Hospital-Based Medicine

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

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Showing 1471-1491 of 8,356 articles
Decision-Making Application of the Cloud-Fog Hybrid Model Based on the Improved Convolutional Neural Network in Financial Services in Smart Medical Care.

In order to alleviate the "difficulty in seeing a doctor" for the masses, continuously optimize the ...

Aug 2022 35983154
Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs.

Accurate estimation of mortality and time to death at admission for COVID-19 patients is important a...

Aug 2022 35941407
A preliminary prediction model using a deep learning software program for prolonged hospitalization after cardiovascular surgery.

A prolonged length of hospital stay (LOS) has become an important issue among patients undergoing ca...

Aug 2022 35931880
Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence.

Under the background of artificial intelligence (AI), a human resource information management system...

Aug 2022 35966240
Using Healthcare Resources Wisely: A Predictive Support System Regarding the Severity of Patient Falls.

BACKGROUND: An injurious fall is one of the main indicators of care quality in healthcare facilities...

Aug 2022 35958052
Robot-Assisted Resection of Intestinal Duplication in Children.

Intestinal duplication is the most common type of alimentary tract duplications in childhood. Lapar...

Jul 2022 35904972
Prediction algorithm for ICU mortality and length of stay using machine learning.

Machine learning can predict outcomes and determine variables contributing to precise prediction, an...

Jul 2022 35902633
Predicting malnutrition from longitudinal patient trajectories with deep learning.

Malnutrition is common, morbid, and often correctable, but subject to missed and delayed diagnosis. ...

Jul 2022 35901027
Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records.

We sought to craft a drug safety signalling pipeline associating latent information in clinical free...

Jul 2022 35834334
A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.

BACKGROUND: Various machine learning and artificial intelligence methods have been used to predict o...

Jul 2022 35879715
Clinical and oncological outcomes of open partial nephrectomy versus robot assisted partial nephrectomy over 15 years.

Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The ob...

Jul 2022 35851947
Phenotypes of sickle cell intensive care admissions: an unsupervised machine learning approach in a single-center retrospective cohort.

Sickle cell disease (SCD) is associated with multiple known complications and increased mortality. T...

Jul 2022 35836008
Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features.

The emergence of the COVID-19 pandemic over a relatively brief interval illustrates the need for rap...

Jul 2022 35894016
Socially assistive robots on the market : Experiences from inpatient care and potentials for care at home.

BACKGROUND: The article addresses commercial socially assistive robots (SAR). There is evidence of t...

Jul 2022 35819502
Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers.

The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (I...

Jul 2022 35816481
Application of Improved Robot-assisted Laparoscopic Telesurgery with 5G Technology in Urology.

The demand for telesurgery is rising rapidly, but robust evidence regarding the feasibility of its a...

Jul 2022 35817641
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.

Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep le...

Jul 2022 35130176
Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation.

A continuous and complete spring discharge record is critical in understanding the hydrodynamic beha...

Jun 2022 35751724
Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning.

The link between schizophrenia and homicide has long been the subject of research with significant i...

Jun 2022 35730542
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