[PDF] Top 20 Detection of cognitive impairment using a machine-learning algorithm

... the algorithm using the KDSQ to detect the CI was ...the algorithm did not improve in the detection of CI; however, the specificity improved ...This algorithm exhibited a higher ... See full document

... ranking algorithm, a credibility assessment classifiers engine, and a user expertise ...the machine learning methods: Naive Bayes, Neural Network, Support vector machine, are very good at ... See full document

... Anomaly-based detection that compares current user activities against predefined profiles is used to detect abnormal behaviors that might be ...Anomaly-based detection is effective against unknown attacks ... See full document

... Intrusion detection systems are used for this purpose. An intrusion detection system can alert administrators of malicious ...intrusion detection systems need a lot of manual ...intrusion ... See full document

... Urbanization leads to significant impact on the condition of our urban ecosystem [1]. At a broad level, urban areas act as epicenter for growth and drive the development of rural and semi-urban areas. In due course of ... See full document

... can workout at any platform without any disruption. Cloud computing is reliable, flexible and thus facilitates us in such a way that we can gain any sort of information from anywhere at any time. Although Cloud Computing ... See full document

... In this paper IoT based vehicle smash detection and rescue in order system is developed. This is old to discover the vehicle mistake and send out the place in rank of the calamity residence to vehicle owner, ... See full document

... Machine learning calculations can ingest extensive quantities of authentic patient records, and use them to catch staggeringly unobtrusive examples that may show the nearness of psychological ...disorders. ... See full document

... fire detection systems are useful, where point sensors may leads to failure in ...estimation algorithm for fire recognition and ...fire detection in images and video’s is particularly applicable in ... See full document

... many machine learning techniques that may be supervised, reinforcement or unsupervised depending on absence or presence of data while ...contains machine learning ...for machine ... See full document

... URL detection plays a serious role for many cyber security applications, and networking ...URL detection by using machine learning algorithm called logistic regression, it ... See full document

... is Machine Learning (ML) based tool that takes in document and highlights anomalies in the ...use machine learning algorithms to pick up unordinary sentences for ... See full document

... The machine learning algorithms specified in this paper are naïve bayes, rule induction, decision trees, nearest ...easier algorithm as compared to KNN and ...tree algorithm are that they ... See full document

... useful machine- learning algorithms are to extract classificatory information, and 2) how this method helps the understanding of the various types of mechanisms which may separate patients from ...the ... See full document

... and algorithm definition. Although we selected “standard” cognitive tests and segmentation/parcellation atlases, and 2 basic machine-learning algorithms, we cannot rule out the possibility that ... See full document

... data using Machine Learning (ML) ...Theory using effective Cognitive Computation Approach ...techniques using efficient Supervised Machine Learning ...implementing ... See full document

... A large number of malicious attacks have been reported in recent days. Machine learning can be another approach to deal with evolving malicious attacks. In this paper, Random Forest algorithm has ... See full document

... respond using an arbitrary rule with the following mapping: Green – Top, Red – Right, Blue – Bottom, and Yellow – ...sequence learning task is called a 2 x 6 ... See full document

... Crucially, we have also performed “relevant feature analysis” for all three GMLVQ classifiers: the baseline GMLVQ classifier, the best fMRI-guided GMLVQ classifier, and the fMRI GMLVQ classifier. For the baseline ... See full document

... AlphaGo’s algorithm uses a Monte Carlo tree search to find its moves based on knowledge previously “learned” by machine learning, specifically by a deep neural network and reinforcement ... See full document