AIMC Topic: Decision Trees

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Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.

Computational and mathematical methods in medicine Nov 30, 2021
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...
Humans Spatio-Temporal Analysis Computational Biology Machine Learning Decision Trees Data Mining China Geographic Information Systems Social Media Travel Big Data Seasons Social Networking Cities
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A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging.

Computational and mathematical methods in medicine Nov 27, 2021
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symptoms such as chest pain and dyspnea, and comorbidity related to cardiovascular diseases. Usually, these variables are analyzed by logistic regression ...
Aged Male Middle Aged Cohort Studies Coronary Artery Disease Machine Learning Myocardial Ischemia Humans Predictive Value of Tests Algorithms Myocardial Perfusion Imaging Female Bayes Theorem Computational Biology Positron Emission Tomography Computed Tomography Logistic Models Exercise Test Support Vector Machine Decision Trees
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Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms.

Computational and mathematical methods in medicine Nov 16, 2021
Keratoconus is a noninflammatory disease characterized by thinning and bulging of the cornea, generally appearing during adolescence and slowly progressing, causing vision impairment. However, the detection of keratoconus remains difficult in the ear...
Databases, Factual Computer Simulation Cornea Severity of Illness Index Computational Biology Logistic Models Support Vector Machine Decision Trees Humans Neural Networks, Computer Machine Learning Algorithms Keratoconus Bayes Theorem Early Diagnosis Linear Models
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Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches.

Computational and mathematical methods in medicine Nov 15, 2021
A vast amount of data is generated every second for microblogs, content sharing via social media sites, and social networking. Twitter is an essential popular microblog where people voice their opinions about daily issues. Recently, analyzing these o...
Bayes Theorem Social Networking Decision Trees Social Media Databases, Factual Natural Language Processing SARS-CoV-2 Disinformation Deep Learning Humans Computational Biology Neural Networks, Computer Logistic Models COVID-19 Support Vector Machine Algorithms Models, Statistical
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Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding.

PloS one Nov 8, 2021
Versatile video coding (VVC) achieves enormous improvement over the advanced high efficiency video coding (HEVC) standard due to the adoption of the quadtree with nested multi-type tree (QTMT) partition structure and other coding tools. However, the ...
Algorithms Support Vector Machine Decision Trees Video Recording Data Compression Statistical Distributions Communications Media Machine Learning Software
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Building a predictive model to assist in the diagnosis of cervical cancer.

Future oncology (London, England) Nov 3, 2021
Cervical cancer is still one of the most common gynecologic cancers in the world. Since cervical cancer is a potentially preventive cancer, earlier detection is the most effective technique for decreasing the worldwide incidence of the illness. Thi...
Humans Cross-Sectional Studies Logistic Models Decision Trees Probability Machine Learning Algorithms Female Uterine Cervical Neoplasms
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Efficient Prediction of Missed Clinical Appointment Using Machine Learning.

Computational and mathematical methods in medicine Oct 22, 2021
Public health and its related facilities are crucial for thriving cities and societies. The optimum utilization of health resources saves money and time, but above all, it saves precious lives. It has become even more evident in the present as the pa...
Databases, Factual Computational Biology Logistic Models Support Vector Machine Neural Networks, Computer Machine Learning Algorithms Appointments and Schedules No-Show Patients Stochastic Processes Decision Trees Area Under Curve Data Interpretation, Statistical Bayes Theorem Humans
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Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed.

Water environment research : a research publication of the Water Environment Federation Oct 4, 2021
Stream waters play a crucial role in catering to the world's needs with the required quality of water. Due to the discharges of wastewater from the various point and nonpoint sources, most of the watersheds are contaminated easily. The Upper Green Ri...
Decision Trees Water Quality Rivers Machine Learning Algorithms Environmental Monitoring
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Optimization of running-in surface morphology parameters based on the AutoML model.

PloS one Oct 4, 2021
Running-in is an important and relatively complicated process. The surface morphology prior to running-in affects the surface morphology following the running-in process, which in turn influences the friction and wear characteristics of the workpiece...
Machine Learning Friction Lubrication Decision Trees Materials Testing Oils Surface Properties Forecasting Computer Simulation Support Vector Machine
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Artificial neural network and decision tree models of post-stroke depression at 3 months after stroke in patients with BMI ≥ 24.

Journal of psychosomatic research Oct 2, 2021
OBJECTIVE: Previous studies have shown that excess weight (including obesity and overweight) can increase the risk of cardiovascular, cerebrovascular and other diseases, but there is no study on the incidence of post-stroke depression (PSD) and relat...
Decision Trees Humans Neural Networks, Computer Prospective Studies Depression Cohort Studies Body Mass Index
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