AIMC Topic: Data Mining

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EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis.

Sensors (Basel, Switzerland) Jul 20, 2020
Disease diagnosis is a critical task which needs to be done with extreme precision. In recent times, medical data mining is gaining popularity in complex healthcare problems based disease datasets. Unstructured healthcare data constitutes irrelevant ...
Diabetes Mellitus, Type 2 Data Mining Neural Networks, Computer Algorithms Humans
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Extraction of temporal relations from clinical free text: A systematic review of current approaches.

Journal of biomedical informatics Jul 13, 2020
BACKGROUND: Temporal relations between clinical events play an important role in clinical assessment and decision making. Extracting such relations from free text data is a challenging task because it lies on between medical natural language processi...
Machine Learning Data Mining Information Storage and Retrieval Time Electronic Health Records Natural Language Processing
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Toward automatic evaluation of medical abstracts: The current value of sentiment analysis and machine learning for classification of the importance of PubMed abstracts of randomized trials for stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 23, 2020
BACKGROUND: Text mining with automatic extraction of key features is gaining increasing importance in science and particularly medicine due to the rapidly increasing number of publications.
Abstracting and Indexing Pattern Recognition, Automated PubMed Data Mining Humans Deep Learning Randomized Controlled Trials as Topic Machine Learning
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Social media forensics applied to assessment of post-critical incident social reaction: The case of the 2017 Manchester Arena terrorist attack.

Forensic science international Jun 13, 2020
Forensic science is constantly evolving and transforming, reflecting the numerous technological innovations of recent decades. There are, however, continuing issues with the use of digital data, such as the difficulty of handling large-scale collecti...
Terrorism United Kingdom Forensic Sciences Humans Machine Learning Natural Language Processing Data Mining Social Media
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Optimized Attribute Selection Using Artificial Plant (AP) Algorithm with ESVM Classifier (AP-ESVM) and Improved Singular Value Decomposition (ISVD)-Based Dimensionality Reduction for Large Micro-array Biological Data.

Interdisciplinary sciences, computational life sciences Jun 12, 2020
In the tremendous field of the bioinformatics look into, enormous volume of genetic information has been produced. Higher throughput gadgets are made accessible at lower cost made the age of Big data. In a time of developing information multifaceted ...
Computational Biology Support Vector Machine Data Mining Humans Algorithms
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Graph embedded rules for explainable predictions in data streams.

Neural networks : the official journal of the International Neural Network Society Jun 6, 2020
Understanding the reason why a prediction has been made by a machine is crucial to grant trust to a human decision-maker. However, data mining based decision support systems are, in general, not designed to promote interpretability; instead, they are...
Neural Networks, Computer Data Mining
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Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype.

Journal of cardiovascular pharmacology and therapeutics Jun 4, 2020
Despite substantial advances in the study, treatment, and prevention of cardiovascular disease, numerous challenges relating to optimally screening, diagnosing, and managing patients remain. Simultaneous improvements in computing power, data storage,...
Data Mining Diffusion of Innovation Cardiology Therapy, Computer-Assisted Forecasting Diagnosis, Computer-Assisted Deep Learning Humans Machine Learning
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An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining.

Computational intelligence and neuroscience May 31, 2020
Recommendation of a relevant and suitable news article is an essential but a challenging task due to changes in the user interest categories over time. Moreover, the Internet technology provides abundant news articles from a huge amount of resources....
Data Analysis Data Mining Humans Social Media Emotional Intelligence Machine Learning
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Pediatric Acute-Onset Neuropsychiatric Syndrome: A Data Mining Approach to a Very Specific Constellation of Clinical Variables.

Journal of child and adolescent psychopharmacology May 28, 2020
Pediatric acute onset neuropsychiatric syndrome (PANS) is a clinically heterogeneous disorder presenting with: unusually abrupt onset of obsessive compulsive disorder (OCD) or severe eating restrictions, with at least two concomitant cognitive, beha...
Obsessive-Compulsive Disorder Neural Networks, Computer Humans Female Male Child Autoimmune Diseases Anxiety Data Mining
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Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Pharmacological research May 25, 2020
Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system...
Spectrometry, Mass, Electrospray Ionization Animals, Genetically Modified Chromatography, High Pressure Liquid Protein Interaction Maps Tandem Mass Spectrometry Gene Regulatory Networks Workflow Data Mining Systems Biology Biomarkers Diabetes Mellitus Artificial Intelligence Zebrafish Male Rats, Wistar Animals Disease Models, Animal Blood Glucose Drugs, Chinese Herbal Hypoglycemic Agents
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