AIMC Topic: Knowledge Bases

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Autophagy and Apoptosis Specific Knowledgebases-guided Systems Pharmacology Drug Research.

Current cancer drug targets
BACKGROUND: Autophagy and apoptosis are the basic physiological processes in cells that clean up aged and mutant cellular components or even the entire cells. Both autophagy and apoptosis are disrupted in most major diseases such as cancer and neurol...

Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...

LipidPedia: a comprehensive lipid knowledgebase.

Bioinformatics (Oxford, England)
MOTIVATION: Lipids are divided into fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, saccharolipids, sterols, prenol lipids and polyketides. Fatty acyls and glycerolipids are commonly used as energy storage, whereas glycerophospholipi...

Effects of a methodological infographic on research participants' knowledge, transparency, and trust.

Health psychology : official journal of the Division of Health Psychology, American Psychological Association
OBJECTIVE: Given participants' research literacy is essential for clinical trial participation, evidence-based strategies are needed that improve literacy and easily accessed online. We tested whether an infographic letter-that illustrated how dropou...

Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Human activity recognition (HAR) is an important component in health-care systems. For example, it can enable context-aware applications such as elderly care and patient monitoring. Relying on a set of training data, supervised machine learning algor...

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Continuous glucose monitoring (CGM) of patients with diabetes allows the effective management of the disease and reduces the risk of hypoglycemic or hyperglycemic episodes. Towards this goal, the development of reliable CGM models is essential for re...

Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To extract drug indications from a commercial drug knowledgebase and determine to what extent drug indications can discriminate between look-alike-sound-alike (LASA) drugs.