Titlebook: Brain Informatics; 13th International C Mufti Mahmud,Stefano Vassanelli,Ning Zhong Conference proceedings 2020 Springer Nature Switzerland

capsule

Connecting Peripherals to Your Macbetter than classifiers trained using only demographic variables. Among all 6 feature sets, combining demographic variables and all three cortical morphological measures yielded the best prediction accuracy, with area under the receiver operating characteristic curve (ROC AUC) scores ranging from 0.

Peak-Bone-Mass

Connecting Peripherals to Your Maclity of smartphones for assessing motor impairments (i.e. tremors and gait) that can be analyzed from accelerometer sensor data. We obtained 98.5% detection accuracy and 91% UPDRS labeling accuracy for 52 PD patients and 20 healthy subjects. The result of this study indicates a great promise for dev

尊敬

An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder complaints. For three other types of individuals, targeting two emotional states was not sufficient to reduce pain and other complaints. The computational model can address large individual differences and supports the claim that interventions for GPPPD should be multidisciplinary.

HAVOC

0302-9743 information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing..978-3-030-59276-9978-3-030-59277-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

浮雕

GOAT

https://doi.org/10.1007/978-3-540-31283-3ugh the ADNI dataset, preprocessed 3D MR images from four subject groups (i.e., AD, healthy control, early MCI, and late MCI) were acquired to perform experiments. In the tests, the proposed approach yields better results than other state-of-the-art methods dealing with 3D MR images.

BUCK

Flatus

The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordinatifor human-machine cooperation’s. Understanding the effect of loss aversion in the context of divergent interest tacit coordination games may enable the construction of better algorithms for human-machine interaction that could more accurately predict human decision behavior under uncertainty.

柱廊

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