Hospital-Based Medicine

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

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Showing 1849-1869 of 9,930 articles
Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology.

Hospital readmission is one of the critical metrics used for measuring the performance of hospitals....

Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy.

RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies ...

Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.

OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic ...

Big data and machine learning in critical care: Opportunities for collaborative research.

The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the pos...

RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes.

BACKGROUND: Although different quality controls have been applied at different stages of the sample ...

Predicting hospital admission at emergency department triage using machine learning.

OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition ...

Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

A large recent study analyzed the relationship between multiple factors and neonatal outcome and in...

Optimizing Autoencoders for Learning Deep Representations From Health Data.

Analyzing patients' health data using machine learning techniques can improve both patient outcomes ...

Molecular Genotyping of Species Isolated from Patients in Tehran, Iran, by Repetitive Element PCR Fingerprinting.

BACKGROUND & OBJECTIVE: is an opportunistic pathogen with high pathogenic and antibiotic-resistance...

Decontamination of collards ( var. L.) using electrolyzed water and corona discharge plasma jet.

Acidic electrolyzed water (AEW) was used for collards sanitization. In the AEW (pH of 3.6; 230 mg/L ...

Adverse Outcomes due to Aggressive Fluid Resuscitation in Children: A Prospective Observational Study.

Fluid management has a major impact on the duration, severity, and outcome of critically ill childre...

[Expert systems-urgently needed for early diagnosis of sepsis : Results of retrospective clinical validation of the expert system FLORIDA].

The expert system FLORIDA (Fuzzy Logic Orientated Rule Interpreter for Diagnostic Applications) is e...

An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.

BACKGROUND: In-hospital cardiac arrest is a major burden to public health, which affects patient saf...

Design and Evaluation of a Motorized Robotic Bed Mover With Omnidirectional Mobility for Patient Transportation.

Patient transportation in hospitals faces many challenges, including the limited manpower, work-rela...

Mapping the transmission risk of Zika virus using machine learning models.

Zika virus, which has been linked to severe congenital abnormalities, is exacerbating global public ...

Time series model for forecasting the number of new admission inpatients.

BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can ...

Automatic classification of radiological reports for clinical care.

Radiological reporting generates a large amount of free-text clinical narratives, a potentially valu...

Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients.

BACKGROUND: Nursing notes have not been widely used in prediction models for clinical outcomes, desp...

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