Hospital-Based Medicine

NLP in Support of Pharmacovigilance: QUality Adverse Drug Reaction AcTIve Control (QUADRATIC).

Adverse drug reactions (ADRs) are a major cause of morbidity, hospital admissions, and in-hospital m...

Explainable Machine Learning for Coma Outcome Prediction Based on Structural and Functional Brain MRI.

OBJECTIVES: Advanced MRI is recommended for the clinical evaluation of patients with coma. However, ...

When AI joins the table: evaluating large language model performance in soft tissue sarcoma tumor board decisions.

OBJECTIVES: Multidisciplinary tumor boards (MDTs) are critical for the personalized management of so...

Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims.

OBJECTIVES: To develop and evaluate a machine learning (ML) model that predicts Crohn's disease (CD)...

Predicting wire electrical discharge machined surface roughness of C355/silicon nitride/graphene hybrid nanocomposites using simulation, statistical and machine learning techniques.

This study employed machine learning (ML) and optimization approaches, with support vector regressio...

Protocol for a pragmatic trial comparing navigator and automated virtual interventions for guaranteeing adherence to fecal immunochemical testing (NAVIGATE-FIT).

BACKGROUND: Fecal immunochemical testing (FIT) - a non-invasive colorectal cancer (CRC) screening me...

Exploring key risk factors for loss to follow-up after hospitalization for acute stroke.

BACKGROUND: A significant proportion of stroke patients are lost to follow-up (LTFU) after discharge...

Early hemodynamic phenotyping in sepsis using transthoracic echocardiography: A proof-of-concept study in a north African ICU.

BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. ...

Impact of GPT-4-Generated Discharge Letters on Patients' Medical Comprehension: Prospective Crossover Study.

BACKGROUND: Patients often struggle to understand standard hospital discharge letters, increasing th...

An integrated random forest- and LASSO-derived nomogram for predicting postoperative nosocomial infections in colorectal cancer patients.

Ryanodine receptor 2 mutations in catecholaminergic polymorphic ventricular tachycardia: From molecular mechanisms to precision medicine.

Catecholaminergic polymorphic ventricular tachycardia is a classic example of the successful transfe...

Comprehensive assessment of postoperative metachronous liver metastasis risk in colon cancer based on inflammatory indicators: a multicenter prospective study.

OBJECTIVE: Insidiousness is a hallmark of metachronous liver metastasis. Owing to the absence of a c...

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations.

BACKGROUND: Postoperative intensive care unit (ICU) admission affects 15% to 20% of surgical patient...

Assessment of the Modified Rankin Scale in Electronic Health Records With a Fine-Tuned Large Language Model: Development and Internal Validation.

BACKGROUND: The modified Rankin scale (mRS) is an important metric in stroke research, often used as...

[Utilizing machine learning and SHAP analysis to develop a prognostic survival prediction model for gastric cancer patients following radical gastrectomy].

Objective: To construct a prediction model and website for the overall survival (OS) of gastric canc...

Explainable multimodal deep learning models for variable-length sequences in critically ill patients.

OBJECTIVE: Deep learning models have shown strong performance in predicting clinical events in criti...

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BACKGROUND AND AIM: Over recent decades, formal requirements for medical records have been strengthe...

Machine Learning Models for Mortality Prediction in Intensive Care Unit Patients With Ischemic Stroke Associated With Intracranial Artery Stenosis: Retrospective Cohort Study.

BACKGROUND: Mortality prediction in intensive care unit (ICU) patients with ischemic stroke complica...

Non-pharmacological treatment of AECOPD.

Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are acute events characterize...

The prognostic value of the PALBI score for mortality prediction in stroke: an internal and external validation study.

Recent studies show that there's a link between liver problems and how well someone does after havin...

Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an ...