Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.

Recently, successful predictions using machine learning (ML) algorithms have been reported in variou...

Levels of Soluble Urokinase Plasminogen Activator Receptor in Pediatric Lower Respiratory Tract Infections.

Lower respiratory tract infections (LTRIs) are the most common cause of pediatric emergency departm...

The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.

: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patie...

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting ...

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...

Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

Hospital readmission is among the most critical issues in the healthcare system due to its high prev...

Emergence of mcr-1 mediated colistin resistant Escherichia coli from a hospitalized patient in Bangladesh.

INTRODUCTION: The emergence of plasmid mediated mcr in bacteria has become global public health thre...

Early Esophageal Cancer: A Gastroenterologist's Disease.

Traditionally, early esophageal cancer (i.e., cancer limited to the mucosa or superficial submucosa)...

Could deep learning in neural networks improve the QSAR models?

Assessing chemical toxicity is a multidisciplinary process, traditionally involving in vivo, in vitr...

Hospital readmissions after limited vs. extended lymph node dissection during open and robot-assisted radical prostatectomy.

PURPOSE: Differences exist concerning when and how to perform lymph node dissection (LND) during rad...

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...

Perioperative mortality and morbidity of outpatient versus inpatient robot-assisted radical prostatectomy: A propensity matched analysis.

OBJECTIVES: To compare the early (≤30 days) postoperative mortality and morbidity in patients who un...

Biocide susceptibilities and biofilm-forming capacities of Acinetobacter baumannii clinical isolates from Malaysia.

INTRODUCTION: Acinetobacter baumannii is a Gram-negative nosocomial pathogen that has the capacity t...

Combining patient visual timelines with deep learning to predict mortality.

BACKGROUND: Deep learning algorithms have achieved human-equivalent performance in image recognition...

Prediction of good neurological recovery after out-of-hospital cardiac arrest: A machine learning analysis.

BACKGROUND: This study aimed to train, validate and compare predictive models that use machine learn...

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...

Machine learning methods applied to audit of surgical outcomes after treatment for cancer of the head and neck.

Most surgical specialties have attempted to address concerns about unfair comparison of outcomes by ...

Artificial intelligence in the interpretation of breast cancer on MRI.

Advances in both imaging and computers have led to the rise in the potential use of artificial intel...

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...

Readmission prediction using deep learning on electronic health records.

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

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