Hospital-Based Medicine

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

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A predictive model for hospital death in cancer patients with acute pulmonary embolism using XGBoost machine learning and SHAP interpretation.

The prediction of in-hospital mortality in cancer patients with acute pulmonary embolism (APE) remai...

[Technological innovation and future development of quantitative research on acupuncture manipulation techniques].

The quantitative research on acupuncture manipulation techniques aims to transform traditional empir...

Machine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery.

The incidence of hypotension after a lumbosacral epidural in dogs depends on the volume of local ana...

From Admission to Discharge: Leveraging NLP for Upstream Primary Coding with SNOMED CT.

This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital Clín...

Characterization of subepithelial tumors of upper gastrointestinal tract by endoscopic ultrasound.

In this article we comment on the paper by Xu describing retrospective data on endoscopic treatment...

Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume.

The objective of this study was to develop a machine learning model utilizing data from the electron...

Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.

Palliative care is known to improve quality of life in advanced cancer. Natural language processing ...

Predicting hospital outpatient volume using XGBoost: a machine learning approach.

Hospital outpatient volume is influenced by a variety of factors, including environmental conditions...

Pre-hospital delay and mortality in different age groups with acute coronary syndrome: do we have enough evidence?

INTRODUCTION: Pre-hospital delay (p-HD) in acute coronary syndrome (ACS) influences the ability to p...

Investigating the Genetic Links Between Immune Cell Profiles and Bladder Cancer: A Multidisciplinary Bioinformatics Approach.

: Bladder cancer (BC) is a common malignancy in the urinary system, with an increasing incidence rat...

Bridging AI and Medical Expertise: ChatGPT's Success on the Medical Specialization Residency Admission Exam in Spain.

The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potentia...

Machine Learning-Based Hospital Readmission Prediction: A Comparative Analysis of Speciality-Specific vs. All-Specialities Models.

Hospital readmissions are a major challenge for healthcare systems, leading to increased costs and a...

Detecting Adverse Drug Events in Clinical Notes Using Large Language Models.

Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However,...

Transforming Data from a Commercial Hospital Information System into FHIR.

The expanded use of hospital information systems in recent decades offers possibilities to use data ...

Participatory Design of an AI-Based CDSS for Delirium Prevention.

Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and...

Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission.

Discussions about the benefits of admitting very old individuals to intensive care unit (ICU) remain...

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