Hospital-Based Medicine

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

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Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Digitization of medicine requires systematic handling of the increasing amount of health data to imp...

(1)
May 2020 32377810
Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.

OBJECTIVE: We analyzed data from inpatients with diabetes admitted to a large university hospital to...

Apr 2020 32350021
Prediction of Postoperative Length of Hospital Stay Based on Differences in Nursing Narratives in Elderly Patients with Epithelial Ovarian Cancer.

OBJECTIVES:  The current study sought to evaluate whether nursing narratives can be used to predict ...

Apr 2020 32349156
Exploration of critical care data by using unsupervised machine learning.

BACKGROUND AND OBJECTIVE: Identification of subgroups may be useful to understand the clinical chara...

Apr 2020 32403049
Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision.

Medical error is a leading cause of patient death in the United States. Among the different types of...

(2)
Apr 2020 32348850
Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department.

Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, depart...

Apr 2020 32309989
Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.

OBJECTIVE: Mental or substance use disorders (M/SUD) are major contributors of disease burden with h...

Apr 2020 32353752
Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cance...

Apr 2020 32325370
Contemporary Rates and Predictors of Open Conversion During Minimally Invasive Radical Prostatectomy for Nonmetastatic Prostate Cancer.

To test contemporary rates and predictors of open conversion at minimally invasive (laparoscopic or...

Apr 2020 32178532
Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.

The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of AI ...

Apr 2020 32279157
Predicting Inpatient Medication Orders From Electronic Health Record Data.

In a general inpatient population, we predicted patient-specific medication orders based on structur...

Apr 2020 32141068
Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?

Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radic...

(2)
Mar 2020 31973590
Prediction of admission in pediatric emergency department with deep neural networks and triage textual data.

Emergency department (ED) overcrowding is a global condition that severely worsens attention to pati...

Mar 2020 32240912
Machine Learning techniques in breast cancer prognosis prediction: A primary evaluation.

More than 750 000 women in Italy are surviving a diagnosis of breast cancer. A large body of literat...

Mar 2020 32154669
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce...

Mar 2020 32132525
Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data.

In this work, we utilize a combination of free-text and structured data to build Acute Respiratory D...

Mar 2020 32308815
Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth.

Reconstructing a "forma mentis", a mindset, and its changes, means capturing how individuals perceiv...

Mar 2020 33816907
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