...... oststroke outcomes prediction.

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Item

label

Stroke Administrative Severity ...... oststroke outcomes prediction.

@en

Stroke Administrative Severity ...... oststroke outcomes prediction.

@nl

prefLabel

Stroke Administrative Severity ...... oststroke outcomes prediction.

@en

Stroke Administrative Severity ...... oststroke outcomes prediction.

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P1476

Stroke Administrative Severity ...... poststroke outcomes prediction

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P2093

Annie N Simpson

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Chih-Ying Li

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Edward C Jauch

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Janina Wilmskoetter

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Jillian Harvey

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Kelly Anderson

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Kit N Simpson

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P2860

Prognostic indices for older adults: a systematic review

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Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association

A Severe Sepsis Mortality Prediction Model and Score for Use With Administrative Data

Developing a stroke severity index based on administrative data was feasible using data mining techniques.

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Comorbidity measures for use with administrative data.

Predicting long-term outcome after acute ischemic stroke: a simple index works in patients from controlled clinical trials.

Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries.

Drivers of costs associated with reperfusion therapy in acute stroke: the Interventional Management of Stroke III Trial.

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293-304

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scholarly article

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10.2217/CER-2017-0058

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P433

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P478

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Ickpyo Hong

Leonardo Bonilha

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2017-10-23T00:00:00Z

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29057660

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6615407

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