[HTML][HTML] Natural language processing of clinical notes on chronic diseases: systematic review
Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …
are required in the domain of chronic diseases, given the growing incidence of such …
[HTML][HTML] The shaky foundations of large language models and foundation models for electronic health records
The success of foundation models such as ChatGPT and AlphaFold has spurred significant
interest in building similar models for electronic medical records (EMRs) to improve patient …
interest in building similar models for electronic medical records (EMRs) to improve patient …
Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction
Behaviors and disorders related to self-regulation, such as substance use, antisocial
behavior and attention-deficit/hyperactivity disorder, are collectively referred to as …
behavior and attention-deficit/hyperactivity disorder, are collectively referred to as …
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] Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record
Objective To compare three groupings of Electronic Health Record (EHR) billing codes for
their ability to represent clinically meaningful phenotypes and to replicate known genetic …
their ability to represent clinically meaningful phenotypes and to replicate known genetic …
[HTML][HTML] Deep representation learning of electronic health records to unlock patient stratification at scale
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation
personalized medicine. However, challenges in summarizing and representing patient data …
personalized medicine. However, challenges in summarizing and representing patient data …
[HTML][HTML] Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia
Metformin, a diabetes drug with anti-aging cellular responses, has complex actions that may
alter dementia onset. Mixed results are emerging from prior observational studies. To …
alter dementia onset. Mixed results are emerging from prior observational studies. To …
Penetrance and pleiotropy of polygenic risk scores for schizophrenia in 106,160 patients across four health care systems
AB Zheutlin, J Dennis… - American Journal of …, 2019 - Am Psychiatric Assoc
Objective: Individuals at high risk for schizophrenia may benefit from early intervention, but
few validated risk predictors are available. Genetic profiling is one approach to risk …
few validated risk predictors are available. Genetic profiling is one approach to risk …
Advances in electronic phenotyping: from rule-based definitions to machine learning models
JM Banda, M Seneviratne… - Annual review of …, 2018 - annualreviews.org
With the widespread adoption of electronic health records (EHRs), large repositories of
structured and unstructured patient data are becoming available to conduct observational …
structured and unstructured patient data are becoming available to conduct observational …
[HTML][HTML] Identifying dementia cases with routinely collected health data: a systematic review
T Wilkinson, A Ly, C Schnier, K Rannikmäe… - Alzheimer's & …, 2018 - Elsevier
Introduction Prospective, population-based studies can be rich resources for dementia
research. Follow-up in many such studies is through linkage to routinely collected, coded …
research. Follow-up in many such studies is through linkage to routinely collected, coded …