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Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.

BACKGROUND: Electronic medical records (EMR) contain numerical data important for clinical outcomes ...

Nov 2019 31730484
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.

BACKGROUND: Free text in electronic health records (EHR) may contain additional phenotypic informati...

Nov 2019 31711543
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma.

BACKGROUND: Predictive modeling with longitudinal electronic health record (EHR) data offers great p...

Nov 2019 31703676
Using machine learning to selectively highlight patient information.

BACKGROUND: Electronic medical record (EMR) systems need functionality that decreases cognitive over...

Oct 2019 31676461
A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support.

The evidence that quality of life is a positive variable for the survival of cancer patients has pro...

Oct 2019 31663861
ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial.

BACKGROUND: A deep learning algorithm to detect low ejection fraction (EF) using routine 12-lead ele...

Oct 2019 31710842
Decentralized distribution-sampled classification models with application to brain imaging.

BACKGROUND: In this age of big data, certain models require very large data stores in order to be in...

Oct 2019 31630085
A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation.

In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumo...

Oct 2019 31619736
An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset.

To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram (ECG) bea...

Oct 2019 31737240
Deep representation learning for individualized treatment effect estimation using electronic health records.

Utilizing clinical observational data to estimate individualized treatment effects (ITE) is a challe...

Oct 2019 31610264
Identification of postoperative complications using electronic health record data and machine learning.

BACKGROUND: Using the American College of Surgeons National Surgical Quality Improvement Program (NS...

Oct 2019 31635792
Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching.

BACKGROUND AND OBJECTIVE: Healthcare systems deal with multiple challenges in releasing information ...

Oct 2019 31629311
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes.

OBJECTIVE: There is a lot of information about cancer in Electronic Health Record (EHR) notes that c...

Oct 2019 31589927
Use of Natural Language Processing to identify Obsessive Compulsive Symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder.

Obsessive and Compulsive Symptoms (OCS) or Obsessive Compulsive Disorder (OCD) in the context of sch...

Oct 2019 31578348
Validation of an alcohol misuse classifier in hospitalized patients.

BACKGROUND: Current modes of identifying alcohol misuse in hospitalized patients rely on self-report...

Sep 2019 31574300
Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning.

The blood flow through the major vessels holds great diagnostic potential for the identification of ...

Sep 2019 31557196
Adversarial training based lattice LSTM for Chinese clinical named entity recognition.

Clinical named entity recognition (CNER), which intends to automatically detect clinical entities in...

Sep 2019 31557528
Wikidata: A large-scale collaborative ontological medical database.

Created in October 2012, Wikidata is a large-scale, human-readable, machine-readable, multilingual, ...

Sep 2019 31557529
Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data.

OBJECTIVES: Most population-based cancer databases lack information on metastatic recurrence. Electr...

Sep 2019 32025650
Ambient virtual scribes: Mutuo Health's AutoScribe as a case study of artificial intelligence-based technology.

Studies show that clinicians are increasingly burning out in large part from the clerical burden ass...

Sep 2019 31522566
Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

Hospital readmission is among the most critical issues in the healthcare system due to its high prev...

Sep 2019 31484143
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