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Information Technology

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

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Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts...

Jan 2019 30610202
Artificial intelligence-based decision-making for age-related macular degeneration.

Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great potential to ...

Jan 2019 30662564
Quantitative analysis of manual annotation of clinical text samples.

BACKGROUND: Semantic interoperability of eHealth services within and across countries has been the m...

Dec 2018 30654902
Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy.

PURPOSE: The purpose of this study was to compare the effectiveness of ensemble methods (e.g., rando...

Dec 2018 30499597
EHR phenotyping via jointly embedding medical concepts and words into a unified vector space.

BACKGROUND: There has been an increasing interest in learning low-dimensional vector representations...

Dec 2018 30537974
Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...

Dec 2018 30815052
Generalized Extraction and Classification of Span-Level Clinical Phrases.

Much of the critical information in a patient's electronic health record (EHR) is hidden in unstruct...

Dec 2018 30815058
Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD).

Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in ele...

Dec 2018 30815091
Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.

Manually annotated clinical corpora are commonly used as the gold standards for the training and eva...

Dec 2018 30815098
Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has impo...

Dec 2018 30815164
Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records.

Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; there...

Dec 2018 30815189
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.

Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A bet...

Dec 2018 30815109
Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records.

Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluat...

Dec 2018 30815195
Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.

Purpose To compare breast cancer detection performance of radiologists reading mammographic examinat...

Nov 2018 30457482
Artificial intelligence and deep learning in ophthalmology.

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in r...

Oct 2018 30361278
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments.

BACKGROUND: Over the past decade, machine learning techniques have revolutionized how research and s...

Oct 2018 30332463
Using neural attention networks to detect adverse medical events from electronic health records.

The detection of Adverse Medical Events (AMEs) plays an important role in disease management in ensu...

Oct 2018 30336262
Application of electronic trigger tools to identify targets for improving diagnostic safety.

Progress in reducing diagnostic errors remains slow partly due to poorly defined methods to identify...

Oct 2018 30291180
Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an aller...

Sep 2018 30266231
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