AIMC Topic: Humans

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Ten Ways Artificial Intelligence Will Transform Primary Care.

Journal of general internal medicine May 14, 2019
Artificial intelligence (AI) is poised as a transformational force in healthcare. This paper presents a current environmental scan, through the eyes of primary care physicians, of the top ten ways AI will impact primary care and its key stakeholders....
Humans Artificial Intelligence Risk Assessment Primary Health Care
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A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting.

Biometrical journal. Biometrische Zeitschrift May 14, 2019
Propensity score matching (PSM) and propensity score weighting (PSW) are popular tools to estimate causal effects in observational studies. We address two open issues: how to estimate propensity scores and assess covariate balance. Using simulations,...
Biometry Multivariate Analysis Propensity Score Monte Carlo Method Observational Studies as Topic Labor, Induced Humans Machine Learning Pregnancy Female Cesarean Section
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Hypothesis: Is "Terminator Syndrome" a Barrier to Democratizing Artificial Intelligence and Public Engagement in Digital Health?

Omics : a journal of integrative biology May 14, 2019
Delivery of Health Care Public Health Telemedicine Humans Artificial Intelligence
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Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network.

Geospatial health May 14, 2019
Leptospirosis is a zoonotic disease found wherever human is in direct or indirect contact with contaminated water and environment. Considering the increasing number of cases of this disease in the northern part of Iran, identifying areas characterize...
Leptospirosis Spatial Analysis Environment Risk Factors Models, Statistical Incidence Iran Humans Support Vector Machine Machine Learning
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Screening and Diagnosis of Chronic Pharyngitis Based on Deep Learning.

International journal of environmental research and public health May 14, 2019
Chronic pharyngitis is a common disease, which has a long duration and a wide range of onset. It is easy to misdiagnose by mistaking it with other diseases, such as chronic tonsillitis, by using common diagnostic methods. In order to reduce costs and...
Pharyngitis Humans Neural Networks, Computer Chronic Disease
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DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks.

Scientific reports May 14, 2019
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed conventional algorithms in comput...
Deep Learning Biofilms Proteins Neural Networks, Computer Software Data Mining Gene Ontology Pseudomonas Infections Bacterial Proteins Models, Biological Pseudomonas aeruginosa Humans
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Machine learning to refine decision making within a syndromic surveillance service.

BMC public health May 14, 2019
BACKGROUND: Worldwide, syndromic surveillance is increasingly used for improved and timely situational awareness and early identification of public health threats. Syndromic data streams are fed into detection algorithms, which produce statistical al...
England Sentinel Surveillance Algorithms Decision Making Humans Risk Assessment Bayes Theorem Machine Learning Public Health
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Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks.

BMC infectious diseases May 14, 2019
BACKGROUND: Establishing epidemiological models and conducting predictions seems to be useful for the prevention and control of human brucellosis. Autoregressive integrated moving average (ARIMA) models can capture the long-term trends and the period...
Models, Statistical Seasons Recurrence China Incidence Brucellosis Jordan Humans Neural Networks, Computer
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Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope.

EBioMedicine May 14, 2019
BACKGROUND: Skin cancer (SC), especially melanoma, is a growing public health burden. Experimental studies have indicated a potential diagnostic role for deep learning (DL) algorithms in identifying SC at varying sensitivities. Previously, it was dem...
Adolescent ROC Curve Image Processing, Computer-Assisted Aged Female Middle Aged Aged, 80 and over Deep Learning Medical Informatics Skin Neoplasms Young Adult Adult Humans Dermoscopy Sensitivity and Specificity Male Algorithms
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Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients.

IEEE journal of biomedical and health informatics May 13, 2019
Estimating hospital mortality of patients is important in assisting clinicians to make decisions and hospital providers to allocate resources. This paper proposed a multi-task recurrent neural network with attention mechanisms to predict patients' ho...
Humans Neural Networks, Computer Electronic Health Records Female Aged Male Middle Aged Hospital Mortality
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