AIMC Topic: Humans

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Prediction and Prevention Using Deep Learning.

JAMA network open Jul 3, 2019
Deep Learning Humans Algorithms
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Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

JAMA network open Jul 3, 2019
IMPORTANCE: Early palliative care interventions drive high-value care but currently are underused. Health care professionals face challenges in identifying patients who may benefit from palliative care.
Aged, 80 and over Deep Learning Humans Terminal Care Male Patient Selection Dementia Retrospective Studies Middle Aged Registries Palliative Care Female Risk Assessment Aged
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Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.

JAMA network open Jul 3, 2019
IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enh...
Models, Statistical Postoperative Hemorrhage Registries Risk Adjustment Humans Comparative Effectiveness Research Male Machine Learning Percutaneous Coronary Intervention Risk Assessment Clinical Decision Rules Female Coronary Artery Disease United States Aged
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Enhancement of Risk Prediction With Machine Learning: Rise of the Machines.

JAMA network open Jul 3, 2019
Support Vector Machine Humans Percutaneous Coronary Intervention Registries Machine Learning
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Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Sensors (Basel, Switzerland) Jul 3, 2019
Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental condition that affects, among other things, the movement patterns of children suffering it. Inattention, hyperactivity and impulsive behaviors, major symptoms characterizing ...
Attention Deficit Disorder with Hyperactivity Accelerometry Movement Ankle Child Wrist Acceleration Neural Networks, Computer Humans Male Algorithms Case-Control Studies Adolescent Female Wearable Electronic Devices
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Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression.

Journal of medical systems Jul 3, 2019
Nowadays, the most frequent cancer in women is breast cancer (malignant tumor). If breast cancer is detected at the beginning stage, it can often be cured. Many researchers proposed numerous methods for early prediction of this Cancer. In this paper,...
Regression Analysis Biopsy, Fine-Needle Humans Machine Learning Diagnosis, Computer-Assisted Early Detection of Cancer Female Breast Neoplasms
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HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods.

Scientific reports Jul 3, 2019
Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures alone. Herein, we introduce a unique network-based machine learning platform to identify putative food-based cancer-beating molecules. These have bee...
Artificial Intelligence Databases, Factual Diet Neoplasms Humans Metabolic Networks and Pathways Food Antineoplastic Agents Food Analysis Drug Repositioning
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Machine learning approaches to predict lupus disease activity from gene expression data.

Scientific reports Jul 3, 2019
The integration of gene expression data to predict systemic lupus erythematosus (SLE) disease activity is a significant challenge because of the high degree of heterogeneity among patients and study cohorts, especially those collected on different mi...
Humans Machine Learning Gene Expression Lupus Erythematosus, Systemic Gene Expression Regulation Molecular Sequence Annotation ROC Curve Disease Progression Gene Regulatory Networks Gene Expression Profiling Computational Biology Transcriptome
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Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records.

JAMA network open Jul 3, 2019
IMPORTANCE: Inpatient violence remains a significant problem despite existing risk assessment methods. The lack of robustness and the high degree of effort needed to use current methods might be mitigated by using routinely registered clinical notes.
Risk Factors Adult Violence Machine Learning Male Behavior Observation Techniques Middle Aged Hospitals, Psychiatric Electronic Health Records Risk Assessment Prognosis Aggression Female Inpatients Reproducibility of Results Humans Netherlands
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What should medical students know about artificial intelligence in medicine?

Journal of educational evaluation for health professions Jul 3, 2019
Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical prof...
Education, Medical Evidence-Based Medicine Humans Algorithms Artificial Intelligence Biostatistics Machine Learning Students, Medical Diffusion of Innovation
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