Predicting alcohol outcomes using EEG data
Predicting Hackathon Outcomes Using Machine Learning (Data Analytics)
... apply Data Analysis to understand and prepare hackathon data, accompanied by Machine Learning approaches for hackathon outcome ...initial Data Analysis gave us a lot of insights about hackathon ...
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Data stream mining for predicting software build outcomes using source code metrics
... typical data mining process has four main ...of data that will be used by the mining ...relevant data from multiple sources and producing a single ...Jazz data and consisted of the selection ...
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Predicting clinical outcomes in neuroblastoma with genomic data integration
... the data in an unsupervised manner, we used an integrative clustering strategy named multi-view kernel k-means (MVKKM) that can effectively integrate multiple high-dimensional datasets with varying ...to ...
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Predicting drinking outcomes : Evidence from the United Kingdom Alcohol Treatment Trial (UKATT)
... the data. (Cook et al., 2015a, b). All outcomes used self-reported measures which have their own limitations with regards to recall and potential associated ...treatment outcomes we have attempted to ...
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Using Conversation Topics for Predicting Therapy Outcomes in Schizophrenia
... 1 Cognitive Science research group, School of electronic engineering and Computer Science. 2 Barts and the London School of Medicine Queen Mary University of London, London, UK. Corresponding authors email: ...
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Understanding language elicited EEG data by predicting it from a fine tuned language model
... By using multitask learning as a method of characterization, we have found some expected relationships (LAN+P600 and ELAN+P600) and several more surprising re- ...of data (eye-tracking, self-paced reading, ...
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Predicting Alcohol And Substance Abuse Treatment Outcomes Among Hispanic And African American Substance Abusers
... Procedures Data collection was tailored for each individual data collection site to ensure the least amount of intrusion into normal operating procedures. Staff members were identified who could provide ...
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Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments
... the EEG data as shown in Figure 9 (example shown for one subject but similar artifacts were observed for other subjects ...example using independent component analysis), we chose not to in order to ...
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Predicting Outcomes of Chess Endgames Using Machine Learning Algorithms
... III. PROPOSED WORK By using data mining techniques predicting the outcome of the chess endgames is a time consuming task. So in the proposed system we will use different supervised classification ...
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Predicting Student Outcomes Using Discriminant Function Analysis. Abstract
... The use of either method is basically the same. For each group, a function is computed for each case. For these data, three different functions result for each case. Whichever function is largest determines into ...
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Predicting Desired Outcomes from Applicants Medical School Admission Data
... CHAPTER 3 RESEARCH METHODOLOGY Introduction This is an ex post facto study using data from the Quillen College of Medicine at East Tennessee State University. Every applicant to the medical school completes ...
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Predicting the Alzheimer’s disease using data fusion
... Redkeje lahko zasledimo uporabo signalov EEG. Signali v surovi obliki niso primerni za obdelavo, saj vsebujejo preveˇ c ˇ suma. V [23] so izmerili signale EEG na 19 lokacijah na glavi in jih s Fourierjevo ...
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Using EEG data to predict engagement in face-to-face conversations
... Potential Use of a Neurological Engagement Measure in Communication The discovery of a neurological engagement measure during communication would build on the current knowledge regarding executive functions during ...
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Predicting epileptic seizure from Electroencephalography (EEG) using hilbert huang transformation and neural network
... The EEG records can easily display these electrical discharges as a rapid change in potential differences in real ...use EEG records to investigate suspected seizure phenomena [1-7, ...neurologist ...
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Alcohol intake and periodontal outcomes
... conducted using de-identified data from cycle one, in which a total of 1,231 participants were enrolled in the original cohort to complete oral examinations and ...on alcohol intake, participants ...
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Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling
... patient data, can be used to make predictions and give mechanistic ...surgical outcomes and compared these to actual patient ...unsuccessful outcomes, the proposed computational approach is able to ...
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Predicting Software Revision Outcomes on Github Using Structural Holes Theory
... network data such as the structural holes measures generate quantitative, accountable, yet comprehensible insights for organizations to support their business decisions and to foster better managerial practices? ...
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Predicting carer health effects using patient data
... Obtaining data on carers’ outcomes in addition to patients’ outcomes as part of a clinical trial, or an observational study, is an obvious way of building carer outcomes into economic ...carer ...
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Predicting Child's Health using Big Data Analytics
... Big Data analytics in healthcare deals with analysis of huge sets of electronic health records which are so complex that they cannot be maintained or analysed by traditional data processing ...Big ...
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PREDICTING STOCK PRICES USING DATA MINING TECHNIQUES
... Recently, data mining techniques and artificial intelligence techniques like decision trees, rough set approach, and artificial neural networks have been applied to this area ...[8]. Data mining [9] refers ...
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