Hospitalists

Hypercalcemia of Malignancy.

A 60-year-old man initially presented with pain in the right upper quadrant in October 2010. A compu...

Outcome Prediction in Clinical Treatment Processes.

Clinical outcome prediction, as strong implications for health service delivery of clinical treatmen...

Development of sediment load estimation models by using artificial neural networking techniques.

This study aims at the development of an artificial neural network-based model for the estimation of...

Epidermal Sutureless Closure of the Umbilical Base Following Laparoscopic Colectomy for Colon Cancer.

At our institute, a non-suturing method for closure of the umbilical epidermis has been used in lapa...

Pathology Image of the Month:Cough and Shortness of Breath in a Noncompliant Patient with HIV/AIDS.

A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) w...

Intrawound Vancomycin Powder for Spine Tumor Surgery.

Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infecti...

ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya.

The present study explores for the first time the possibility of modelling sediment concentration wi...

The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the ...

Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model.

The prediction of water quality parameters plays an important role in water resources and environmen...

Re: Editorial comment on early discharge after laparoscopic or robotic partial nephrectomy: care pathway evaluation: M. P. Laguna J Urol 2014;192:1639.

Factors influencing same-day hospital discharge and risk factors for readmission after robotic surgery in the gynecologic oncology patient population.

STUDY OBJECTIVE: To determine the factors that allow for a safe outpatient robotic-assisted minimall...

Stigmatizing Language Detection in Opioid Use Disorder Patient-Directed Discharge Clinical Documentation: A Privacy-Preserving Analysis Using a Locally Deployed Large Language Model

Objective: Stigmatizing language in the electronic health record (EHR) has been associated with adve...

Development and validation of a dynamic risk stratification tool for predicting multidrug-resistant bacterial infections in ICU patients: A clinical prediction model and web-based calculator

Background: Multi-drug resistant Bacterial (MDRB) Infections in the intensive care units (ICUs) subs...

Post-ED Trajectory Prediction in Abdominal Pain with a Generative Medical Event Model

Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, m...

Clinical Note Comparison and Data Retrieval Via Embedding Vectors: Model Selection, Metrics, and Convergence

Background: Embedding models are an integral part of generative AI architectures, transforming text ...

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation

Inpatient medication recommendation requires clinicians to repeatedly select specific medications, d...

Causal Fairness for Survival Analysis

In the data-driven era, large-scale datasets are routinely collected and analyzed using machine lear...

Enhance the after-discharge mortality rate prediction via learning from the medical notes

With the increase of the Electronic Health Records (EHR) data, more and more researchers are develop...

From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways

This paper presents a reproducible and process-aware pipeline for predictive monitoring of clinical ...

Development and Validation of a Two-Stage NLP-LLM System for Automated Extraction of Deprescribing Recommendations from Discharge Summaries

Introduction: Polypharmacy in older adults is associated with increased risks of adverse drug events...

Multicohort development and validation of a machine learning model to predict six-month functional traumatic brain injury outcomes in a large national registry

Background: Prognostication after moderate-to-severe traumatic brain injury (TBI) rarely captures lo...