AIMC Topic: Patient Discharge

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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 Female Triage Adult Emergency Service, Hospital Male Humans Patient Discharge Middle Aged Machine Learning 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.
Natural Language Processing Patient Discharge Drug-Related Side Effects and Adverse Reactions Medical Informatics Patient Admission Humans Health Personnel Surveys and Questionnaires
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Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.

International journal of medical informatics Jan 4, 2018
OBJECTIVES: Prediction of activities of daily living (ADL) is crucial for optimized care of post-stroke patients. However, no suitably-validated and practical models are currently available in clinical practice.
Taiwan Patient Discharge Stroke Activities of Daily Living Stroke Rehabilitation Female Aged Male Middle Aged Decision Making, Computer-Assisted Humans Machine Learning Algorithms Retrospective Studies
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Mild troponin elevation in patients admitted to the emergency department with atrial fibrillation: 30-day post-discharge prognostic significance.

Internal and emergency medicine Dec 23, 2017
Patients with atrial fibrillation (AF) often undergo troponin (Tn) testing in the emergency department (ED), but the clinical significance of mildly elevated values remains unclear. We evaluated short-term 30-day post-discharge outcomes in AF patient...
Middle Aged Risk Assessment Patient Discharge Humans Time Factors Risk Factors Atrial Fibrillation Emergency Service, Hospital Biomarkers Aged Troponin I Prognosis Aged, 80 and over Female Male
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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...
Decision Support Techniques Computer Simulation Length of Stay Time Factors Emergency Service, Hospital Humans Neural Networks, Computer Machine Learning Decision Support Systems, Management Health Services Needs and Demand Patient Admission Patient Care Team Needs Assessment Workflow Patient Discharge Efficiency, Organizational Nonlinear Dynamics Delivery of Health Care, Integrated Hospitals, Teaching
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Re: Robot-Assisted versus Open Radical Prostatectomy: A Contemporary Analysis of an All-Payer Discharge Database.

The Journal of urology Mar 10, 2017
Prostatectomy Humans Male Robotics Prostate Patient Discharge
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Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

BMC medical research methodology Nov 22, 2016
BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neural networks (ANN) have been used to predict the risk of post-operative events, including survival, and are increasingly being used in complex medical ...
Outcome Assessment, Health Care Multivariate Analysis Spain Amputation, Surgical Hospital Mortality Diabetes Mellitus, Type 2 Lower Extremity Humans Patient Discharge Neural Networks, Computer Male Prognosis Middle Aged Retrospective Studies Prevalence Female Comorbidity Aged Aged, 80 and over
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Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries.

International journal of medical informatics Nov 9, 2016
Clinical narrative text includes information related to a patient's medical history such as chronological progression of medical problems and clinical treatments. A chronological view of a patient's history makes clinical audits easier and improves q...
Semantics Pattern Recognition, Automated Decision Support Systems, Clinical Humans Support Vector Machine Machine Learning Narration Electronic Health Records Natural Language Processing Patient Discharge
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Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Computational and mathematical methods in medicine Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Text Messaging Reminder Systems Hospitals, Psychiatric Hospitalization Patient Discharge Young Adult Telemedicine Adult Psychometrics Spain Humans Sensitivity and Specificity Follow-Up Studies Machine Learning Self-Injurious Behavior Male Mental Health Services Middle Aged Algorithms Predictive Value of Tests Suicide, Attempted Mental Disorders Natural Language Processing Diagnosis, Computer-Assisted Female Surveys and Questionnaires Reproducibility of Results
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Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.

Journal of medical systems Jun 24, 2016
Electronic Health Record (EHR) use in India is generally poor, and structured clinical information is mostly lacking. This work is the first attempt aimed at evaluating unstructured text mining for extracting relevant clinical information from Indian...
Electronic Health Records India Socioeconomic Factors Age Factors Natural Language Processing Patient Discharge Data Mining Critical Care Sex Factors Humans Diagnostic Techniques and Procedures
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