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Interpretable multi-label classification model for predicting post-anesthesia care unit complications: a prospective cohort study. [PDF]

BMC Anesthesiol
Ma G, Yan W, Zhao Z, Li Y, Wang L.
europepmc   +1 more source

The Criticality of Consciousness: Excitatory-Inhibitory Balance and Dual Memory Systems in Active Inference. [PDF]

Entropy (Basel)
Tucker DM, Luu P, Friston KJ.
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Development and validation of a mortality risk prediction model for chronic obstructive pulmonary disease: a cross-sectional study using probabilistic graphical modelling. [PDF]

EClinicalMedicine
Lovelace TC, Ryu MH, Jia M, Castaldi P, Sciurba FC, Hersh CP, Benos PV.   +6 more
europepmc   +1 more source

Immune checkpoint inhibitors-based therapies for first-line treatment of advanced ovarian cancer with non-BRCAm/HRD-negative: a cost-effectiveness analysis. [PDF]

J Ovarian Res
Zhu Y, Zhou X, Liu K, Zhu H.
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Efficient Learning of Markov Blanket and Markov Blanket Classifier

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Error-aware Markov blanket learning for causal feature selection

Information Sciences, 2022
Causal feature selection has attracted much attention in recent years, since it has better robustness than the traditional feature selection. Existing causal feature selection algorithms aim to identify a Markov blanket (MB) of the class variable. The MB
Xianjie Guo, Kui Yu, Fuyuan Cao
exaly   +2 more sources

Strong approximate Markov blanket and its application on filter-based feature selection

Applied Soft Computing Journal, 2020
In feature selection problems, strong relevant features may be misjudged as redundant by the approximate Markov blanket. To avoid this, a new concept called strong approximate Markov blanket is proposed. It is theoretically proved that no strong relevant
Zhongsheng Hua, Ye Hua
exaly   +2 more sources