AIMC Topic: Models, Theoretical

Clear Filters Showing 1781 to 1790 of 1953 articles

DeepCNPP: Deep Learning Architecture to Distinguish the Promoter of Human Long Non-Coding RNA Genes and Protein-Coding Genes.

Studies in health technology and informatics
Promoter region of protein-coding genes are gradually being well understood, yet no comparable studies exist for the promoter of long non-coding RNA (lncRNA) genes which has emerged as a global potential regulator in multiple cellular process and dif...

Bio-inspired Model of Humanoid Robot for Ascending Movement.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Stair climbing is one of the important daily life activities that biped robots have to carry out. However, the number of researches study the ascending movement mechanisms and its stability is low. In this study, we have inspired by human ascending m...

Medical Knowledge Extraction and Analysis from Electronic Medical Records Using Deep Learning.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Objectives Medical knowledge extraction (MKE) plays a key role in natural language processing (NLP) research in electronic medical records (EMR), which are the important digital carriers for recording medical activities of patients. Named entity reco...

Single-stride exposure to pulse torque assistance provided by a robotic exoskeleton at the hip and knee joints.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robot assisted gait retraining is an increasingly common method for supporting restoration of walking function after neurological injury. Gait speed, an indicator of walking function, is correlated with propulsive force, a measure modulated by the po...

A Model-Based Method for Minimizing Reflected Motor Inertia in Off-board Actuation Systems: Applications in Exoskeleton Design.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
The research and development of wearable robotic devices has been accelerated by off-board control and actuation systems. While off-board robotic actuation systems provide many benefits, the impedance at the robotic joint is often high. High joint im...

Design, Modelling, and Experimental Evaluation of a Compact Elastic Actuator for a Gait Assisting Exoskeleton.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This paper presents a Transmissive Force Sensing Elastic Actuator (TFSEA) for exoskeleton applications. Exoskeletons can serve as orthotic or rehabilitative devices enabling people with paraplegia to walk. Several exoskeletons have been commercialize...

[Model-based treatment in surgery].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
BACKGROUND: The "magic triangle" in surgery and other disciplines consists of the demand for increasingly gentler forms of treatment, simultaneous cost reduction and the fundamental primacy of improving the quality of results. The digitalization of m...

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia.

JCO clinical cancer informatics
PURPOSE: Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly heterogeneous presentations and prognoses, as in chronic lymphocytic lymphoma (CLL). Although machine learning methods can ...

Filter feature selectors in the development of binary QSAR models.

SAR and QSAR in environmental research
The application of machine learning methods to the construction of quantitative structure-activity relationship models is a complex computational problem in which dimensionality reduction of the representation of the molecular structure plays a funda...