Hospital-Based Medicine

Hospitalists

Latest AI and machine learning research in hospitalists for healthcare professionals.

6,120 articles
Stay Ahead - Weekly Hospitalists research updates
Subscribe
Browse Categories
Showing 484-504 of 6,120 articles
Leveraging Semantics in WordNet to Facilitate the Computer-Assisted Coding of ICD-11.

The International Classification of Diseases (ICD) not only serves as the bedrock for health statist...

Oct 2019 31670684
Association between Blood Pressure after Haemodynamic Resuscitation in the Prehospital Setting and 28-Day Mortality in Septic Shock.

OBJECTIVE: Septic shock results in a decreased blood pressure (BP) leading to organ failure. The hae...

Oct 2019 32551451
Extreme Gradient Boosting Model Has a Better Performance in Predicting the Risk of 90-Day Readmissions in Patients with Ischaemic Stroke.

OBJECT: Ischemic stroke readmission within 90 days of hospital discharge is an important quality of ...

Oct 2019 31627995
Prediction model for the water jet falling point in fire extinguishing based on a GA-BP neural network.

Past research on the process of extinguishing a fire typically used a traditional linear water jet f...

Sep 2019 31483808
Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries.

*: Background Consisting of dictated free-text documents such as discharge summaries, medical narrat...

Aug 2019 31419946
Modelling outcomes after paediatric brain injury with admission laboratory values: a machine-learning approach.

BACKGROUND: Severe traumatic brain injury (TBI) is a leading cause of mortality in children, but the...

Jul 2019 31349360
Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.

OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical devel...

Jul 2019 31521253
Readmission prediction using deep learning on electronic health records.

Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose ...

Jul 2019 31351136
Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data.

OBJECTIVE: Mechanical restraint (MR) is used to prevent patients from harming themselves or others d...

Jul 2019 31209866
A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.

BACKGROUND: The rapid deterioration observed in the condition of some hospitalized patients can be a...

Jul 2019 31278734
Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.

BACKGROUND: The objective is to develop and validate an artificial neural network (ANN) that learns ...

Jun 2019 31285089
Using machine-learning methods to support health-care professionals in making admission decisions.

BACKGROUND: Large tertiary hospitals usually face long waiting lines; patients who want to receive h...

Apr 2019 30957270
Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to...

Apr 2019 30941521
Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge plac...

Mar 2019 30919114
Chief complaint classification with recurrent neural networks.

Syndromic surveillance detects and monitors individual and population health indicators through sour...

Mar 2019 30926471
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Traditional methods for assessing illness severity and predicting in-hospital mortality among critic...

Feb 2019 30755689
The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission predictio...

Nov 2018 30469164
Browse Categories