… receive a targeted treatment matched to the mutation identified (A: … Method: We present a
response-adaptive method, using a … Results will inform a decision-model based economic evalu…

… local naïve Bayes brain network model based on graph theory. Our … We found that at a
particular value of the model parameter η … clustering coefficient that exactly matched the clustering …

… spinal trigeminal nucleus, we first established a rat model of … using Significance Analysis of
Microarrays software by cluster … Model-based analysis of oligonucleotide arrays: expression …

… The unbiased tool of PCA was used to detect the intrinsic clustering. Then, the supervised …
identified by hot plate and found that JLZ and its two single herbs inhibit the pain response in …

… in patients with depressive disorder using identified associated … The risk score prediction
model based on Logistic regression … Attempted suicide risk factors in major depressive disorder …

… DHCs, as identified using the tertiary-wide and clusterbased EHR records as … We sought to
identify individuals who can receive the … In particular, a non-regression model-based optimal …

… the local area to develop a recommendation model based on the similarity of geospatial and
… Important correlates of purpose in life identified through a machine learning approach. The …

… 病 性(comorbidity)强, 几乎2/3 的重性抑郁障碍 (major depressive disorder) 患者共患焦虑
障碍 … The interaction of acute and chronic stress impairs model-based behavioral control. …

… RRP were found to use more physical abusive methods to discipline children at the follow-up …
fit model based on data from families with an improvement in cohesion, and here are the …

… Abstract We propose a depression classification model of deep neural network to solve …
depression related scale. By combining principal component k-means algorithm (PC k-means),…