AIMC Topic: Machine Learning

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Social networks, machine learning and cladistics in the time of COVID-19.

Cirugia y cirujanos Jan 1, 2020
History, Medieval Plague Betacoronavirus Animals Chiroptera Computational Biology Social Networking Models, Statistical Pandemics Coronavirus Infections COVID-19 Information Dissemination SARS-CoV-2 Humans Pneumonia, Viral Machine Learning
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Identifying main finding sentences in clinical case reports.

Database : the journal of biological databases and curation Jan 1, 2020
Clinical case reports are the 'eyewitness reports' of medicine and provide a valuable, unique, albeit noisy and underutilized type of evidence. Generally, a case report has a single main finding that represents the reason for writing up the report in...
Medical Records Software Natural Language Processing Data Mining Humans Machine Learning
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PTML Modeling for Alzheimer's Disease: Design and Prediction of Virtual Multi-Target Inhibitors of GSK3B, HDAC1, and HDAC6.

Current topics in medicinal chemistry Jan 1, 2020
BACKGROUND: Alzheimer's disease is characterized by a progressive pattern of cognitive and functional impairment, which ultimately leads to death. Computational approaches have played an important role in the context of drug discovery for anti-Alzhei...
Models, Molecular Molecular Structure Alzheimer Disease Protein Kinase Inhibitors Glycogen Synthase Kinase 3 beta Neural Networks, Computer Machine Learning Drug Design Humans Histone Deacetylase 6 Histone Deacetylase Inhibitors Histone Deacetylase 1
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Artificial Neural Networks in Computer-Aided Drug Design: An Overview of Recent Advances.

Advances in experimental medicine and biology Jan 1, 2020
Computer-aided drug design (CADD) is the framework in which the huge amount of data accumulated by high-throughput experimental methods used in drug design is quantitatively studied. Its objectives include pattern recognition, biomarker identificatio...
Neural Networks, Computer Machine Learning Quantitative Structure-Activity Relationship Algorithms Chemistry, Pharmaceutical Computers Drug Design
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Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.

Advances in experimental medicine and biology Jan 1, 2020
There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagnostic biomarkers. Like the majority of diseases, the earlier the diagnosis, the most effective the treatment. (Semi)-automated structural magnetic res...
Diagnostic Techniques, Neurological Support Vector Machine Magnetic Resonance Imaging Bayes Theorem Alzheimer Disease Multivariate Analysis Case-Control Studies Diagnosis, Computer-Assisted Cognitive Dysfunction Machine Learning Brain Humans
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Antibody Clustering Using a Machine Learning Pipeline that Fuses Genetic, Structural, and Physicochemical Properties.

Advances in experimental medicine and biology Jan 1, 2020
Antibody V domain clustering is of paramount importance to a repertoire of immunology-related areas. Although several approaches have been proposed for antibody clustering, still no consensus has been reached. Numerous attempts use information from g...
Cluster Analysis Amino Acid Sequence Molecular Conformation Machine Learning Antigen-Antibody Complex Complementarity Determining Regions
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Using Reduced Amino Acid Alphabet and Biological Properties to Analyze and Predict Animal Neurotoxin Protein.

Current drug metabolism Jan 1, 2020
AIMS: Because of the high affinity of these animal neurotoxin proteins for some special target site, they were usually used as pharmacological tools and therapeutic agents in medicine to gain deep insights into the function of the nervous system.
Animals Proteins Amino Acids Machine Learning Neurotoxins
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A Machine Learning Approach to Identification of Unhealthy Drinking.

Journal of the American Board of Family Medicine : JABFM Jan 1, 2020
INTRODUCTION: Unhealthy drinking is prevalent in the United States, and yet it is underidentified and undertreated. Identifying unhealthy drinkers can be time-consuming and uncomfortable for primary care providers. An automated rule for identificatio...
Female Humans Adult Mass Screening Machine Learning Support Vector Machine Male Alcohol Drinking Logistic Models Nutrition Surveys United States
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Advanced Applications of Soft Computing Research.

Current medical imaging Jan 1, 2020
Research Fuzzy Logic Neural Networks, Computer Humans Machine Learning Algorithms
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Location detection of key areas in medical images based on Haar-like fusion contour feature learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Key area location is an important content of medical image processing and an important detail of auxiliary medical diagnosis.
Humans Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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