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Hospitalization

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Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The increasing availability of electronic health records and administrative data and the adoption of computer-based technologies in healthcare have significantly focused on medical informatics. Sepsis is a time-critical condition with high mortality,...
Machine Learning Electronic Health Records Hospitalization Sepsis Early Diagnosis Humans
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Predictive Risk Models for Wound Infection-Related Hospitalization or ED Visits in Home Health Care Using Machine-Learning Algorithms.

Advances in skin & wound care Aug 1, 2021
OBJECTIVE: Wound infection is prevalent in home healthcare (HHC) and often leads to hospitalizations. However, none of the previous studies of wounds in HHC have used data from clinical notes. Therefore, the authors created a more accurate descriptio...
Aged Male Middle Aged Risk Assessment Logistic Models Retrospective Studies Female Risk Factors Hospitalization Emergency Service, Hospital Wound Infection Home Care Services Humans Machine Learning Algorithms Forecasting
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An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study.

Medicine Jul 16, 2021
BACKGROUND:: In a pandemic situation (e.g., COVID-19), the most important issue is to select patients at risk of high mortality at an early stage and to provide appropriate treatments. However, a few studies applied the model to predict in-hospital m...
SARS-CoV-2 Hospitalization Biomarkers Predictive Value of Tests Male Prognosis China Republic of Korea Female Humans Neural Networks, Computer COVID-19
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Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: The spread of coronavirus disease 2019 (COVID-19) has led to severe strain on hospital capacity in many countries. We aim to develop a model helping planners assess expected COVID-19 hospital resource utilization based on individual patien...
COVID-19 Prognosis Female Hospitalization Aged Humans Machine Learning Hospitals Length of Stay Models, Statistical Registries Israel Aged, 80 and over Adult Male Middle Aged Proportional Hazards Models
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Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.

Studies in health technology and informatics May 7, 2021
BACKGROUND: Patients with major adverse cardiovascular events (MACE) such as myocardial infarction or stroke suffer from frequent hospitalizations and have high mortality rates. By identifying patients at risk at an early stage, MACE can be prevented...
Risk Assessment Myocardial Infarction Humans Machine Learning Prospective Studies Electronic Health Records Hospitalization
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Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
Aged, 80 and over Male Middle Aged Risk Assessment ROC Curve Logistic Models Pressure Ulcer Nursing Research Female Risk Factors Hospitalization Aged Humans Machine Learning Databases, Factual Electronic Health Records
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A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
Unplanned hospital readmissions are a burden to patients and increase healthcare costs. A wide variety of machine learning (ML) models have been suggested to predict unplanned hospital readmissions. These ML models were often specifically trained on ...
Humans Treatment Outcome Models, Statistical Chronic Disease Tertiary Care Centers Hospitalization Machine Learning Area Under Curve Male Lung Diseases Prognosis Cardiovascular Diseases Electronic Health Records Neoplasms Patient Readmission Female Cohort Studies Datasets as Topic
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Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

Medical care Mar 1, 2021
BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety.
Hospital Mortality Support Vector Machine Bayes Theorem Thrombocytopenia Male Risk Assessment Length of Stay Time Factors Machine Learning Forecasting Female Hospitalization Humans
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Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness.

Medical care Feb 1, 2021
BACKGROUND: Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increas...
Reproducibility of Results Risk Factors Hospitalization Humans Aged Mental Disorders Cohort Studies Adult Young Adult Algorithms Retrospective Studies Supervised Machine Learning Sensitivity and Specificity Patient Readmission Electronic Health Records Middle Aged Self-Injurious Behavior Female Suicide, Attempted Women
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Early prediction of mortality risk among patients with severe COVID-19, using machine learning.

International journal of epidemiology Jan 23, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to develop a clinical model to predict the outcome of patients with severe COVID-19 infection ...
Male Middle Aged Risk Assessment Hospitals Case-Control Studies SARS-CoV-2 Humans Machine Learning ROC Curve Hospitalization COVID-19 Patient Admission Aged Female Sensitivity and Specificity
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