[HTML][HTML] Machine learning in healthcare
H Habehh, S Gohel - Current genomics, 2021 - ncbi.nlm.nih.gov
Abstract Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML)
technology have brought on substantial strides in predicting and identifying health …
technology have brought on substantial strides in predicting and identifying health …
[HTML][HTML] Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
Objectives Patient representation learning refers to learning a dense mathematical
representation of a patient that encodes meaningful information from Electronic Health …
representation of a patient that encodes meaningful information from Electronic Health …
Clinicalbert: Modeling clinical notes and predicting hospital readmission
Clinical notes contain information about patients that goes beyond structured data like lab
values and medications. However, clinical notes have been underused relative to structured …
values and medications. However, clinical notes have been underused relative to structured …
Combining structured and unstructured data for predictive models: a deep learning approach
Background The broad adoption of electronic health records (EHRs) provides great
opportunities to conduct health care research and solve various clinical problems in …
opportunities to conduct health care research and solve various clinical problems in …
Deep learning in clinical natural language processing: a methodical review
Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Objective: With the increasing amount and growing variety of healthcare data, multimodal
machine learning supporting integrated modeling of structured and unstructured data is an …
machine learning supporting integrated modeling of structured and unstructured data is an …
Machine learning and natural language processing for prediction of human factors in aviation incident reports
In the aviation sector, human factors are the primary cause of safety incidents. Intelligent
prediction systems, which are capable of evaluating human state and managing risk, have …
prediction systems, which are capable of evaluating human state and managing risk, have …
Missing value imputation methods for electronic health records
Electronic health records (EHR) are patient-level information, eg, laboratory tests and
questionnaires, stored in electronic format. Compared to physical records, the EHR …
questionnaires, stored in electronic format. Compared to physical records, the EHR …
Taper: Time-aware patient ehr representation
Effective representation learning of electronic health records is a challenging task and is
becoming more important as the availability of such data is becoming pervasive. The data …
becoming more important as the availability of such data is becoming pervasive. The data …
Benchmarking deep learning architectures for predicting readmission to the ICU and describing patients-at-risk
S Barbieri, J Kemp, O Perez-Concha, S Kotwal… - Scientific reports, 2020 - nature.com
To compare different deep learning architectures for predicting the risk of readmission within
30 days of discharge from the intensive care unit (ICU). The interpretability of attention …
30 days of discharge from the intensive care unit (ICU). The interpretability of attention …