AIMC Topic: Humans

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Evaluating classification accuracy for modern learning approaches.

Statistics in medicine Jan 30, 2019
Deep learning neural network models such as multilayer perceptron (MLP) and convolutional neural network (CNN) are novel and attractive artificial intelligence computing tools. However, evaluation of the performance of these methods is not readily av...
Breast Neoplasms Deep Learning Logistic Models Humans Female Probability Biopsy, Fine-Needle Biostatistics Support Vector Machine Decision Trees Discriminant Analysis Leukemia
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A survey of neural network-based cancer prediction models from microarray data.

Artificial intelligence in medicine Jan 30, 2019
Neural networks are powerful tools used widely for building cancer prediction models from microarray data. We review the most recently proposed models to highlight the roles of neural networks in predicting cancer from gene expression data. We identi...
Algorithms Humans Cluster Analysis Neural Networks, Computer Neoplasms Surveys and Questionnaires
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Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2019
BACKGROUND CONTEXT: The severity of the opioid epidemic has increased scrutiny of opioid prescribing practices. Spine surgery is a high-risk episode for sustained postoperative opioid prescription.
Spinal Fusion Analgesics, Opioid Practice Patterns, Physicians' Drug Prescriptions Diskectomy Middle Aged Pain, Postoperative Cervical Vertebrae Adult Male Humans Machine Learning Female
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Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medication.

Journal of substance abuse treatment Jan 30, 2019
BACKGROUND AND OBJECTIVES: Clinical staff providing addiction treatment predict patient outcome poorly. Prognoses based on linear statistics are rarely replicated. Addiction is a complex non-linear behavior. Incorporating non-linear models, Machine L...
Outcome Assessment, Health Care Humans Alcoholism Machine Learning Cognitive Behavioral Therapy Algorithms Pilot Projects Behavior, Addictive Adult Surveys and Questionnaires
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Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.

Medical image analysis Jan 30, 2019
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of memory and other cognitive functions. Currently, many multi-task learning approaches have been proposed to predict the disease progression at the earl...
Alzheimer Disease Computer Simulation Image Processing, Computer-Assisted Female Humans Magnetic Resonance Imaging Machine Learning Aged Predictive Value of Tests Male Disease Progression
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A robust outlier control framework for classification designed with family of homotopy loss function.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2019
We propose a new homotopy loss, where practitioners can tune the parameter to derive different loss functions such as l-norm loss, logarithmic loss, Geman-Reynolds loss, Geman-McClure loss and correntropy-based loss. Moreover, we illustrate that the ...
Machine Learning Algorithms Support Vector Machine Humans
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Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network.

AJR. American journal of roentgenology Jan 30, 2019
OBJECTIVE: Radiology reports are rich resources for biomedical researchers. Before utilization of radiology reports, experts must manually review these reports to identify the categories. In fact, automatically categorizing electronic medical record ...
Electronic Health Records Natural Language Processing Radiology Musculoskeletal Diseases Humans Neural Networks, Computer Artificial Intelligence Databases, Factual
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Deep learning for cell image segmentation and ranking.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 30, 2019
Ninety years after its invention, the Pap test continues to be the most used method for the early identification of cervical precancerous lesions. In this test, the cytopathologists look for microscopic abnormalities in and around the cells, which is...
Humans Neural Networks, Computer Algorithms Female Papanicolaou Test Uterine Cervical Neoplasms Image Processing, Computer-Assisted Deep Learning
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Deep learning for molecular generation.

Future medicinal chemistry Jan 30, 2019
De novo drug design aims to generate novel chemical compounds with desirable chemical and pharmacological properties from scratch using computer-based methods. Recently, deep generative neural networks have become a very active research frontier in d...
Animals Drug Design Drug Discovery Neural Networks, Computer Software Humans Deep Learning
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Could advances in representation learning in Artificial Intelligence provide the new paradigm for data integration in drug discovery?

Expert opinion on drug discovery Jan 30, 2019
Artificial Intelligence Humans Machine Learning Neural Networks, Computer Drug Discovery
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