AIMC Topic: Humans
Showing 66551 to 66560 of 95995 articles
A Review of Natural Language Processing in Medical Education.
The western journal of emergency medicine
Dec 12, 2018
Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical education...
Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot study.
Head & neck
Dec 12, 2018
BACKGROUND: A fully convolutional neural networks (FCN)-based automated image analysis algorithm to discriminate between head and neck cancer and noncancerous epithelium based on nonlinear microscopic images was developed.
Improving palliative care with deep learning.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care access are a combination of physicians over-estimating patient prognoses, and a ...
EHR phenotyping via jointly embedding medical concepts and words into a unified vector space.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate exploratory analysis and predictive ...
Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: Chronic Kidney Disease (CKD) is one of several conditions that affect a growing percentage of the US population; the disease is accompanied by multiple co-morbidities, and is hard to diagnose in-and-of itself. In its advanced forms it car...
Wrist accelerometer shape feature derivation methods for assessing activities of daily living.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: There has been an increasing interest in understanding the usefulness of wrist-based accelerometer data for physical activity (PA) assessment due to the ease of use and higher user compliance than other body placements. PA assessment stud...
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, capturing the highly non-linear in...
Deep-learning based surface region selection for deep inspiration breath hold (DIBH) monitoring in left breast cancer radiotherapy.
Physics in medicine and biology
Dec 12, 2018
Deep inspiration breath hold (DIBH) with surface supervising is a common technique for cardiac dose reduction in left breast cancer radiotherapy. Surface supervision accuracy relies on the characteristics of surface region. In this study, a convoluti...
More Than Just a Removal Service: Scavenger Receptors in Leukocyte Trafficking.
Frontiers in immunology
Dec 12, 2018
Scavenger receptors are a highly diverse superfamily of proteins which are grouped by their inherent ability to bind and internalize a wide array of structurally diverse ligands which can be either endogenous or exogenous in nature. Consequently, sca...
Leveraging Multilayered "Omics" Data for Atopic Dermatitis: A Road Map to Precision Medicine.
Frontiers in immunology
Dec 12, 2018
Atopic dermatitis (AD) is a complex multifactorial inflammatory skin disease that affects ~280 million people worldwide. About 85% of AD cases begin in childhood, a significant portion of which can persist into adulthood. Moreover, a typical progress...
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