[HTML][HTML] Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …
significant advances towards implementation of personalised medicine approaches for …
Extracting information from the text of electronic medical records to improve case detection: a systematic review
Abstract Background Electronic medical records (EMRs) are revolutionizing health-related
research. One key issue for study quality is the accurate identification of patients with the …
research. One key issue for study quality is the accurate identification of patients with the …
[HTML][HTML] Prevalence and determinants of healthcare avoidance during the COVID-19 pandemic: A population-based cross-sectional study
Background During the Coronavirus Disease 2019 (COVID-19) pandemic, the number of
consultations and diagnoses in primary care and referrals to specialist care declined …
consultations and diagnoses in primary care and referrals to specialist care declined …
A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop
Imaging research laboratories are rapidly creating machine learning systems that achieve
expert human performance using open-source methods and tools. These artificial …
expert human performance using open-source methods and tools. These artificial …
[HTML][HTML] Can AI help reduce disparities in general medical and mental health care?
IY Chen, P Szolovits… - AMA journal of …, 2019 - journalofethics.ama-assn.org
which reflects known clinical findings. Differences in prediction accuracy and therefore
machine bias are shown with respect to gender and insurance type for ICU mortality and …
machine bias are shown with respect to gender and insurance type for ICU mortality and …
Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
A review of approaches to identifying patient phenotype cohorts using electronic health records
C Shivade, P Raghavan… - Journal of the …, 2014 - academic.oup.com
Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …
patients with a common phenotype. Materials and methods We performed a review of …
[HTML][HTML] Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
In secondary analysis of electronic health records, a crucial task consists in correctly
identifying the patient cohort under investigation. In many cases, the most valuable and …
identifying the patient cohort under investigation. In many cases, the most valuable and …
[HTML][HTML] The co-morbidity burden of children and young adults with autism spectrum disorders
Objectives Use electronic health records Autism Spectrum Disorder (ASD) to assess the
comorbidity burden of ASD in children and young adults. Study Design A retrospective …
comorbidity burden of ASD in children and young adults. Study Design A retrospective …
[HTML][HTML] Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …