Epidemiology of asthma in children and adults
Asthma is a globally significant non-communicable disease with major public health
consequences for both children and adults, including high morbidity, and mortality in severe …
consequences for both children and adults, including high morbidity, and mortality in severe …
[HTML][HTML] Clinical information extraction applications: a literature review
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …
harvest information and knowledge from EHRs to support automated systems at the point of …
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
The last 18 months, or more, have seen a profound shift in our global experience, with many
of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life …
of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life …
Artificial intelligence approaches using natural language processing to advance EHR-based clinical research
Y Juhn, H Liu - Journal of Allergy and Clinical Immunology, 2020 - Elsevier
The wide adoption of electronic health record systems in health care generates big real-
world data that open new venues to conduct clinical research. As a large amount of valuable …
world data that open new venues to conduct clinical research. As a large amount of valuable …
dbPTM in 2019: exploring disease association and cross-talk of post-translational modifications
Abstract The dbPTM (http://dbPTM. mbc. nctu. edu. tw/) has been maintained for over 10
years with the aim to provide functional and structural analyses for post-translational …
years with the aim to provide functional and structural analyses for post-translational …
[HTML][HTML] Artificial intelligence and machine learning in chronic airway diseases: focus on asthma and chronic obstructive pulmonary disease
Y Feng, Y Wang, C Zeng, H Mao - International journal of medical …, 2021 - ncbi.nlm.nih.gov
Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in developing countries. Among them …
remodeling and show high prevalence, especially in developing countries. Among them …
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic …
Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …
techniques are increasingly used to process unstructured/free-text patient-reported outcome …
[HTML][HTML] State-of-the-art deep learning methods on electrocardiogram data: systematic review
Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …
tools that can provide useful information regarding a patient's health status. Deep learning …
dbAMP: an integrated resource for exploring antimicrobial peptides with functional activities and physicochemical properties on transcriptome and proteome data
Antimicrobial peptides (AMPs), naturally encoded from genes and generally contained 10–
100 amino acids, are crucial components of the innate immune system and can protect the …
100 amino acids, are crucial components of the innate immune system and can protect the …
A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of lifestyle diseases
Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …