Hospital-Based Medicine

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

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Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

The increasing availability of electronic health records and administrative data and the adoption of...

Nov 2021 34891780
Radiomics in Oncology: A Practical Guide.

Radiomics refers to the extraction of mineable data from medical imaging and has been applied within...

Oct 2021 34597235
[Application of digital medical technology in hepatopancreatobiliary surgery:20 years' retrospective review and prospect].

Digital medicine has played a vital role in promoting the development of hepatobiliary and pancreati...

Oct 2021 34619904
[Da Vinci robot-assisted pylorus and vagus nerve-preserving partial gastrectomy for gastric cancer].

To investigate the safety and feasibility of Da Vinci robot-assisted pylorus and vagus nerve-preser...

Sep 2021 34530563
Machine learning for initial insulin estimation in hospitalized patients.

OBJECTIVE: The study sought to determine whether machine learning can predict initial inpatient tota...

Sep 2021 34279615
Extraperitoneal Single-Port Robot-Assisted Radical Prostatectomy.

Robot-assisted radical prostatectomy (RARP) is currently the standard minimally invasive procedure f...

Sep 2021 34499546
Artificial neural network prediction of same-day discharge following primary total knee arthroplasty based on preoperative and intraoperative variables.

AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- ...

Aug 2021 34334050
[Single-center experience of robot-assisted laparoscopic nephron-sparing surgery for giant renal hamartoma].

The clinical data of 22 patients with giant renal hamartoma in Zhejiang Provincial People's Hospital...

Jul 2021 34225421
Predicting the Need For Vasopressors in the Intensive Care Unit Using an Attention Based Deep Learning Model.

BACKGROUND: Previous models on prediction of shock mostly focused on septic shock and often required...

Jul 2021 33177372
Predicting ventilator-associated pneumonia with machine learning.

Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive...

Jun 2021 34115013
[Robot-assisted nephroureterectomy requiring no robot redocking or patient repositioning: experience from a single center with 62 cases].

To examine a new technique of robot-assisted nephroureterectomy without robot reldocking or patient...

Jun 2021 34102740
Gynecological Surgery and Machine Learning: Complications and Length of Stay Prediction.

In this study we are developing predictive models for a length of stay after a gynecological surgery...

May 2021 34042641
Prescreening in Oncology Using Data Sciences: The PreScIOUS Study.

The development of precision medicine in oncology to define profiles of patients who could benefit f...

May 2021 34042718
A Deep Learning Framework for Automated ICD-10 Coding.

The International Statistical Classification of Diseases and Related Health Problems (ICD) is one of...

May 2021 34042763
[Robot-assisted single-anastomosis duodeno-ileal bypass with sleeve gastrectomy].

Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar ...

May 2021 34000775
First Steps to Evaluate an NLP Tool's Medication Extraction Accuracy from Discharge Letters.

INTRODUCTION: The aim of this study is to evaluate the use of a natural language processing (NLP) so...

May 2021 34042898
Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.

Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can re...

May 2021 34106618
Development and validation of a machine learning model to predict mortality risk in patients with COVID-19.

New York City quickly became an epicentre of the COVID-19 pandemic. An ability to triage patients wa...

May 2021 33962987
Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury.

Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This ...

Apr 2021 34198412
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