A hybrid deep learning approach for phenotype prediction from clinical notes
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10.1007/s12652-023-04568-y |
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A study into patient similarity through representation learning from medical records
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10.1007/s10115-022-01740-2 |
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Systems Biology-Derived Genetic Signatures of Mastitis in Dairy Cattle: A New Avenue for Drug Repurposing
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10.3390/ani12010029 |
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MultiGBS: A multi-layer graph approach to biomedical summarization
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10.1016/j.jbi.2021.103706 |
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A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-related genes through type-II fuzzy data fusion
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10.1016/j.jbi.2021.103688 |
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A novel similarity measure for spatial entity resolution based on data granularity model: Managing inconsistencies in place descriptions
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The use of the Heter-LP algorithm to reposition antibiotics for managing E. coli mastitis in dairy cattle
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A computational drug repositioning method applied to rare diseases: Adrenocortical carcinoma
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10.1038/s41598-020-65658-x |
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DHLP 1&2: Giraph based distributed label propagation algorithms on heterogeneous drug-related networks
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10.1016/j.eswa.2020.113640 |
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Fuzzy least squares twin support vector machines
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10.1016/j.engappai.2019.06.018 |
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Preprocessing of alarm data for data mining
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10.1021/acs.iecr.8b05955 |
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Graph-based biomedical text summarization An itemset mining and sentence clustering approach
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10.1016/j.jbi.2018.06.005 |
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Different approaches for identifying important concepts in probabilistic biomedical text summarization
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10.1016/j.artmed.2017.11.004 |
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BigFCM Fast Precise and Scalable FCM on Hadoop
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P 4QS A Peer to Peer Privacy Preserving Query Service for Location-Based Mobile Applications
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A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection
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Quantifying the informativeness for biomedical literature summarization An itemset mining method
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Heter-LP A heterogeneous label propagation algorithm and its application in drug repositioning
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A review of network-based approaches to drug repositioning
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Ambiguity-Driven Fuzzy C-Means Clustering How to Detect Uncertain Clustered Records
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