ArticleBehavioural neurology2021
Patient Behavioral Analysis with Smart Healthcare and IoT.
Article in Behavioural neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Research on User Behavior Based on Higher-Order Dependency Network.Entropy (Basel, Switzerland) · 2023Article
- Machine Learning and Cloud-Based Knowledge Graphs to Recognize Suicidal Mental Tendencies.Computational intelligence and neuroscience · 2022Article
- Privacy Protection of Healthcare Data over Social Networks Using Machine Learning Algorithms.Computational intelligence and neuroscience · 2022Article
- Effect of Intelligent Medical Management Platform Combined with Perioperative Detailed Nursing on Cognitive Ability, Postoperative Complications, and Quality of Life of Patients Undergoing Hysterectomy.Computational and mathematical methods in medicine · 2022Article
- Classification of EEG Signal-Based Encephalon Magnetic Signs for Identification of Epilepsy-Based Neurological Disorder.Computational and mathematical methods in medicine · 2022Article
- Analyzing the Patient Behavior for Improving the Medical Treatment Using Smart Healthcare and IoT-Based Deep Belief Network.Journal of healthcare engineering · 2022Article
- Blockchain-Based Optimization Model for Evaluating Psychological Mental Disease and Mental Fitness.Computational intelligence and neuroscience · 2022Article
- Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task.BioMed research international · 2022Article
- Prognostic Diagnosis for Breast Cancer Patients Using Probabilistic Bayesian Classification.BioMed research international · 2022Article
- Extracting Behavior Identification Features for Monitoring and Managing Speech-Dependent Smart Mental Illness Healthcare Systems.Computational intelligence and neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patient behavioral analysis is the key factor for providing treatment to patients who may suffer from various difficulties including neurological disease, head trauma, and mental disease. Analyzing the patient's behavior helps in determining the root cause of the disease. In traditional healthcare, patient behavioral analysis has lots of challenges that were much more difficult. The patient behavior can be easily analyzed with the development of smart healthcare. Information technology plays a key role in understanding the concept of smart healthcare. A new generation of information technologies including IoT and cloud computing is used for changing the traditional healthcare system in all ways. Using Internet of Things in the healthcare institution enhances the effectiveness as well as makes it more personalized and convenient to the patients. The first thing that will be discussed in the article is the technologies that have been used to support the smart class, and further, there will be a discussion on the existing problems with the smart healthcare system and how these problems can be solved. This study can provide essential information about the role of smart healthcare and IoT in maintaining behavior of patent. Various biomarkers are maintained properly with the help of these technologies. This study can provide effective information about importance of smart health system. This smart healthcare is conducted with the involvement of proper architecture. This is treated as effective energy efficiency architecture. Artificial intelligence is used increasingly in healthcare to maintain diagnosis and other important factors of healthcare. This application is also used to maintain patient engagement, which is also included in this study. Major hardware components are also included in this technology such as CO sensor and CO
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