Infection Control

Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality.

Acute infection, if not rapidly and accurately detected, can lead to sepsis, organ failure and even ...

Design of 1-year mortality forecast at hospital admission: A machine learning approach.

Palliative care is referred to a set of programs for patients that suffer life-limiting illnesses. T...

Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machi...

[Launching Robot-Assisted Laparoscopic Surgery for Rectal Cancer in Our Hospital-Short-Term Results].

Robot-assisted laparoscopic surgery(RALS)for rectal cancer has been covered by National Health Insur...

Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.

OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers...

[Technical Realization of Integrating Bone Age Artificial Intelligence Assessment System with Hospital RIS-PACS Network].

OBJECTIVE: To explore the integration method and technical realization of artificial intelligence bo...

[Clinical analysis of robot-assisted laparoscopic transabdominal preperitoneal inguinal hernia repair].

To explore the clinical value of robot-assisted laparoscopic transabdominal preperitoneal (TAPP) in...

[Study on the precision of the robot-assisted sacroiliac screw placement].

To evaluate the precision of the robot-assisted sacroiliac screw placement for posterior pelvis inj...

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...

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...

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...

Comparison of Unplanned 30-Day Readmission Prediction Models, Based on Hospital Warehouse and Demographic Data.

Anticipating unplanned hospital readmission episodes is a safety and medico-economic issue. We compa...

Machine Learning Prediction of Postoperative Emergency Department Hospital Readmission.

BACKGROUND: Although prediction of hospital readmissions has been studied in medical patients, it ha...

[Research and application of orthotopic DR chest radiograph quality control system based on artificial intelligence].

With the change of medical diagnosis and treatment mode, the quality of medical image directly affec...

Reparación de hernias paraesofágicas gigantes asistida por robot en un hospital de cuarto nivel en Bogotá, Colombia, Clínica Shaio: serie de casos y revisión de la literatura.

BACKGROUND: Giant paraesophageal hernias have a surgical indication in case of symptoms. Since twent...

Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning approaches.

OBJECTIVE: Research on predictors of treatment outcome in depression has largely derived from random...

A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predi...

Medical Equipment Replacement Prioritisation: A Comparison Between Linear and Fuzzy System Models.

In hospital management, health technology assessment techniques are being increasingly developed. Th...