Step-by-step causal analysis of EHRs to ground decision-making. by Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux

“…Causal inference enables machine learning methods to estimate treatment effects of medical interventions from electronic health records (EHRs). …”
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Attack path prediction method based on causal knowledge net by Shuo WANG, Guang-ming TANG, Guang KOU, Hai-tao SONG

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How to interpret statistical analysis results implicated in health causality studies? by Nelsa María Sagaró del Campo, Larisa Zamora Matamoros

“…Once it was identified and founded the use of the statistical analysis involved in the search for possible causal factors in health, it was necessary to design a methodology for its optimal application, in which the most complex stage turned was result interpretation. …”
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Discovering causal models for structural, construction and defense-related engineering phenomena by M.Z. Naser

Subjects: “…Causality…”
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Identifying Ambiguous Causal and Interfering Factors in Information Storage and Retrieval Systems by Mohammad Zamani, Mitra Ghiasi, Safiyeh Tahmasebi Limooni

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Morphological and Molecular Identification of the Causal Agent of Anthracnose Disease of Avocado in Kenya by S. K. Kimaru, E. Monda, R. C. Cheruiyot, J. Mbaka, A. Alakonya

“…Due to economic losses associated with the disease and emerging information of other species of fungi as causal agents of the disease, this study was aimed at identifying causal agent(s) of the disease. …”
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Genetic evidence for the causal effect of clonal hematopoiesis on pulmonary arterial hypertension by Jia-Yong Qiu, Shen-Shen Huang, Chao Liu, Dong Ding, Yan-Hong Xu, Yi-Min Mao, Ya-Dong Yuan

“…This study aims to investigate the causal effect of CH on the risk of PAH using a two-sample Mendelian randomization (MR) approach. …”
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The causal impact of smoking behavior on osteoarthritis: a Mendelian randomization analysis by Qiang Xiao, Susu Dong, Yafen Tan, Xuan Zhang, Lu Yao, Qiuping Li, Tianli Wang

“…The purpose of this study was to use Mendelian randomization (MR) analysis to investigate the causal relationship between smoking phenotypes and OA risk from a genetically informed standpoint.MethodsAs instrumental variables (IVs) based on single nucleotide polymorphisms (SNPs), this study used the summary-level data of corresponding genome-wide association study (GWAS) for five smoking phenotypes involving 1,694,781 samples. …”
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Genetic evidence for the causal effects of air pollution on the risk of respiratory diseases by Yanjuan Wu, Yuting Zhang, Jingcun Wang, Qiming Gan, Xiaofen Su, Sun Zhang, Yutong Ding, Xinyan Yang, Nuofu Zhang, Kang Wu

“…However, establishing causal relationships remains challenging due to residual confounding in observational studies. …”
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Designing a causal model of factors affecting the Lars supply chain by mojtaba khalesi, mojdeh rabani, Hasan Dehghan Dahnavi, Abolfazl Sadeghian, mohammad taghi honari

“…Abstract The main goal of this research is to design a causal model of factors affecting the Lars supply chain (lean, agile, resilient and sustainable). …”
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Buildings, Causalities, and Injuries Innovative Fuzzy Damage Model during Earthquakes by Mohammad Reza Amiri Shahmirani, Abbas Akbarpour Nikghalb Rashti, Mohammad Reza Adib Ramezani, Emadaldin Mohammadi Golafshani

“…One of the human concerns has always been to estimate the damage caused before the earthquake and predict the extent of injuries and causalities. An effective model should be developed based on the field survey data for appropriate prediction. …”
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FABIO: TWAS fine-mapping to prioritize causal genes for binary traits. by Haihan Zhang, Kevin He, Zheng Li, Lam C Tsoi, Xiang Zhou

“…In the real datasets, FABIO significantly reduced the size of the causal gene sets by 27.9%-36.9% over existing approaches across traits. …”
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Exploring the causal relationship between chronic periodontitis and oral cancer: An insight by Shaswata Karmakar, Baishakhi Modak, Monica Charlotte Solomon

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Aneurysm and Neurocysticercosis: Casual or Causal Relationship? Case Report and Review of the Literature by Svetlana Agapejev, João Luiz Parra-Marinello, Rodrigo Bazan, Anete Kinumi Ueda, Marco Antonio Zanini

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Research on attack scenario reconstruction method based on causal knowledge discovery by Di FAN, Jing LIU, Jun-xi ZHUANG, Ying-xu LAI

“…In order to discover the attack pattern from the distributed alert data and construct the attack scene,a method of finding the attack scene from the alert data generated by intrusion detection system was studied.Current research suffer from the problem that causal knowledge is complex and difficult to understand and it is difficult to automatically acquire the problem.An attack scenario reconstruction method based on causal knowledge discovery was proposed.According to the process of KDD,the sequence set of attack scenes was constructed by the correlation degree of IP attributes among alert data.Time series modeling was adopted to eliminate the false positives to reduce the attack scene sequence.Finally,causal relationship between the alert data was found by using probability statistics.Experiments on the DARPA2000 intrusion scenario specific data sets show that the method can effectively identify the multi-step attack mode.…”
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Causality-driven candidate identification for reliable DNA methylation biomarker discovery by Xinlu Tang, Rui Guo, Zhanfeng Mo, Wenli Fu, Xiaohua Qian

“…To achieve reliable identification of a candidate pool for DNAm biomarker discovery, we propose a Causality-driven Deep Regularization framework to reinforce correlations that are suggestive of causality with disease. …”
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Causal ACTH-Depot Therapy during Pregnancies following Infertility Treatment by Rudolf Klimek, Marek Klimek, Peter Gralek, Dariusz Jasiczek

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Modelling sensory attenuation as Bayesian causal inference across two datasets. by Anna-Lena Eckert, Elena Fuehrer, Christina Schmitter, Benjamin Straube, Katja Fiehler, Dominik Endres

“…We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred.…”
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Estimating Causal Effect of Two-Dose COVID-19 Vaccination on Hospitalization by Mohammad Taghi Shakeri, Mahboobeh Taherizadeh, Saeed Akhlaghi, Ehsan Mosa Farkhani

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Causality adversarial attack generation algorithm for intelligent unmanned communication system by Shuwen YU, Wei XU, Jiacheng YAO

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