AIMC Topic: Inpatients
Clear Filters Showing 111 to 120 of 122 articles
Machine learning for initial insulin estimation in hospitalized patients.
Journal of the American Medical Informatics Association : JAMIA
Sep 18, 2021
OBJECTIVE: The study sought to determine whether machine learning can predict initial inpatient total daily dose (TDD) of insulin from electronic health records more accurately than existing guideline-based dosing recommendations.
Machine Learning for Predictive Modeling of 90-day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion.
Spine
Aug 15, 2020
STUDY DESIGN: Retrospective case control study.
Discussion on: The paradox of the robotic approach to inguinal hernia repair in the inpatient setting.
American journal of surgery
Mar 1, 2020
The Purpose of Bedside Robots: Exploring the Needs of Inpatients and Healthcare Professionals.
Computers, informatics, nursing : CIN
Jan 1, 2020
Robotic systems are used to support inpatients and healthcare professionals and to improve the efficiency and quality of nursing. There is a lack of scientific literature on how applied robotic systems can be used to support inpatients. This study us...
Predicting Inpatient Length of Stay After Brain Tumor Surgery: Developing Machine Learning Ensembles to Improve Predictive Performance.
Neurosurgery
Sep 1, 2019
BACKGROUND: Current outcomes prediction tools are largely based on and limited by regression methods. Utilization of machine learning (ML) methods that can handle multiple diverse inputs could strengthen predictive abilities and improve patient outco...
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate nutrient intake have been developed, there is still a clear demand for ...
Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.
Journal of psychiatric practice
Jul 1, 2019
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD) also met criteria for the other diagnosis. Yet limited data are available concerning the potential...
Clinical features of patients who might benefit more from walking robotic training.
Restorative neurology and neuroscience
Jan 1, 2018
BACKGROUND: Robotic walking training improves probability to reach an autonomous walking in non-ambulant patients affected by subacute stroke. However, little information is available regarding the prognostic factors for identifying best responder pa...
Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines.
Computers, informatics, nursing : CIN
Aug 1, 2017
We constructed a model using a support vector machine to determine whether an inpatient will suffer a fall on a given day, depending on patient status on the previous day. Using fall report data from our own facility and intensity-of-nursing-care-nee...
Finding 'Evidence of Absence' in Medical Notes: Using NLP for Clinical Inferencing.
Studies in health technology and informatics
Jan 1, 2016
Extracting evidence of the absence of a target of interest from medical text can be useful in clinical inferencing. The purpose of our study was to develop a natural language processing (NLP) pipelineto identify the presence of indwelling urinary cat...
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