Implementation of machine learning algorithms to create diabetic patient re-admission profiles

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1472-6947

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Implementation of machine learning algorithms to create diabetic patient re-admission profiles ; volume:19 ; number:9 ; day:12 ; month:12 ; year:2019 ; pages:1-16 ; date:12.2019
BMC medical informatics and decision making ; 19, Heft 9 (12.12.2019), 1-16, 12.2019

Creator: Alloghani, Mohamed
Aljaaf, Ahmed
Hussain, Abir
Baker, Thar
Mustafina, Jamila
Al-Jumeily, Dhiya
Khalaf, Mohammed

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12911-019-0990-x

URN: urn:nbn:de:101:1-2020040520444502303292

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.02.2029, 8:13 AM CET

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Alloghani, Mohamed
Aljaaf, Ahmed
Hussain, Abir
Baker, Thar
Mustafina, Jamila
Al-Jumeily, Dhiya
Khalaf, Mohammed
SpringerLink (Online service)

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Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

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Predictive modeling for COVID-19 readmission risk using machine learning algorithms

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Karya: create

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Implementation of machine learning algorithms to create diabetic patient re-admission profiles

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Other Objects (12)

Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

Factors associated with re-admission in the year after acute postpartum psychiatric treatment

Variation in rates of self-harm hospital admission and re-admission by ethnicity in London: a population cohort study

Variation in rates of self-harm hospital admission and re-admission by ethnicity in London: a population cohort study

Predictive modeling for COVID-19 readmission risk using machine learning algorithms

Index admission cholecystectomy for acute cholecystitis reduces 30-day readmission rates in pediatric patients

Using diffusion models to create training data for image classification algorithms

Novel artificial intelligence algorithms for diabetic retinopathy and diabetic macular edema

Index admission cholecystectomy for biliary acute pancreatitis or choledocholithiasis reduces 30-day readmission rates in children

Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients

Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms

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Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

Factors associated with re-admission in the year after acute postpartum psychiatric treatment

Variation in rates of self-harm hospital admission and re-admission by ethnicity in London: a population cohort study

Variation in rates of self-harm hospital admission and re-admission by ethnicity in London: a population cohort study

Predictive modeling for COVID-19 readmission risk using machine learning algorithms

Index admission cholecystectomy for acute cholecystitis reduces 30-day readmission rates in pediatric patients

Using diffusion models to create training data for image classification algorithms

Novel artificial intelligence algorithms for diabetic retinopathy and diabetic macular edema

Index admission cholecystectomy for biliary acute pancreatitis or choledocholithiasis reduces 30-day readmission rates in children

Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients

Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms

Karya: create

Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

Factors associated with re-admission in the year after acute postpartum psychiatric treatment

Variation in rates of self-harm hospital admission and re-admission by ethnicity in London: a population cohort study

Variation in rates of self-harm hospital admission and re-admission by ethnicity in London: a population cohort study

Predictive modeling for COVID-19 readmission risk using machine learning algorithms

Index admission cholecystectomy for acute cholecystitis reduces 30-day readmission rates in pediatric patients

Using diffusion models to create training data for image classification algorithms

Novel artificial intelligence algorithms for diabetic retinopathy and diabetic macular edema

Index admission cholecystectomy for biliary acute pancreatitis or choledocholithiasis reduces 30-day readmission rates in children

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Karya: create

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