Trepo - Selaus tekijän mukaan "Yang, Zhen"
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Combining deep learning with token selection for patient phenotyping from electronic health records
(2020)
article<p>Artificial intelligence provides the opportunity to reveal important information buried in large amounts of complex data. Electronic health records (eHRs) are a source of such big data that provide a multitude of ... -
Deep Learning Methods for Patient Phenotyping from Electronic Health Records
(2019)
DiplomityöIn this MSc thesis we employed convolutional neural network based architectures in classifying free-form discharge summaries from electronic health records in the Medical Information Mart for Intensive Care III database. ... -
Evaluation of Question Answering Systems: Complexity of Judging a Natural Language
(2025)
reviewarticleQuestion answering (QA) systems are a leading and rapidly advancing field of natural language processing (NLP) research. One of their key advantages is that they enable more natural interactions between humans and machines, ... -
An Introductory Review of Deep Learning for Prediction Models With Big Data
(28.02.2020)
reviewarticleDeep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a massive interest in this ... -
Multi-label Text Classification with Deep Learning Models
Tampere University Dissertations - Tampereen yliopiston väitöskirjat : 1454 (Tampere University, 2026)
ArtikkeliväitöskirjaMulti-label text classification (ML TC) assigns multiple, potentially dependent labels to each document and underpins applications such as medical diagnosis, legal tagging, and news categorization. In general, ML TC must ... -
Optimal performance of Binary Relevance CNN in targeted multi-label text classification
(25.01.2023)
articleIn the context of multi-label text classification (MLTC), Binary Relevance (BR) stands out as one of the most intuitive and frequently employed methodologies. It tackles the MLTC task by breaking it down into multiple ... -
Prognostic modeling of predictive maintenance with survival analysis for mobile work equipment
(20.05.2022)
articleIn recent years there is a data surge of industrial and business data. This posses opportunities and challenges at the same time because the wealth of information is usually buried in complex and frequently disconnected ... -
Threshold-learned CNN for multi-label text classification of electronic health records
(28.08.2023)
articleText data in the form of natural language is a valuable resource that contains domain-specific information applicable to various applications. An example are electronic health records (eHR) offering comprehensive insights ...
