Results 191 to 200 of about 2,816,243 (339)
Improving performance of clinical research : development and interest of electronic health records [PDF]
Beresniak, Ariel+5 more
core +4 more sources
Lessons from the central Hampshire electronic health record pilot project:evaluation of the electronic health record for supporting patient care and secondary analysis [PDF]
Hugh Sanderson+3 more
openalex +1 more source
ABSTRACT Background Bladder dysfunction affects over 85% of people with multiple sclerosis (PwMS), yet current assessment methods are limited to periodic in‐clinic evaluations or subjective patient reports, failing to capture real‐world symptom fluctuations.
Valerie J. Block+8 more
wiley +1 more source
Artificial or Human Intelligence: Who is to Blame?
Nils Broeckx, Christophe Lemmens
doaj +1 more source
Flexible imputation toolkit for electronic health records. [PDF]
Vafaei Sadr A+7 more
europepmc +1 more source
Demonstrating Wireless IPv6 Access to a Federated Health Record Server [PDF]
D. Kalra+8 more
openalex +1 more source
ABSTRACT Objective The cervical spinal cord (cSC) is highly relevant to clinical dysfunction in multiple sclerosis (MS) but remains understudied using quantitative magnetic resonance imaging (MRI). We assessed magnetization transfer ratio (MTR), a semi‐quantitative MRI measure sensitive to MS‐related tissue microstructural changes, in the cSC and its ...
Lisa Eunyoung Lee+26 more
wiley +1 more source
New HL7 Electronic Health Records Standards Will Be a Boon to Laboratories [PDF]
George Hollenberg
openalex +1 more source
Time‐Frequency Fingerprint Analysis in SEEG Source‐Space to Identify the Epileptogenic Zone
ABSTRACT This case study highlights the application of seizure fingerprint analysis in the source‐space of stereo‐EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25‐year‐old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures ...
Yash Shashank Vakilna+10 more
wiley +1 more source
Machine learning in psychiatric health records: A gold standard approach to trauma annotation. [PDF]
Holderness E+7 more
europepmc +1 more source