Hospital-Based Medicine

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

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Single overnight stay after robot-assisted partial nephrectomy: a bi-center experience.

BACKGROUND: Despite hospital length of stay (LOS) being shorter for robot-assisted partial nephrecto...

(2)
Nov 2020 33200901
Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission.

A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma...

Nov 2020 33201935
Machine Learning for Mortality Analysis in Patients with COVID-19.

This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain)....

Nov 2020 33198392
Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes.

Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results ...

Nov 2020 33170109
Machine-learning algorithms for predicting hospital re-admissions in sickle cell disease.

Reducing preventable hospital re-admissions in Sickle Cell Disease (SCD) could potentially improve o...

Nov 2020 33169861
Safety and efficacy of robot-assisted versus open pancreaticoduodenectomy: a meta-analysis of multiple worldwide centers.

The objective of the study is to compare the safety and efficacy of robot-assisted pancreaticoduoden...

Nov 2020 33159662
Detailed Analysis of Urinary Tract Infections After Robot-Assisted Radical Cystectomy.

To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and inve...

Nov 2020 32664741
Robotic versus open oncological gastric surgery in the elderly: a propensity score-matched analysis.

Although there is no agreement on a definition of elderly, commonly an age cutoff of ≥ 65 or 75 year...

Nov 2020 33151485
[A brief history of artificial intelligence].

For more than a decade, we have witnessed an acceleration in the development and the adoption of art...

Nov 2020 33151868
TAPER: Time-Aware Patient EHR Representation.

Effective representation learning of electronic health records is a challenging task and is becoming...

(1)
Nov 2020 32287023
Machine learning models to predict length of stay and discharge destination in complex head and neck surgery.

BACKGROUND: This study develops machine learning (ML) algorithms that use preoperative-only features...

Nov 2020 33142001
Effect of Obesity on Clinical Outcomes of Patients Treated With Cefepime.

As the prevalence of obesity climbs, dosing of antimicrobials, particularly cephalosporins, is beco...

Oct 2020 34752550
Adoption of Single-Port Robotic Prostatectomy: Two Alternative Strategies.

To demonstrate two distinct methods for adopting the single-port (SP) robotic surgery system for ro...

Oct 2020 32811164
Natural language processing with machine learning to predict outcomes after ovarian cancer surgery.

OBJECTIVE: To determine if natural language processing (NLP) with machine learning of unstructured f...

Oct 2020 33069375
Identification of exacerbation risk in patients with liver dysfunction using machine learning algorithms.

The prediction of the liver failure (LF) and its proper diagnosis would lead to a reduction in the c...

Oct 2020 33035213
Clinical Predictive Models for COVID-19: Systematic Study.

BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapi...

(1)
Oct 2020 32976111
Cleaning Up the MESS: Can Machine Learning Be Used to Predict Lower Extremity Amputation after Trauma-Associated Arterial Injury?

BACKGROUND: Thirty years after the Mangled Extremity Severity Score was developed, advances in vascu...

Oct 2020 33022402
A deep learning-based, unsupervised method to impute missing values in electronic health records for improved patient management.

Electronic health records (EHRs) often suffer missing values, for which recent advances in deep lear...

Oct 2020 33010424
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning.

BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the i...

Sep 2020 33959271
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