Hospital-Based Medicine

[Risk factors for postoperative intestinal obstruction in patients undergoing robot-assisted laparoscopic radical prostatectomy].

To analyze the risk factors of postoperative intestinal obstruction (POI) in patients undergoing ro...

Commentary: Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

BACKGROUND: Unplanned hospital readmissions constitute a significant cost burden in healthcare. Iden...

[Necessity of Pelvic Drain Placement after Robot-Assisted Radical Prostatectomy].

Sixty eight patients had robot-assisted radical prostatectomy (RARP) from January 2016 to April 2017...

Machine Learning for Predictive Modeling of 90-day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion.

STUDY DESIGN: Retrospective case control study.

Concordance between treatment recommendations provided by IBM Watson for Oncology and a multidisciplinary tumor board for breast cancer in China.

OBJECTIVE: Watson for Oncology (WFO), an artificial intelligence from IBM Corporation, can provide a...

Patients' Perceptions After Robot-Assisted Surgery: An Integrative Review.

Surgical techniques have greatly changed and advanced with the advent of robot-assisted surgery (RAS...

'I'm over the moon!': patient-perceived outcomes of hepatitis C treatment.

Understanding patient-perceived outcomes is crucial for assessing the effectiveness and acceptabilit...

Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data.

Risk assessment tools for patients with gastrointestinal bleeding may be used for determining level ...

Omitting Cortical Renorrhaphy in Robot-Assisted Partial Nephrectomy: Is it Safe? A Single Center Large Case Series.

Preserving renal function after robot-assisted partial nephrectomy (RAPN) is important and influenc...

Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.

The incidence rate of pressure injury is a critical nursing quality indicator in clinic care; conseq...

Designing an optimal inventory management model for the blood supply chain: Synthesis of reusable simulation and neural network.

Blood supply managers in the blood supply chain have always sought to create enough reserves to incr...

Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach.

Predicting Cardiovascular Length of stay based hospitalization at the time of patients' admitting to...

Dexterous Force Estimation during Finger Flexion and Extension Using Motor Unit Discharge Information.

With the development of advanced robotic hands, a reliable neural-machine interface is essential to ...

Real-time finger force prediction via parallel convolutional neural networks: a preliminary study.

Continuous and accurate decoding of intended motions is critical for human-machine interactions. Her...

Collaborative, Multidisciplinary Evaluation of Cancer Variants Through Virtual Molecular Tumor Boards Informs Local Clinical Practices.

PURPOSE: The cancer research community is constantly evolving to better understand tumor biology, di...

Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit.

BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at...

A Survey of Nurses' Need for Care Robots in Children's Hospitals: Combining Robot-Care, Game-Care, and Edu-Care.

The purpose of this study was to investigate nurses' need for care robots in children's hospitals an...

Comparison of Machine Learning Algorithms for Classifying Adverse-Event Related 30-Day Hospital Readmissions: Potential Implications for Patient Safety.

Studies in the last decade have focused on identifying patients at risk of readmission using predict...

Mobile Robotic Telepresence Between Hospital and School: Lessons Learned.

If a pupil falls seriously ill, it is not only a shock for the pupil himself or herself, but also fo...

Evaluating Performance and Interpretability of Machine Learning Methods for Predicting Delirium in Gerontopsychiatric Patients.

Delirium is an acute mental disturbance that particularly occurs during hospital stay. Current clini...