Providing diverse patient groups with their specific medication requirements, using a wide range of drugs, poses meaningful challenges for prescribing. Standardized approaches often lead to large waste, many side effe...
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ISBN:
(数字)9798331505745
ISBN:
(纸本)9798331505752
Providing diverse patient groups with their specific medication requirements, using a wide range of drugs, poses meaningful challenges for prescribing. Standardized approaches often lead to large waste, many side effects and suboptimal outcomes. Therefore, we need improved, more personalized healthcare. MediGuide AI's drug recommendation system is powered by machine learning and it offers a thorough solution. Optimized data pre-processing and analysis, leading to the desired outcome, is achieved using advanced machine learning algorithms like Naive Bayes, TF-IDF and the Natural Language Toolkit. Highly personalized prescriptions are generated using thorough patient data, including demographics and meaningful clinical factors to achieve substantially better accuracy. Important enhancements include dual recommendation outputs, which provide many drug recommendations alongside a large number of alternative Ayurvedic treatments presented side by side for effortless comparison. An advanced personalized dosage calculation module precisely determines drug dosages using advanced regression models based on age, weight and metabolism. This system helps patients track and record their medications and it also suggests several nearby Ayurvedic shops based on their location. MediGuide AI employs exceptionally powerful algorithms and its advanced tools deliver remarkably precise and exceptionally user-friendly healthcare solutions. Current systems make use of rule-based methods that cannot learn from new data, whereas MediGuide AI leverages a hybrid Naïve Bayes and PassiveAggressiveClassifier model for higher accuracy and real-time adaptability. It also includes Ayurvedic options to ensure personalized healthcare experience.
This paper investigates the safe platoon formation tracking and merging control problem of connected and automated vehicles (CAVs) on curved multi-lane roads. The first novelty is the separation of the control designs...
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The self-configured, autonomous, and framework-free modes of communication that mobile adhoc networks (MANETs) offer have revolutionized our culture. As a result, efforts have been made to explore ways to maximize the...
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We consider the Koopman operator semigroup (Kt)t≥0 associated with stochastic differential equations of the form dKt = AKt dt + B dWt with constant matrices A and B and Brownian motion Wt . We prove that the reproduc...
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Chimera states in systems of nonlocally coupled oscillators, i.e., self-organized coexistence of coherent and incoherent oscillator populations, have attracted much attention. In this study, we consider the effect of ...
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With the advent of advancements in future sixth-generation (6G) communication systems, Internet of Things (IoT) devices, characterized by their limited computational and communication capacities, have become integral ...
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This paper presents simulations of L1 adaptive controller on a multirotor vehicle for compensation of convective winds. There are increasing efforts to utilize unmanned vehicles for fighting wildfires, but such vehicl...
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Virtual reality (VR) locomotion techniques are commonly known as the ability to navigate or move in virtual spaces. With the increasing VR applications for older adults (OAs), locomotion techniques become increasingly...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
Virtual reality (VR) locomotion techniques are commonly known as the ability to navigate or move in virtual spaces. With the increasing VR applications for older adults (OAs), locomotion techniques become increasingly important for their experience, especially since many VR applications aim to support healthy aging. Yet, we do not know whether the commonly used locomotion techniques in VR are suitably designed for OAs. As a first step toward understanding this, we conducted a scoping review of VR literature in two databases (ACM Library and IEEE Xplore). We employed the PRISMA method to identify papers that includes empirical studies and head mounted display (HMD) VR applications intended for OAs. The search returned 399 papers, and 47 papers were selected after 2 rounds of screening. The analysis of these papers shows that motion-based and room scale-based locomotion techniques are most common in VR applications for OAs. However, we also found a lack of formal evaluation of how suitable the common VR locomotion techniques are for OAs – a gap that needs addressing in order to improve the accessibility of VR for older users.
This paper presents a method for shaping the feasible force set of a payload-carrying platform composed of multiple Unmanned Aerial Vehicles (UAVs) and proposes a control law that leverages the advantages of this shap...
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The economic dispatch problem (EDP) poses a significant challenge in energy management for modern power systems, particularly as these systems undergo expansion. This growth escalates the demand for communication reso...
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