AIMC Topic: Inpatients

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Prediction of Bronchopneumonia Inpatients' Total Hospitalization Expenses Based on BP Neural Network and Support Vector Machine Models.

Computational and mathematical methods in medicine May 18, 2022
OBJECTIVE: BP neural network (BPNN) model and support vector machine (SVM) model were used to predict the total hospitalization expenses of patients with bronchopneumonia.
Humans Neural Networks, Computer Bronchopneumonia Hospitalization Support Vector Machine Inpatients
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An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality.

Academic radiology Apr 4, 2022
RATIONALE AND OBJECTIVES: The burden of coronavirus disease 2019 (COVID-19) airspace opacities is time consuming and challenging to quantify on computed tomography. The purpose of this study was to evaluate the ability of a deep convolutional neural ...
Algorithms Retrospective Studies Tomography, X-Ray Computed Humans COVID-19 Inpatients SARS-CoV-2 Morbidity Lung COVID-19 Testing Deep Learning
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The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

Journal of psychoactive drugs Mar 15, 2022
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview with GPT-users about DSM-IV-dependence-criteria (sedatives), consume-motives and cessation-needs. Among...
Pregabalin Middle Aged Pilot Projects Adolescent Female Opioid-Related Disorders Young Adult Humans Remission, Spontaneous Hypnotics and Sedatives Adult Gabapentin Inpatients Analgesics, Opioid
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Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Unhealthy alcohol use represents a major economic burden and cause of morbidity and mortality in the United States. Implementation of interventions for unhealthy alcohol use depends on the availability and accuracy of screening tools. Our group previ...
Adolescent Algorithms Natural Language Processing Humans United States Hispanic or Latino Young Adult Machine Learning Inpatients Adult
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Outpatient Inpatient Robot-Assisted Radical Prostatectomy: An Evidence-Based Analysis of Comparative Outcomes.

Journal of endourology Jan 5, 2022
To provide a systematic analysis of outcomes comparing outpatient and inpatient robot-assisted radical prostatectomy (RARP) for prostate cancer based on the best available evidence. A comprehensive search of electronic databases (PubMed, Web of Sci...
Prostatectomy Treatment Outcome Inpatients Robotics Humans Prostatic Neoplasms Male Robotic Surgical Procedures Outpatients
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Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients.

Nutrients Dec 17, 2021
Malnutrition is common, especially among older, hospitalised patients, and is associated with higher mortality, longer hospitalisation stays, infections, and loss of muscle mass. It is therefore of utmost importance to employ a proper method for diet...
Meals Energy Intake Image Processing, Computer-Assisted Inpatients Malnutrition Eating Feeding Behavior Aged Nutrition Assessment Diet Humans Artificial Intelligence Hospitalization
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The sustainability of upper limb robotic therapy for stroke survivors in an inpatient rehabilitation setting.

Disability and rehabilitation Dec 14, 2021
PURPOSE: To investigate the sustainability of Robot-assisted upper limb therapy (RT-UL) as part of routine occupational therapy and physiotherapy clinical practice.
Recovery of Function Robotics Robotic Surgical Procedures Humans Inpatients Stroke Rehabilitation Stroke Upper Extremity Survivors
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Application of Deep Learning Technology in Predicting the Risk of Inpatient Death in Intensive Care Unit.

Journal of healthcare engineering Dec 1, 2021
The Intensive Care Unit (ICU) is an important unit for the rescue of critically ill patients in hospitals, and patient mortality is an important indicator to measure the level of ICU treatment. Currently, a variety of clinical scoring systems are use...
Deep Learning Inpatients Technology Humans Intensive Care Units Artificial Intelligence Risk Factors
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Analysis of Influencing Factors on Hospitalization Expenses of Patients with Breast Malignant Tumor Undergoing Surgery: Based on the Neural Network and Support Vector Machine.

Journal of healthcare engineering Nov 24, 2021
OBJECTIVE: Analyze the influencing factors of hospitalization expenses of breast cancer patients in a tertiary hospital in Chengdu and provide a basis and suggestion for controlling the unreasonable increase of medical expenses.
Humans Neural Networks, Computer Female Hospitalization Breast Neoplasms Support Vector Machine Inpatients
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The pilot study of group robot intervention on pediatric inpatients and their caregivers, using 'new aibo'.

European journal of pediatrics Oct 30, 2021
The study on robot-assisted therapy in a pediatric field has not been applied sufficiently in clinical settings. The purpose of this pilot study is to explore the potential therapeutic effects of a group robot intervention (GRI), using dog-like socia...
Child Humans Inpatients Animals Robotics Dogs Pilot Projects Caregivers Social Interaction
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