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Subcategories: Hospitalists Infection Control Intensivists Nursing Risk Management Surveillance

Showing 2584-2604 of 8,393 articles

Non-temporal tree-based models outperform temporal deep learning models in the prediction of chemotherapy-induced side effects from longitudinal laboratory data

The increasing availability of electronic health records (EHRs) provides opportunities to apply mach...

Jan 2025 10.64898/2025.12.12.25342142

Rx-LLM: a benchmarking suite to evaluate safe large language model performance for medication-related tasks

For large language models (LLMs) to reach their potential as information technology tools that make ...

Jan 2025 10.64898/2025.12.01.25341004

Understanding Uncertainty in Large Language Model Predictions of Early Death in Critically Ill Patients: A Conformal Prediction Approach

Early prediction of in-hospital death remains a significant challenge due to the limited availabilit...

Jan 2025 10.64898/2025.12.14.25342221

Machine Learning-Based Prediction of In-Hospital Mortality in Severe COVID-19 Patients Using Hematological Markers.

The mortality rate is very high in patients with severe COVID-19. Nearly 32% of COVID-19 patients a...

Jan 2025 40391097

AI in optimized cancer treatment: laying the groundwork for interdisciplinary progress.

The molecular complexity of cancer presents significant challenges to traditional therapeutic approa...

Jan 2025 40417176

Predicting Superaverage Length of Stay in COPD Patients with Hypercapnic Respiratory Failure Using Machine Learning.

OBJECTIVE: The purpose of this study was to develop and validate machine learning models that can pr...

Jan 2025 40357373

Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.

Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critic...

Jan 2025 40406513

PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT.

Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...

Jan 2025 39671551

Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine.

Metabolic syndrome (MetS) has a significant impact on health. MetS is the umbrella term for a group...

Jan 2025 39819060

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm base...

Jan 2025 39862116

Leveraging artificial intelligence to promote COVID-19 appropriate behaviour in a healthcare institution from north India: A feasibility study.

Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...

Jan 2025 40036109

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation

Medication recommendation is one of the most critical health-related applications, which has attra...

Dec 2024 http://arxiv.org/abs/2412.20040v1

Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes

Although advances in brain surgery techniques have led to fewer postoperative complications requir...

Dec 2024 http://arxiv.org/abs/2412.15818v1

Continuous Patient Monitoring with AI: Real-Time Analysis of Video in Hospital Care Settings

This study introduces an AI-driven platform for continuous and passive patient monitoring in hospi...

Dec 2024 http://arxiv.org/abs/2412.13152v1

PT: A Plain Transformer is Good Hospital Readmission Predictor

Hospital readmission prediction is critical for clinical decision support, aiming to identify pati...

Dec 2024 http://arxiv.org/abs/2412.12909v1

RareAgents: Advancing Rare Disease Care through LLM-Empowered Multi-disciplinary Team

Rare diseases, despite their low individual incidence, collectively impact around 300 million peop...

Dec 2024 http://arxiv.org/abs/2412.12475v2

Evaluating the Efficacy of Vectocardiographic and ECG Parameters for Efficient Tertiary Cardiology Care Allocation Using Decision Tree Analysis

Use real word data to evaluate the performance of the electrocardiographic markers of GEH as featu...

Dec 2024 http://arxiv.org/abs/2412.11839v1

Browse Categories

Non-temporal tree-based models outperform temporal deep learning models in the prediction of chemotherapy-induced side effects from longitudinal laboratory data

Rx-LLM: a benchmarking suite to evaluate safe large language model performance for medication-related tasks

Understanding Uncertainty in Large Language Model Predictions of Early Death in Critically Ill Patients: A Conformal Prediction Approach

Machine Learning-Based Prediction of In-Hospital Mortality in Severe COVID-19 Patients Using Hematological Markers.

AI in optimized cancer treatment: laying the groundwork for interdisciplinary progress.

Predicting Superaverage Length of Stay in COPD Patients with Hypercapnic Respiratory Failure Using Machine Learning.

Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.

PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT.

Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine.

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

Leveraging artificial intelligence to promote COVID-19 appropriate behaviour in a healthcare institution from north India: A feasibility study.

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation

Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes

Continuous Patient Monitoring with AI: Real-Time Analysis of Video in Hospital Care Settings

PT: A Plain Transformer is Good Hospital Readmission Predictor

RareAgents: Advancing Rare Disease Care through LLM-Empowered Multi-disciplinary Team

Evaluating the Efficacy of Vectocardiographic and ECG Parameters for Efficient Tertiary Cardiology Care Allocation Using Decision Tree Analysis

Superhuman performance of a large language model on the reasoning tasks of a physician

Large Language Models for Medical Forecasting -- Foresight 2

Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations

From Intention To Implementation: Automating Biomedical Research via LLMs

Browse Categories