AIMC Topic: Electronic Health Records
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A scalable approach for developing clinical risk prediction applications in different hospitals.
Journal of biomedical informatics
Apr 20, 2021
OBJECTIVE: Machine learning (ML) algorithms are now widely used in predicting acute events for clinical applications. While most of such prediction applications are developed to predict the risk of a particular acute event at one hospital, few effort...
Three ways of knowing: the integration of clinical expertise, evidence-based medicine, and artificial intelligence in assisted reproductive technologies.
Journal of assisted reproduction and genetics
Apr 19, 2021
Decision-making in fertility care is on the cusp of a significant frameshift. Online tools to integrate artificial intelligence into the decision-making process across all aspects of ART are rapidly emerging. These tools have the potential to improve...
A neuralized feature engineering method for entity relation extraction.
Neural networks : the official journal of the International Neural Network Society
Apr 16, 2021
Making full use of semantic and structure information in a sentence is critical to support entity relation extraction. Neural networks use stacked neural layers to perform designated feature transformations and can automatically extract high-order ab...
Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be.
Journal of biomedical informatics
Apr 14, 2021
Understanding a patient's medical history, such as how long symptoms last or when a procedure was performed, is vital to diagnosing problems and providing good care. Frequently, important information regarding a patient's medical timeline is buried i...
Core services that power AI-driven transformation in cancer research and care.
Biochimica et biophysica acta. Reviews on cancer
Apr 10, 2021
This review captures some key lessons learned in the course of helping some of America's leading healthcare AI innovators achieve scale and sustained impact in complex research and care delivery ecosystems. AI innovators may find it useful to access ...
Evaluating eligibility criteria of oncology trials using real-world data and AI.
Nature
Apr 7, 2021
There is a growing focus on making clinical trials more inclusive but the design of trial eligibility criteria remains challenging. Here we systematically evaluate the effect of different eligibility criteria on cancer trial populations and outcomes ...
Applying Machine Learning Across Sites: External Validation of a Surgical Site Infection Detection Algorithm.
Journal of the American College of Surgeons
Apr 5, 2021
BACKGROUND: Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. To...
Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.
Annals of vascular surgery
Apr 3, 2021
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Male
Middle Aged
Risk Assessment
Time Factors
Aged
Adult
Dilatation, Pathologic
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Vascular Remodeling
Aorta
Treatment Outcome
Support Vector Machine
Aortic Dissection
Aortic Aneurysm, Thoracic
Neural Networks, Computer
Decision Support Techniques
Retrospective Studies
Electronic Health Records
Clinical Decision-Making
Female
Risk Factors
Humans
Aortic Rupture
Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.
Diabetologia
Apr 2, 2021
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We sought to develop/validate a machine-learned, prognostic risk score (KidneyIntelX™) combining electronic health records (EHR) and biomarkers.
Local-Global Memory Neural Network for Medication Prediction.
IEEE transactions on neural networks and learning systems
Apr 2, 2021
Electronic medical records (EMRs) play an important role in medical data mining and sequential data learning. In this article, we propose to use a sequential neural network with dynamic content-based memories to predict future medications, given EMRs...
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