AIMC Topic: Hospitalization

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Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients.

Nutrients Dec 17, 2021
Malnutrition is common, especially among older, hospitalised patients, and is associated with higher mortality, longer hospitalisation stays, infections, and loss of muscle mass. It is therefore of utmost importance to employ a proper method for diet...
Malnutrition Eating Feeding Behavior Energy Intake Image Processing, Computer-Assisted Inpatients Meals Humans Artificial Intelligence Hospitalization Aged Nutrition Assessment Diet
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Machine learning for classification of postoperative patient status using standardized medical data.

Computer methods and programs in biomedicine Dec 12, 2021
BACKGROUND AND OBJECTIVE: Real-world evidence is defined as clinical evidence regarding the use and potential benefits or risks of a medical product derived from real-world data analyses. Standardization and structuring of data are necessary to analy...
Electronic Health Records Risk Factors Hospitalization Postoperative Period Humans Machine Learning
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Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19.

Scientific reports Nov 26, 2021
A key task of emergency departments is to promptly identify patients who require hospital admission. Early identification ensures patient safety and aids organisational planning. Supervised machine learning algorithms can use data describing historic...
Emergency Service, Hospital Humans Patient Admission Machine Learning COVID-19 Pandemics SARS-CoV-2 Male Algorithms Hospitalization Middle Aged Female
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Analysis of Influencing Factors on Hospitalization Expenses of Patients with Breast Malignant Tumor Undergoing Surgery: Based on the Neural Network and Support Vector Machine.

Journal of healthcare engineering Nov 24, 2021
OBJECTIVE: Analyze the influencing factors of hospitalization expenses of breast cancer patients in a tertiary hospital in Chengdu and provide a basis and suggestion for controlling the unreasonable increase of medical expenses.
Inpatients Hospitalization Humans Breast Neoplasms Neural Networks, Computer Support Vector Machine Female
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A Comparison of Models Predicting One-Year Mortality at Time of Admission.

Journal of pain and symptom management Nov 23, 2021
CONTEXT: Hospitalization provides an opportunity to address end-of-life care (EoLC) preferences if patients at risk of death can be accurately identified while in the hospital. The modified Hospital One-Year Mortality Risk (mHOMR) uses demographic an...
Hospital Mortality ROC Curve Logistic Models Machine Learning Retrospective Studies Hospitalization Humans
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Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.

PloS one Nov 23, 2021
BACKGROUND: Delays in patient flow and a shortage of hospital beds are commonplace in hospitals during periods of increased infection incidence, such as seasonal influenza and the COVID-19 pandemic. The objective of this study was to develop and eval...
Humans Patient Care Machine Learning Patient Discharge Hospital Administration COVID-19 SARS-CoV-2 Hospitalization
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The new SUMPOT to predict postoperative complications using an Artificial Neural Network.

Scientific reports Nov 22, 2021
An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. This study aims at implementing an automated surgical risk calculator based on Artificial Neural Netw...
Machine Learning Elective Surgical Procedures Middle Aged Prognosis Emergency Treatment Risk Assessment Humans Postoperative Complications Neural Networks, Computer Predictive Value of Tests Area Under Curve Cohort Studies ROC Curve Retrospective Studies Intensive Care Units Female Risk Factors Hospitalization Male
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Research on Rehabilitation Effect Prediction for Patients with SCI Based on Machine Learning.

World neurosurgery Nov 15, 2021
OBJECTIVE: Because of the complex condition of patients with spinal cord injury (SCI), it is difficult to accurately calculate the activity of daily living (ADL) score of discharged patients. In view of the above problem, this research proposes a pre...
Activities of Daily Living Spinal Cord Injuries Machine Learning Hospitalization Patient Discharge Humans
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Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments.

Scientific reports Nov 2, 2021
Short-term reattendances to emergency departments are a key quality of care indicator. Identifying patients at increased risk of early reattendance could help reduce the number of missed critical illnesses and could reduce avoidable utilization of em...
Hospitalization Aged Young Adult Electronic Health Records Female Risk Factors Adolescent Triage Emergency Service, Hospital Aftercare Adult Male Middle Aged Humans Retrospective Studies Critical Illness Machine Learning Algorithms Patient Discharge Patient Readmission
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Machine learning techniques for mortality prediction in emergency departments: a systematic review.

BMJ open Nov 2, 2021
OBJECTIVES: This systematic review aimed to assess the performance and clinical feasibility of machine learning (ML) algorithms in prediction of in-hospital mortality for medical patients using vital signs at emergency departments (EDs).
Emergency Service, Hospital Machine Learning Hospitalization Logistic Models Humans
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