AIMC Topic: Inpatients
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Feasibility and efficacy of a robotic device for hand rehabilitation in hemiplegic stroke patients: a randomized pilot controlled study.
Clinical rehabilitation
Jul 10, 2016
OBJECTIVE: The purpose of the study was to evaluate the feasibility and efficacy of robot-assisted hand rehabilitation in improving arm function abilities in sub-acute hemiplegic patients.
Quantitative Evaluation of Performance during Robot-assisted Treatment.
Methods of information in medicine
Dec 7, 2015
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "Methodologies, Models and Algorithms for Patients Rehabilitation".
POETenceph - Automatic identification of clinical notes indicating encephalopathy using a realist ontology.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Identifying inpatients with encephalopathy is important. The disorder is prevalent, often missed, and puts patients at risk. We describe POETenceph, natural language processing pipeline, which ranks clinical notes on the extent to which they indicate...
Predicting inpatient stay lasting 2 midnights or longer after robotic surgery for endometrial cancer.
Journal of minimally invasive gynecology
Jan 5, 2015
OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after robotic surgery for endometrial cancer following the change in the Medicare definition of "inpatient" to include hospitalization spanning 2 midnights.
RIPTOSO: The development of a screening tool for adverse events during forensic-psychiatric inpatient treatments of offenders with schizophrenia spectrum disorders.
Psychiatry research
Aug 1, 2025
Adverse events such as compulsory measures, absconding, illicit substance use, self-harm, aggressive behavior, and prolonged hospitalization pose significant challenges in forensic psychiatric inpatient care. This study introduces a machine learning-...
Gray Matter Differences in Adolescent Psychiatric Inpatients: A Machine Learning Study of Bipolar Disorder and Other Psychopathologies.
Brain and behavior
Jun 1, 2025
BACKGROUND: Bipolar disorder (BD) is among the psychiatric disorders most prone to misdiagnosis, with both false positives and false negatives resulting in treatment delay. We employed a whole-brain machine learning approach focusing on gray matter v...
A highly scalable deep learning language model for common risks prediction among psychiatric inpatients.
BMC medicine
May 28, 2025
BACKGROUND: There is a lack of studies exploring the performance of Transformers-based language models in common risks assessment among psychiatric inpatients. We aim to develop a scalable risk assessment model using multidimensional textualized data...
Rapid Response System Restructure: Focus on Prevention and Early Intervention.
Critical care nursing quarterly
May 13, 2025
This article describes the staged restructure of the rapid response program into a dedicated 24/7 proactive rapid response system in a quaternary academic medical center in the southern United States. Rapid response nurses (RRNs) completed clinical l...
Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients.
BMC geriatrics
May 9, 2025
BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly population being particularly vulnerable. Research into suicide risk factors among elderly inpatients with non-psychiatric disorders remains limited. This inve...
Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.
Scientific reports
May 8, 2025
An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation, to their families, and healthcare providers. This study aimed at developing and validating externally patient-wise prognostic models of the global fu...
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