decision-makingdifferential diagnosis.We discuss the Psychiatric Expert differential Diagnosis Systems, PEDDS, which can be used to dynamically determine a given diagnosis, given a patient's psychiatric symptoms. Prototype implements a psychotic disorder decision tree from the Americal Psychiatric ...
在调查人群中，创业人群存在明显的睡眠障碍，竞争的压力和不确定性更会加剧焦虑；有的受访者表示，“睡了却依然疲惫”。现代人在享受现代化红利的同时，也承受着现代生活带来的压力和焦虑。“感觉身体被掏空”成为网络流行语，“亚健康”成为越来越多人的担忧，而“累”则曾经当选为年度汉字……这些问题与睡眠问题...
To install by patching, get all the newer patch files, enter the top level directory of the kernel source (linux-4.X) and execute: xz -cd ../patch-4.x.xz | patch -p1 Replace "x" for all versions bigger than the version "X" of your current source tree, _in_order_, and you ...
but are not limited to, a decision tree; a gradient boosted tree, gradient boosted machine; boosted stumps; a random forest; a support vector machine; a neural network; logistic regression (with regularization), linear regression (with regularization); stacking; a Markov model; support vector mac...
The developed CNN outperformed the other machine-learning algorithms, including the decision tree algorithm, the rule induction algorithm, and the Bayes Net algorithm. The authors recommended investigating other machine-learning approaches, such as deep learning, using more complex features such as videos...
Journal of Intelligence Article Five-Factor Model and DSM-5 Alternative Model of Personality Disorder Profile Construction: Associations with Cognitive Ability and Clinical Symptoms Chloe Lau 1,2,* , R. Michael Bagby 3, Bruce G. Pollock 1 and Lena Quilty 1,4 1 Centre for Addiction and Mental ...
Experimental Setup BAG-DSM was evaluated with 43 decision models: the real-life model depicted in Figure 5, and the 42 benchmark models summarized in Table 1. The real-life model demonstrates the utility of BAG-DSM in a real-life scenario. With this model, 23 different randomly sampled ...
The ndpiReader program now uses an ordinary binary tree but not the better self-balancing trees like the red-black tree to maintain flows. We run the ndpiReader program 15 times for each dataset, discard the first 5 runs whose result may not be stable yet (since the program has large ...
(5) where 𝐹(𝑥̲)Fx¯ is the output of the model for the specific alternative. By optimizing 𝑓f, the method searches for alternatives that are as similar as possible to 𝑐̲c¯ and improve the output of the decision model (...