AIMC Topic: Inpatients
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Exploratory Analysis of Nationwide Japanese Patient Safety Reports on Suicide and Suicide Attempts Among Inpatients With Cancer Using Large Language Models.
Psycho-oncology
May 1, 2025
OBJECTIVE: Patients with cancer have a high risk of suicide. However, evidence-based preventive measures remain unclear. This study aimed to investigate suicide prevention strategies for hospitalized patients with cancer by analyzing nationwide patie...
Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major Operations.
JCO clinical cancer informatics
Apr 1, 2024
PURPOSE: Preoperative prediction of postoperative complications (PCs) in inpatients with cancer is challenging. We developed an explainable machine learning (ML) model to predict PCs in a heterogenous population of inpatients with cancer undergoing s...
Effects of Language Differences on Inpatient Fall Detection Using Deep Learning.
Studies in health technology and informatics
Mar 1, 2024
This study examined the effects of language differences between Korean and English on the performance of natural language processing in the classification task of identifying inpatient falls from unstructured nursing notes.
Enhancing Antibiotic Stewardship: A Machine Learning Approach to Predicting Antibiotic Resistance in Inpatient Care.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Antibiotics have been crucial in advancing medical treatments, but the growing threat of antibiotic resistance challenges these achievements and emphasizes the need for innovative stewardship strategies. In this study, we developed machine learning m...
Evaluation of inpatient medication guidance from an artificial intelligence chatbot.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
Dec 5, 2023
PURPOSE: To analyze the clinical completeness, correctness, usefulness, and safety of chatbot and medication database responses to everyday inpatient medication-use questions.
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
Journal of the American Medical Informatics Association : JAMIA
Nov 17, 2023
OBJECTIVE: Development of electronic health records (EHR)-based machine learning models for pediatric inpatients is challenged by limited training data. Self-supervised learning using adult data may be a promising approach to creating robust pediatri...
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers.
Radiology
Oct 1, 2023
Background Clinicians consider both imaging and nonimaging data when diagnosing diseases; however, current machine learning approaches primarily consider data from a single modality. Purpose To develop a neural network architecture capable of integra...
In-Hospital Cancer Mortality Prediction by Multimodal Learning of Non-English Clinical Texts.
Studies in health technology and informatics
May 18, 2023
Predicting important outcomes in patients with complex medical conditions using multimodal electronic medical records remains challenge. We trained a machine learning model to predict the inpatient prognosis of cancer patients using EMR data with Jap...
Cost supervision mining from EMR based on artificial intelligence technology.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2023
BACKGROUND: To effectively monitor medical insurance funds in the era of big data, the study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle of inpatient cost supervision information system and exploring...
Development and usability evaluation of a bedside robot system for inpatients.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2022
BACKGROUND: Many inpatients become anxious or frightened about scheduled treatment processes, and medical staff do not have sufficient time to provide emotional support. The recent advancement of information and communications technology (ICT) and th...
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