AIMC Topic: Risk

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Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.

Research synthesis methods Mar 3, 2020
BACKGROUND: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can...
Machine Learning Software Reproducibility of Results Sensitivity and Specificity Humans Outcome Assessment, Health Care Observer Variation Pattern Recognition, Automated Risk Risk Assessment Health Policy Randomized Controlled Trials as Topic Bias
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A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators.

Scientific reports Feb 20, 2020
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for patients in stable phase. Currently, there is a lack of assessment and pre...
Humans Machine Learning Algorithms Decision Trees False Positive Reactions Risk Male Middle Aged Disease Progression Comorbidity ROC Curve Prognosis Decision Support Systems, Clinical Female Aged Inflammation Reproducibility of Results Aged, 80 and over Models, Statistical Hospitalization Adult Pulmonary Disease, Chronic Obstructive
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Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk.

Scientific reports Jan 24, 2020
To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretability of attention-based models is leveraged to describe patients-at-risk. Several ...
Patient Readmission Odds Ratio Medical Records Systems, Computerized Risk Disease Progression Deep Learning Chronic Disease Bayes Theorem Humans Neural Networks, Computer Algorithms Forecasting Communicable Diseases Intensive Care Units Sensitivity and Specificity
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Attribute selection using correlations and principal components for artificial neural networks employment for landslide susceptibility assessment.

Environmental monitoring and assessment Jan 21, 2020
Landslide susceptibility maps can be developed with artificial neural networks (ANNs). In order to train our ANNs, a digital elevation model (DEM) and a scar map of one previous event were used. Eleven attributes are generated, possibly containing re...
Landslides Neural Networks, Computer Algorithms Environmental Monitoring Risk
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Harnessing the Power of Deep Learning to Assess Breast Cancer Risk.

Radiology Dec 17, 2019
Mammography Risk Breast Density Machine Learning Deep Learning
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Representation learning in intraoperative vital signs for heart failure risk prediction.

BMC medical informatics and decision making Dec 9, 2019
BACKGROUND: The probability of heart failure during the perioperative period is 2% on average and it is as high as 17% when accompanied by cardiovascular diseases in China. It has been the most significant cause of postoperative death of patients. Ho...
Intraoperative Complications Area Under Curve Heart Failure Risk Vital Signs China Monitoring, Intraoperative Decision Trees Humans Neural Networks, Computer Machine Learning Sensitivity and Specificity Risk Assessment
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Making the 'invisible' visible: transforming the detection of intimate partner violence.

BMJ quality & safety Nov 20, 2019
Humans Prevalence Artificial Intelligence Probability Electronic Health Records Diagnosis, Computer-Assisted Female Risk Adolescent Adult Wounds and Injuries Radiology Male Intimate Partner Violence Middle Aged
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Machine-learning-derived rules set excludes risk of Parkinson's disease in patients with olfactory or gustatory symptoms with high accuracy.

Journal of neurology Nov 1, 2019
BACKGROUND: Chemosensory loss is a symptom of Parkinson's disease starting already at preclinical stages. Their appearance without an identifiable etiology therefore indicates a possible early symptom of Parkinson's disease. Supervised machine-learni...
Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Humans Middle Aged Olfaction Disorders Machine Learning Case-Control Studies Taste Disorders Prospective Studies Female Adolescent Parkinson Disease Age of Onset Risk
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Election forensics: Using machine learning and synthetic data for possible election anomaly detection.

PloS one Oct 31, 2019
Assuring election integrity is essential for the legitimacy of elected representative democratic government. Until recently, other than in-person election observation, there have been few quantitative methods for determining the integrity of a democr...
Democracy Machine Learning Risk Forensic Sciences
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A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data.

BMC medical genomics Oct 30, 2019
BACKGROUND: Dementia with Lewy bodies (DLB) is the second most common subtype of neurodegenerative dementia in humans following Alzheimer's disease (AD). Present clinical diagnosis of DLB has high specificity and low sensitivity and finding potential...
bcl-X Protein Female Aged MicroRNAs Dementia Male Humans Phosphatidylinositol 3-Kinases Polymorphism, Single Nucleotide Case-Control Studies Machine Learning Lewy Body Disease Genetic Association Studies Biomarkers Risk Signal Transduction
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