Hospital-Based Medicine

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Latest AI and machine learning research in intensivists for healthcare professionals.

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Overtaking method based on sand-sifter mechanism: Why do optimistic value functions find optimal solutions in multi-armed bandit problems?

A multi-armed bandit problem is a search problem on which a learning agent must select the optimal a...

Development of a self-healing soft pneumatic actuator: a first concept.

Inspired by the intrinsic softness and the corresponding embodied intelligence principles, soft pneu...

Robotic Telepresence in a Medical Intensive Care Unit--Clinicians' Perceptions.

BACKGROUND: Robotic telepresence has been used for outsourcing of healthcare services for more than ...

Realization problem of multi-layer cellular neural networks.

This paper investigates whether the output space of a multi-layer cellular neural network can be rea...

Terradynamically streamlined shapes in animals and robots enhance traversability through densely cluttered terrain.

Many animals, modern aircraft, and underwater vehicles use fusiform, streamlined body shapes that re...

Prediction of feature genes in trauma patients with the TNF rs1800629 A allele using support vector machine.

BACKGROUND: Tumor necrosis factor (TNF)-α variant is closely linked to sepsis syndrome and mortality...

Clinical Documents Clustering Based on Medication/Symptom Names Using Multi-View Nonnegative Matrix Factorization.

Clinical documents are rich free-text data sources containing valuable medication and symptom inform...

Octopus-inspired multi-arm robotic swimming.

The outstanding locomotor and manipulation characteristics of the octopus have recently inspired the...

A global optimization approach to multi-polarity sentiment analysis.

Following the rapid development of social media, sentiment analysis has become an important social m...

A multi-label learning based kernel automatic recommendation method for support vector machine.

Choosing an appropriate kernel is very important and critical when classifying a new problem with Su...

A priori data-driven multi-clustered reservoir generation algorithm for echo state network.

Echo state networks (ESNs) with multi-clustered reservoir topology perform better in reservoir compu...

Multi-focus cluster labeling.

Document collections resulting from searches in the biomedical literature, for instance, in PubMed, ...

Semantic network mapping of religious material: testing multi-agent computer models of social theories against real-world data.

Agent-based modeling allows researchers to investigate theories of complex social phenomena and subs...

Running up a wall: the role and challenges of dynamic climbing in enhancing multi-modal legged systems.

Animals have demonstrated the ability to move through, across and over some of the most daunting env...

An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.

Human activity recognition is important in the study of personal health, wellness and lifestyle. In ...

Prediction of multi-drug resistance transporters using a novel sequence analysis method.

There are many examples of groups of proteins that have similar function, but the determinants of fu...

Multi-motion robots control based on bioelectric signals from single-channel dry electrode.

This article presents a multi-motion control system to help severe disabled people operate an auxili...

A new class of multi-stable neural networks: stability analysis and learning process.

Recently, multi-stable Neural Networks (NN) with exponential number of attractors have been presente...

A bioinspired multi-modal flying and walking robot.

With the aim to extend the versatility and adaptability of robots in complex environments, a novel m...

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebro...

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