AIMC Topic: Machine Learning

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Cov_FB3D: A De Novo Covalent Drug Design Protocol Integrating the BA-SAMP Strategy and Machine-Learning-Based Synthetic Tractability Evaluation.

Journal of chemical information and modeling Apr 9, 2020
drug design actively seeks to use sets of chemical rules for the fast and efficient identification of structurally new chemotypes with the desired set of biological properties. Fragment-based design tools have been successfully applied in the disco...
Drug Design Humans Models, Molecular Machine Learning Computer Simulation Enzyme Inhibitors Molecular Conformation
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Machine Learning for Automation of Radiology Protocols for Quality and Efficiency Improvement.

Journal of the American College of Radiology : JACR Apr 9, 2020
PURPOSE: The aim of this study was to enhance multispecialty CT and MRI protocol assignment quality and efficiency through development, testing, and proposed workflow design of a natural language processing (NLP)-based machine learning classifier.
Automation Neural Networks, Computer Machine Learning Natural Language Processing Radiology
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Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

International journal of medical informatics Apr 9, 2020
UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The amount of data processed by cancer registries increases every year, making manual registration more and more tedious.
Humans Machine Learning Data Mining Adenocarcinoma France Prostatic Neoplasms International Classification of Diseases Registries Algorithms Male Incidence
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Challenge of Directly Comparing Imaging-Based Diagnoses Made by Machine Learning Algorithms With Those Made by Human Clinicians.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Apr 9, 2020
Algorithms Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Humans Extranodal Extension Machine Learning
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A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning.

Sensors (Basel, Switzerland) Apr 9, 2020
Total Suspended Solids (TSS) and chlorophyll-a concentration are two critical parameters to monitor water quality. Since directly collecting samples for laboratory analysis can be expensive, this paper presents a methodology to estimate this informat...
Water Quality Image Processing, Computer-Assisted Chlorophyll A Machine Learning Environmental Monitoring Algorithms Remote Sensing Technology Geographic Information Systems
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Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence.

AIDS care Apr 8, 2020
Machine Learning (ML) can improve the analysis of complex and interrelated factors that place adherent people at risk of viral rebound. Our aim was to build ML model to predict RNA viral rebound from medication adherence and clinical data. Patients w...
Humans Machine Learning Algorithms Retrospective Studies HIV Infections Viral Load Anti-HIV Agents Cohort Studies Female Antiretroviral Therapy, Highly Active Adult Switzerland Medication Adherence Assessment of Medication Adherence Male Treatment Outcome CD4 Lymphocyte Count
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Determination of terazosin in the presence of prazosin: Different state-of-the-art machine learning algorithms with UV spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 8, 2020
Counterfeit drugs have adverse effects on public health; chromatographic methods can be used but they are costly. In this study, we developed cost-effective and environmentally friendly methodology for the analysis of terazosin HCl (TZ) in the presen...
Spectrophotometry, Ultraviolet Counterfeit Drugs Prazosin Bayes Theorem Tablets Green Chemistry Technology Neural Networks, Computer Machine Learning Algorithms
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Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.

NeuroImage Apr 8, 2020
The 21st century marks the emergence of "big data" with a rapid increase in the availability of datasets with multiple measurements. In neuroscience, brain-imaging datasets are more commonly accompanied by dozens or hundreds of phenotypic subject des...
Models, Statistical Neuroimaging Neurosciences Humans Machine Learning Big Data
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Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

European radiology Apr 8, 2020
OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined with machine learning (ML) of non-contrast-enhanced T1w and T2w fat-saturated (fs) images with MR elastography (MRE) for liver fibrosis quantification...
Biopsy Elasticity Imaging Techniques Liver Cirrhosis Magnetic Resonance Imaging Liver Male Machine Learning Middle Aged Prospective Studies ROC Curve Female Humans
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Identification of herbal categories active in pain disorder subtypes by machine learning help reveal novel molecular mechanisms of algesia.

Pharmacological research Apr 8, 2020
Chronic pain is highly prevalent and poorly controlled, of which the accurate underlying mechanisms need be further elucidated. Herbal drugs have been widely used for controlling various pain disorders. The systematic integration of pain herbal data ...
Analgesics Molecular Targeted Therapy Plant Preparations Signal Transduction Structure-Activity Relationship Molecular Structure Pharmacopoeias as Topic Pain Threshold Systems Integration Chronic Pain Humans Machine Learning Databases, Factual Animals Protein Interaction Maps Systems Biology
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