AIMC Topic: Patient Readmission

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Machine Learning Comes of Age: Local Impact versus National Generalizability.

Anesthesiology May 1, 2020
Machine Learning Data Analysis Algorithms Forecasting Humans Patient Readmission
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Machine Learning Prediction of Postoperative Emergency Department Hospital Readmission.

Anesthesiology May 1, 2020
BACKGROUND: Although prediction of hospital readmissions has been studied in medical patients, it has received relatively little attention in surgical patient populations. Published predictors require information only available at the moment of disch...
Hospitalization Emergency Service, Hospital Patient Discharge Patient Readmission Humans Machine Learning
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Leveraging Electronic Health Records and Machine Learning to Tailor Nursing Care for Patients at High Risk for Readmissions.

Journal of nursing care quality Jan 1, 2020
BACKGROUND: Electronic health record-derived data and novel analytics, such as machine learning, offer promising approaches to identify high-risk patients and inform nursing practice.
Electronic Health Records Female Patient Readmission Risk Factors Machine Learning Nursing Care Aged Middle Aged Data Analysis Humans Risk Management Male Retrospective Studies
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Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Natural language processing (NLP) engines such as the clinical Text Analysis and Knowledge Extraction System are a solution for processing notes for research, but optimizing their performance for a clinical data warehouse remains a challen...
Electronic Health Records Natural Language Processing Data Mining Patient Readmission Humans Machine Learning Unified Medical Language System Vocabulary, Controlled
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Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The objective of this study was to design and develop a 30-day risk of hospital readmission predictive model using machine learning techniques. The proposed risk of readmission predictive model was then validated with the two most commonly used risk ...
Patient Discharge Patient Readmission Length of Stay Logistic Models Emergency Service, Hospital Humans Retrospective Studies Machine Learning Risk Factors Comorbidity
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Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.

Journal of psychiatric practice Jul 1, 2019
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD) also met criteria for the other diagnosis. Yet limited data are available concerning the potential...
Models, Statistical Inpatients Patient Readmission Affect Length of Stay Personality Bipolar Disorder Borderline Personality Disorder Humans Adult Male Machine Learning Female
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Same-Day Conventional Different-Day Endoscopic Retrograde Cholangiopancreatography and Laparoscopic Cholecystectomy: A Multi-Center Retrospective Study.

The American surgeon Oct 1, 2018
Same-day endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy (LC) could potentially reduce hospital length of stay (HLOS). Patients undergoing same-day procedures (N = 164) between 2012 and 2014 were compared with different-day ...
Postoperative Complications California Humans Female Ambulatory Surgical Procedures Cholangiopancreatography, Endoscopic Retrograde Length of Stay Male Choledocholithiasis Patient Safety Cholecystectomy, Laparoscopic Treatment Outcome Middle Aged Retrospective Studies Blood Loss, Surgical Patient Readmission
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Machine Learning Retrospective Studies Humans Time Factors ROC Curve Follow-Up Studies Female Critical Illness Patient Readmission Middle Aged Intensive Care Units Illinois Risk Assessment Male Electronic Health Records
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Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

JAMA surgery Feb 1, 2018
This study compares several machine learning models for prediction of reinjury after penetrating trauma.
Patient Readmission Suicide Self-Injurious Behavior United States Recurrence Wounds, Penetrating Humans Models, Theoretical Forecasting Machine Learning Mental Disorders Databases, Factual
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Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Studies in health technology and informatics Jan 1, 2018
Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower the readmission rates, machine learning approaches can be used to create predictive models, with the intention to provide actionable information for c...
Humans Machine Learning Forecasting Prognosis Germany Hospitals Diagnosis-Related Groups ROC Curve Patient Readmission
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