AIMC Topic: Patient Admission

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Optimal intensive care outcome prediction over time using machine learning.

PloS one Nov 14, 2018
BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far been limited to data from admission or the first 24 hours. Most ICU admissions ...
Retrospective Studies Intensive Care Units Clinical Decision-Making Female Aged Humans Machine Learning Prognosis Critical Care Datasets as Topic APACHE Patient Admission Hospital Mortality ROC Curve Male Decision Support Systems, Clinical Middle Aged Logistic Models Risk Assessment Feasibility Studies Sepsis
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
Middle Aged Organ Dysfunction Scores Neoplasms Patient Admission Female Aged Respiration, Artificial Acute Disease Adult Comorbidity Cross-Sectional Studies Humans Respiratory Insufficiency Severity of Illness Index Male Prognosis APACHE Time Factors Infections Critical Illness Hospital Mortality Liver Failure Intensive Care Units Vitamin D Vitamin D Deficiency C-Reactive Protein
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Predicting hospital admission at emergency department triage using machine learning.

PloS one Jul 20, 2018
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage.
Models, Statistical Triage Emergency Service, Hospital Patient Discharge Patient Admission Humans Machine Learning Female Adult Male Middle Aged
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Time series model for forecasting the number of new admission inpatients.

BMC medical informatics and decision making Jun 15, 2018
BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and ...
Forecasting Humans China Neural Networks, Computer Models, Theoretical Inpatients Patient Admission
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Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.

Applied clinical informatics May 9, 2018
BACKGROUND: Often unrecognized by providers, adverse drug reactions (ADRs) diminish patients' quality of life, cause preventable admissions and emergency department visits, and increase health care costs.
Humans Health Personnel Surveys and Questionnaires Natural Language Processing Patient Discharge Drug-Related Side Effects and Adverse Reactions Medical Informatics Patient Admission
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Classification of hospital admissions into emergency and elective care: a machine learning approach.

Health care management science Nov 25, 2017
Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healthcare systems. The issue of how to differentiate urgent admissions from non-urgent or even elective admissions is crucial. We aim to develop a model f...
Child, Preschool Child Age Factors Emergency Medical Services Emergency Service, Hospital Young Adult Adult Middle Aged Infant Adolescent Elective Surgical Procedures Patient Admission Humans Machine Learning Algorithms Infant, Newborn Hospitalization Aged Aged, 80 and over
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Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.

Artificial intelligence in medicine Oct 18, 2017
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length of stay (ALOS) and tackle overcrowding, numerous resources, including the number of doctors, nurses...
Needs Assessment Delivery of Health Care, Integrated Hospitals, Teaching Nonlinear Dynamics Decision Support Systems, Management Health Services Needs and Demand Patient Admission Patient Care Team Emergency Service, Hospital Workflow Patient Discharge Efficiency, Organizational Humans Neural Networks, Computer Machine Learning Decision Support Techniques Computer Simulation Length of Stay Time Factors
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A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text.

Journal of healthcare engineering Jul 5, 2017
Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English. However, much less work has been done on nonstructural texts that...
Asian People Medical History Taking Artificial Intelligence Patient Admission Electronic Health Records Humans Language China Pharmaceutical Preparations
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Acute systolic heart failure with normal admission BNP: clinical features and outcomes.

International journal of cardiology Dec 20, 2016
INTRODUCTION: The characteristics and outcomes of patients hospitalized with acute systolic heart failure (HF) and normal admission B-type natriuretic peptide (BNP) has not been previously explored.
Patient Readmission Natriuretic Peptide, Brain Heart Failure, Systolic Humans Patient Admission Biomarkers United States Prognosis Follow-Up Studies Acute Disease Morbidity Stroke Volume Middle Aged Disease Progression Time Factors Retrospective Studies Hospital Mortality Female Survival Rate Male Ventricular Function, Left
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Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology.

TheScientificWorldJournal Aug 5, 2015
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and...
Algorithms Databases, Factual Biomarkers Prognosis Retrospective Studies Intensive Care Units Ventricular Function, Left Stroke Volume Severity of Illness Index Hemodynamics Humans Models, Theoretical Fuzzy Logic Heart Failure Patient Admission
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