AIMC Topic: Hospitalization

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Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach.

Journal of burn care & research : official publication of the American Burn Association Aug 17, 2018
The intrinsic relationship between fluid volume and open wound size (%) has not been previously examined. Therefore, we conducted this study to investigate whether open wound size can be predicted from fluid volume plus other significant factors over...
Reproducibility of Results Hospitalization Adult Male Humans Machine Learning Retrospective Studies Female Fluid Therapy Burns Multivariate Analysis Crystalloid Solutions Middle Aged Age Factors Wound Healing Predictive Value of Tests
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[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Jun 20, 2018
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learning method and logistic regression model. The clinical data of 157 severely burned patients in Augu...
Humans Sensitivity and Specificity Fluid Therapy Machine Learning Burns Sepsis Acute Kidney Injury Organ Dysfunction Scores ROC Curve Hospitalization Explosions Logistic Models
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On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Studies in health technology and informatics Jan 1, 2018
Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data, hence having an opportunity to derive knowledge and associations of different attributes recorded. Many health care events can be prevented when iden...
Machine Learning Prognosis Hospitalization Delirium Humans Documentation Hospital Information Systems
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Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods.

Studies in health technology and informatics Jan 1, 2018
Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for hospitalizations and the most frequent diagnosis for 30-day readmissions. If risk stratification for readmission of HF patients could be carried out ...
Forecasting Hospitalization Risk Assessment United States Humans Machine Learning Patient Discharge Heart Failure Patient Readmission
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Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning.

Inflammatory bowel diseases Dec 19, 2017
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable episodes of flares and periods of remission. Tools that accurately predict disease course would substantially aid therapeutic decision-making. This study...
Hospitalization Immunosuppressive Agents Humans Male Inflammatory Bowel Diseases Area Under Curve Machine Learning Middle Aged Retrospective Studies Adrenal Cortex Hormones Female Outpatients Risk Factors
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Machine Learning for Predicting Outcomes in Trauma.

Shock (Augusta, Ga.) Nov 1, 2017
To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequently, it remains unclear as to how ML-based prediction models compare in the triage and assessment of trauma patients. The objective of this review was ...
Brain Injuries, Traumatic Wounds and Injuries Humans Machine Learning Algorithms Prospective Studies Hospitalization
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Unintended Consequences of Machine Learning in Medicine.

JAMA Aug 8, 2017
Decision Support Systems, Clinical Pneumonia Expert Systems Physicians Hospitalization Asthma Clinical Competence Humans Machine Learning Algorithms
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Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines.

Journal of Crohn's & colitis Jul 1, 2017
BACKGROUND AND AIMS: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods u...
Humans Machine Learning Algorithms Inflammatory Bowel Diseases Retrospective Studies Female ROC Curve Treatment Outcome Male Hospitalization Immunosuppressive Agents Middle Aged Young Adult Area Under Curve Remission Induction Adolescent Adult Drug Prescriptions Medication Adherence Azathioprine Mercaptopurine
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Community-Acquired Pneumonia Case Validation in an Anonymized Electronic Medical Record-Linked Expert System.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America May 15, 2017
An electronic anonymized patient portal analysis using radiographic reports and admission and discharge diagnoses had sensitivity, specificity, positive predictive value, and negative predictive value of 84.7%, 78.2%, 75%, and 87%, respectively, for ...
Community-Acquired Infections Female Patient Portals Hospitalization Predictive Value of Tests Sensitivity and Specificity Young Adult Data Anonymization Male Adult Expert Systems Humans Pneumonia Radiography, Thoracic Algorithms Anti-Bacterial Agents Electronic Health Records
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Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.

Studies in health technology and informatics Jan 1, 2017
Obstetric care refers to the care provided to patients during ante-, intra-, and postpartum periods. Predicting length of stay (LOS) for these patients during their hospitalizations can assist healthcare organizations in allocating hospital resources...
Humans Hospitalization Quality of Health Care Electronic Health Records Obstetrics Clinical Coding Female Health Resources Length of Stay
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