AIMC Topic: Male

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Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database.

PloS one Sep 17, 2020
Artificial intelligence is increasingly being adopted in medical fields to predict various outcomes. In particular, chronic kidney disease (CKD) is problematic because it often progresses to end-stage kidney disease. However, the trajectories of kidn...
Models, Statistical Proteinuria Male Middle Aged Renal Insufficiency, Chronic Humans Machine Learning Prognosis Female Aged Aged, 80 and over Glomerular Filtration Rate
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Seeing the mind of robots: Harm augments mind perception but benevolent intentions reduce dehumanisation of artificial entities in visual vignettes.

International journal of psychology : Journal international de psychologie Sep 16, 2020
According to moral typecasting theory, good- and evil-doers (agents) interact with the recipients of their actions (patients) in a moral dyad. When this dyad is completed, mind attribution towards intentionally harmed liminal minds is enhanced. Howev...
Humans Intention Social Perception Dehumanization Female Adult Male Robotics
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Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Archives of physical medicine and rehabilitation Sep 16, 2020
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.
Male Surveys and Questionnaires Treatment Outcome Occupational Therapy Disability Evaluation Geriatric Assessment Hip Fractures Physical Therapy Modalities Retrospective Studies Female Aged Rehabilitation Centers Aged, 80 and over Subacute Care Humans Machine Learning
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Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.

Clinical journal of the American Society of Nephrology : CJASN Sep 16, 2020
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow of a kidney biopsy. Deep learning is an effective tool in the elaboration of medical imaging. We wanted to evaluate the role of a convolutional neura...
Complement C1q Immunoglobulin kappa-Chains Immunoglobulin lambda-Chains Kidney Kidney Diseases Area Under Curve Biopsy Fibrinogen Immunoglobulins Complement C3 Fluorescent Antibody Technique, Direct Male Middle Aged ROC Curve Image Processing, Computer-Assisted Neural Networks, Computer Female Humans Aged Adult
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Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study.

Journal of medical Internet research Sep 16, 2020
BACKGROUND: Subtle abnormal motor signs are indications of serious neurological diseases. Although neurological deficits require fast initiation of treatment in a restricted time, it is difficult for nonspecialists to detect and objectively assess th...
Machine Learning Algorithms Female Aged Humans Middle Aged Stroke Neurologic Examination Aged, 80 and over Adult Biomechanical Phenomena Male
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Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up.

Frontiers in endocrinology Sep 16, 2020
Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperative treatment during long-term follow-up; this phenomenon is defined as postoperative delayed remiss...
Male Follow-Up Studies Acromegaly Retrospective Studies Postoperative Period Humans Female Machine Learning Adult Algorithms Sensitivity and Specificity Decision Support Techniques
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EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities.

Computational intelligence and neuroscience Sep 16, 2020
Emotions are fundamental for human beings and play an important role in human cognition. Emotion is commonly associated with logical decision making, perception, human interaction, and to a certain extent, human intelligence itself. With the growing ...
Electroencephalography Humans Classification Adult Machine Learning Male Female Young Adult Adolescent Emotions
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Patient reported outcome measures concerning urinary incontinence after robot assisted radical prostatectomy: development and validation of an online prediction model using clinical parameters, lower urinary tract symptoms and surgical experience.

Journal of robotic surgery Sep 15, 2020
The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (RARP) depends on multiple clinical, anatomical and surgical factors. There are only few risk formulas, tables or nomograms predicting PPI that may ass...
Male Robotics Humans Prostatic Neoplasms Robotic Surgical Procedures Patient Reported Outcome Measures Lower Urinary Tract Symptoms Prostatectomy Urinary Incontinence
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Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.

The Annals of pharmacotherapy Sep 15, 2020
INTRODUCTION: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship be...
Intensive Care Units Female Hospitalization Aged Humans Machine Learning Retrospective Studies Critical Illness Hospital Mortality Aged, 80 and over Bayes Theorem Adult APACHE Male Medication Reconciliation Middle Aged
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Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation.

The American journal of cardiology Sep 15, 2020
Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illustrate the potential use of a semisupervised automated machine-learning (AutoML) pipeline for phenotyping patients who underwent transcatheter aortic va...
Male Phenotype Risk Assessment Female Severity of Illness Index Aged Treatment Outcome Cohort Studies Aged, 80 and over Aortic Valve Stenosis Humans Transcatheter Aortic Valve Replacement Machine Learning
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