Hospital-Based Medicine

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

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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.

BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, vali...

Nov 2018 30458006
Natural language generation for electronic health records.

One broad goal of biomedical informatics is to generate fully-synthetic, faithfully representative e...

Nov 2018 30687797
Vitamin D in the ICU: More sun for critically ill adult patients?

Critical illness in patients is characterized by systemic inflammation and oxidative stress. Vitamin...

Nov 2018 30731421
Optimal intensive care outcome prediction over time using machine learning.

BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the inte...

Nov 2018 30427913
A conceptual framework for clinicians working with artificial intelligence and health-assistive Smart Homes.

The Smart Home designed to extend older adults independence is emerging as a clinical solution to th...

Nov 2018 30417510
Analysing repeated hospital readmissions using data mining techniques.

Few studies have examined how to identify future readmission of patients with a large number of repe...

Nov 2018 31215903
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes.

Postsurgical complications (PSCs) are known as a deviation from the normal postsurgical course and c...

Nov 2018 31728432
Social robots to support children's well-being under medical treatment: A systematic state-of-the-art review.

Hospitalization is a stressful experience for children. Socially assistive robots (SARs), designed t...

Nov 2018 30394806
Using an artificial neural network to predict traumatic brain injury.

In BriefPediatric traumatic brain injury (TBI) is common, but not all injuries require hospitalizati...

Nov 2018 30485240
Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume.

IMPORTANCE: Forecasting the volume of hospital discharges has important implications for resource al...

Nov 2018 30646340
Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, t...

Oct 2018 30682545
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

The importance of incorporating Natural Language Processing (NLP) methods in clinical informatics re...

Oct 2018 30368002
Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study.

BACKGROUND: Artificial intelligence (AI) is developing quickly in the medical field and can benefit ...

Sep 2018 30257820
The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb.

Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability an...

Sep 2018 30295660
A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis.

INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quic...

Sep 2018 30245121
Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a seri...

Sep 2018 30237014
Machine Learning and Primary Total Knee Arthroplasty: Patient Forecasting for a Patient-Specific Payment Model.

BACKGROUND: Value-based and patient-specific care represent 2 critical areas of focus that have yet ...

Sep 2018 30243882
Societal Issues Concerning the Application of Artificial Intelligence in Medicine.

BACKGROUND: Medicine is becoming an increasingly data-centred discipline and, beyond classical stati...

Sep 2018 30815459
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....

Aug 2018 30195164
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 ...

Aug 2018 30136339
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