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Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study
BackgroundMany studies have evaluated stroke using claims data; most of these studies have defined ischemic stroke using an operational definition...
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Identifying cancer patients who received palliative care using the SPICT-LIS in medical records: a rule-based algorithm and text-mining technique
BackgroundDue to limited numbers of palliative care specialists and/or resources, accessing palliative care remains limited in many low and...
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Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
BackgroundData mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver...
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Rule-based natural language processing for automation of stroke data extraction: a validation study
PurposeData extraction from radiology free-text reports is time consuming when performed manually. Recently, more automated extraction methods using...
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Rule-based deep learning method for prognosis of neonatal hypoxic-ischemic encephalopathy by using susceptibility weighted image analysis
ObjectiveSusceptibility weighted imaging (SWI) of neonatal hypoxic-ischemic brain injury can provide assistance in the prognosis of neonatal...
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Combining Machine Learning with a Rule-Based Algorithm to Detect and Identify Related Entities of Documented Adverse Drug Reactions on Hospital Discharge Summaries
IntroductionDischarge summaries contain valuable information about adverse drug reactions, but their unstructured nature makes them challenging to...
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Hybrid Method Incorporating a Rule-Based Approach and Deep Learning for Prescription Error Prediction
IntroductionRecently, automated detection has been a new approach to address the risks posed by prescribing errors. This study focused on...
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End-users feedback and perceptions associated with the implementation of a clinical-rule based Check of Medication Appropriateness service
BackgroundTo support appropriate prescribing hospital-wide, the ‘Check of Medication Appropriateness’ (CMA) service was implemented at the University...
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Automated Classification of Quality Defect Issues Relating to Substandard Medicines Using a Hybrid Machine Learning and Rule-Based Approach
Background and ObjectiveSubstandard medicines can lead to serious safety issues affecting public health; however, the nature of such issues can be...
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Rule-Based Identification of Individuals with Mild Cognitive Impairment or Alzheimer’s Disease Using Clinical Notes from the United States Veterans Affairs Healthcare System
BackgroundEarly identification of individuals with mild cognitive impairment (MCI) and Alzheimer’s disease (AD) is a clinical and research...
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A Symptom-Based Rule for Diagnosis of COVID-19
SARS-CoV-19 PCR testing has a turn-around time that makes it impractical for real-time decision-making, and current point-of-care tests have limited...
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Time to positivity of blood cultures in a level IV NICU varies based on organism category and population subgroups: is a 36-hour rule out safe?
BackgroundTime to positivity (TTP) of blood cultures and organism characteristics may be different in a Level IV NICU population.
Methods ...
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Comparison of agreement in asthmagen exposure assessments between rule-based automatic algorithms and a job exposure matrix in healthcare workers in Australia and Bhutan
Background:Assessment of occupational exposures is an integral component of population-based studies investigating the epidemiology of occupational...
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Rule of four: an anatomic and value-based approach to stent-graft inventory for blunt thoracic aortic injury
PurposeAs blunt thoracic aortic injury (BTAI) treatment has shifted from open to thoracic endovascular aortic repair (TEVAR), logistical challenges...
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Termination-of-resuscitation rule in the emergency department for patients with refractory out-of-hospital cardiac arrest: a nationwide, population-based observational study
BackgroundIn Japan, emergency medical service (EMS) providers are prohibited from field termination-of-resuscitation (TOR) in out-of-hospital cardiac...
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COVID-19 assessment in family practice—A clinical decision rule based on self-rated symptoms and contact history
The study aimed to evaluate the diagnostic accuracy of contact history and clinical symptoms and to develop decision rules for ruling-in and...
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Performance of a rule-based semi-automated method to optimize chart abstraction for surveillance imaging among patients treated for non-small cell lung cancer
BackgroundWe aim to develop and test performance of a semi-automated method (computerized query combined with manual review) for chart abstraction in...
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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record
BackgroundSystemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. Electronic health records (EHRs) represent a...
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A clinical prediction rule to identify difficult intubation in children with Robin sequence requiring mandibular distraction osteogenesis based on craniofacial CT measures
BackgroundAirway management is challenging in children with Robin sequence (RS) requiring mandibular distraction osteogenesis (MDO). We derived and...
