Humans

Showing 67271 to 67280 of 95995 articles
Clear Filters

A Two-Step Neural Dialog State Tracker for Task-Oriented Dialog Processing.

Computational intelligence and neuroscience
Dialog state tracking in a spoken dialog system is the task that tracks the flow of a dialog and identifies accurately what a user wants from the utterance. Since the success of a dialog is influenced by the ability of the system to catch the require...

Machine learning to support social media empowered patients in cancer care and cancer treatment decisions.

PloS one
BACKGROUND: A primary variant of social media, online support groups (OSG) extend beyond the standard definition to incorporate a dimension of advice, support and guidance for patients. OSG are complementary, yet significant adjunct to patient journe...

Psychiatric stressor recognition from clinical notes to reveal association with suicide.

Health informatics journal
Suicide takes the lives of nearly a million people each year and it is a tremendous economic burden globally. One important type of suicide risk factor is psychiatric stress. Prior studies mainly use survey data to investigate the association between...

Comparative effectiveness of human scope assistant versus robotic scope holder in laparoscopic resection for colorectal cancer.

Surgical endoscopy
BACKGROUND: Several types of robotic scope holders have been developed to date, but there are only some experimental reports or the results of small clinical cases. The Soloassist® system is a unique robotic scope holder with which the surgeon can co...

Diagnostic accuracy of content-based dermatoscopic image retrieval with deep classification features.

The British journal of dermatology
BACKGROUND: Automated classification of medical images through neural networks can reach high accuracy rates but lacks interpretability.
(2)

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.

IEEE transactions on medical imaging
The accurate identification of malignant lung nodules on chest CT is critical for the early detection of lung cancer, which also offers patients the best chance of cure. Deep learning methods have recently been successfully introduced to computer vis...

Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning Approach.

The Journal of investigative dermatology
Immune-mediated diseases affect more than 20% of the population, and many autoimmune diseases affect the skin. Drug repurposing (or repositioning) is a cost-effective approach for finding drugs that can be used to treat diseases for which they are cu...

Seizure forecasting using single robust linear feature as correlation vector of seizure-like events in brain slices preparation in vitro.

Neurological research
Epilepsy is a neurological disorder affecting 50 million individuals globally. Modern research has inspected the likelihood of forecasting epileptic seizures. Algorithmic investigations are giving promising results for seizure prediction. Though most...

Artificial intelligence and its potential in oncology.

Drug discovery today
The two main branches associated with Artificial Intelligence (AI) in medicine are virtual and physical. The virtual component includes machine learning (ML) and algorithms, whereas physical AI includes medical devices and robots for delivering care....

State of the Art: Machine Learning Applications in Glioma Imaging.

AJR. American journal of roentgenology
OBJECTIVE: Machine learning has recently gained considerable attention because of promising results for a wide range of radiology applications. Here we review recent work using machine learning in brain tumor imaging, specifically segmentation and MR...