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Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care

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Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care

Ramesh Kumar Veerapaneni et al · Frontiers Media S.A · 2026 · ISSN 2673-253X

ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/out...

LCC LCC:Medicine; LCC:Public aspects of medicine; LCC:Electronic computers. Computer scienceIdioma eng

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ClarID: a human-readable and compact identifier specification for biomedical metadata integration

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ClarID: a human-readable and compact identifier specification for biomedical metadata integration

Manuel Rueda et al · BMC · 2026 · ISSN 2041-1480

Abstract Background In biomedical research, subjects and biospecimens are commonly tracked using simple IDs or UUIDs, which guarantee uniqueness but convey no embedded semantic information. Contextual metadata (such as t...

LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng

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Diabetes Risk Prediction using Shapley Additive Explanations for Feature Engineering

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Diabetes Risk Prediction using Shapley Additive Explanations for Feature Engineering

Chinwe Miracle Chituru et al · MMU Press · 2025 · ISSN 2821-370X

Diabetes is prevalent globally, expected to increase in the next few years. This includes people with different types of diabetes including type 1 diabetes and type 2 diabetes. There are several causes for the increase: ...

LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng

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Predicting disease outcomes from remote monitoring using machine learning: a systematic review

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Predicting disease outcomes from remote monitoring using machine learning: a systematic review

Jonas Wolber et al · BMC · 2026 · ISSN 1472-6947

Abstract Background Chronic conditions cause millions of deaths annually worldwide. Remote patient monitoring using wearable devices and sensors, combined with machine learning (ML), offers promising strategies for disea...

LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng

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Training the Brain: A Machine Learning Approach to Predicting Wellbeing Through Intentional Thought Pattern Modification

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Training the Brain: A Machine Learning Approach to Predicting Wellbeing Through Intentional Thought Pattern Modification

Sellappan Palaniappan et al · MMU Press · 2025 · ISSN 2821-370X

This study provides a quantitative framework for wellbeing outcome prediction through intentional cognitive pattern alteration. We demonstrated 81.67% accurate prediction of wellbeing states, in a three-level classificat...

LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng

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