patient readmission Latest Research Papers

An Explainable AI powered Early Warning System to address Patient Readmission Risk

10.1109/nbec53282.2021.9618766 ◽

2021 ◽

Author(s):

Tanusree De ◽

AhmedUvesh Mevawala ◽

Ramyasri Nemani

Keyword(s):

Early Warning ◽

Early Warning System ◽

Warning System ◽

Patient Readmission ◽

Explainable Ai ◽

Readmission Risk

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Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution

Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ◽

10.1145/3404835.3463062 ◽

2021 ◽

Author(s):

Qiuhao Lu ◽

Thien Huu Nguyen ◽

Dejing Dou

Keyword(s):

Patient Readmission ◽

Knowledge Graph ◽

Medical Text ◽

Readmission Risk

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Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: A large metropolitan tertiary care center experience

The American Journal of Surgery ◽

10.1016/j.amjsurg.2021.04.011 ◽

2021 ◽

Author(s):

Jorge G. Zarate Rodriguez ◽

Heidy Cos ◽

Gregory A. Williams ◽

Cheryl A. Woolsey ◽

Ryan C. Fields ◽

...

Keyword(s):

Care Center ◽

Tertiary Care ◽

White Patient ◽

Patient Readmission ◽

Outpatient Basis ◽

Tertiary Care Center ◽

Readmission Rates

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Oversampling using Fuzzy Rough Set Theory in Imbalanced Neural based Diabetic patient Readmission Prediction: A hybrid approach

2021 International Conference on Computer Communication and Informatics (ICCCI) ◽

10.1109/iccci50826.2021.9402417 ◽

2021 ◽

Author(s):

Kushankur Ghosh ◽

Arghasree Banerjee ◽

Sankhadeep Chatterjee ◽

Mayukh Bhattacharjee ◽

Arya Sarkar

Keyword(s):

Diabetic Patient ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Hybrid Approach ◽

Patient Readmission ◽

Fuzzy Rough Set

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An Observational Study of the Incidence and Factors Associated with Patient Readmission from Home Based Care Under the Hospital in the Home Program

Internal Medicine Journal ◽

10.1111/imj.15213 ◽

2021 ◽

Author(s):

Andy K.H. Lim ◽

Maneesha L. De Silva ◽

Rene S.H. Wang ◽

Angus J. Nicholson ◽

Benjamin A. Rogers

Keyword(s):

Observational Study ◽

Patient Readmission ◽

Home Program ◽

Factors Associated ◽

Home Based ◽

Home Based Care

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Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: a large metropolitan tertiary care center experience

HPB ◽

10.1016/j.hpb.2021.06.027 ◽

2021 ◽

Vol 23 ◽

pp. S458-S459

Author(s):

J. Zarate Rodriguez ◽

H. Cos ◽

G. Williams ◽

C. Woolsey ◽

R. Fields ◽

...

Keyword(s):

Care Center ◽

Tertiary Care ◽

White Patient ◽

Patient Readmission ◽

Outpatient Basis ◽

Tertiary Care Center ◽

Readmission Rates

Download Full-text

A multi-modal machine learning approach towards predicting patient readmission

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm49941.2020.9313588 ◽

2020 ◽

Author(s):

Somya D. Mohanty ◽

Thomas P. McCoy ◽

Prashanti Manda ◽

Deborah Lekan ◽

Marjorie Jenkins

Keyword(s):

Machine Learning ◽

Patient Readmission ◽

Learning Approach ◽

Machine Learning Approach

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A Review of Factors Influencing Patient Readmission Based on Data Quality Dimension Model

2020 8th International Conference on Information Technology and Multimedia (ICIMU) ◽

10.1109/icimu49871.2020.9243500 ◽

2020 ◽

Author(s):

Nurfarahin Mohmad ◽

Noor Hafizah Hassan ◽

Ganthan Narayana Samy ◽

Nor Shakirah Abd. Aziz ◽

Nurazean Maarop ◽

...

Keyword(s):

Data Quality ◽

Patient Readmission ◽

Factors Influencing ◽

Quality Dimension

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Patient length of stay, patient readmission rates and the provision of professional interpreting services in healthcare in Australia

Health & Social Care in the Community ◽

10.1111/hsc.12989 ◽

2020 ◽

Vol 28 (5) ◽

pp. 1643-1650

Author(s):

Jonathan Beagley ◽

Jim Hlavac ◽

Emiliano Zucchi

Keyword(s):

Length Of Stay ◽

Patient Readmission ◽

Readmission Rates ◽

Professional Interpreting

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Nurses and Physicians perception of Causes and Risk Ractors Contributing Patient Readmission to the Coronary Care Unit

Assiut Scientific Nursing Journal ◽

10.21608/asnj.2020.88455 ◽

2020 ◽

Vol 8 (20.0) ◽

pp. 12-20

Author(s):

Asmaa Hassanien Ahmed ◽

Mogedda Mohamed Mahany ◽

Tarek Abdelhamid Naguib ◽

Ghada Shalaby Khalaf

Keyword(s):

Coronary Care Unit ◽

Patient Readmission ◽

Coronary Care ◽

Nurses And Physicians

Download Full-text

patient readmission
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

An Explainable AI powered Early Warning System to address Patient Readmission Risk

Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution

Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: A large metropolitan tertiary care center experience

Oversampling using Fuzzy Rough Set Theory in Imbalanced Neural based Diabetic patient Readmission Prediction: A hybrid approach

An Observational Study of the Incidence and Factors Associated with Patient Readmission from Home Based Care Under the Hospital in the Home Program

Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: a large metropolitan tertiary care center experience

A multi-modal machine learning approach towards predicting patient readmission

A Review of Factors Influencing Patient Readmission Based on Data Quality Dimension Model

Patient length of stay, patient readmission rates and the provision of professional interpreting services in healthcare in Australia

Nurses and Physicians perception of Causes and Risk Ractors Contributing Patient Readmission to the Coronary Care Unit

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patient readmissionRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

An Explainable AI powered Early Warning System to address Patient Readmission Risk

Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution

Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: A large metropolitan tertiary care center experience

Oversampling using Fuzzy Rough Set Theory in Imbalanced Neural based Diabetic patient Readmission Prediction: A hybrid approach

An Observational Study of the Incidence and Factors Associated with Patient Readmission from Home Based Care Under the Hospital in the Home Program

Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: a large metropolitan tertiary care center experience

A multi-modal machine learning approach towards predicting patient readmission

A Review of Factors Influencing Patient Readmission Based on Data Quality Dimension Model

Patient length of stay, patient readmission rates and the provision of professional interpreting services in healthcare in Australia

Nurses and Physicians perception of Causes and Risk Ractors Contributing Patient Readmission to the Coronary Care Unit

patient readmission
Recently Published Documents