Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder

Amina, Mahdi; Yazdani, Javad; Rovetta, Stefano; Masulli, Francesco

doi:10.1016/j.artmed.2020.101819

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…The proposed work can provide a solution to handle this critical situation. This work mainly focuses on fuzzy rulebased approach [49][50][51][52][53] that uses priority-based method [54,55] to manage and assign the hospital beds for the treatment of COVID-19 infected patients. The proposed approach is compared with the FCFS-based [56,57] approach to analyze the practical scenario during the assignment of hospital beds.…”

Section: Proposed Methodologymentioning

confidence: 99%

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

Jena

Bhoi

Prasad

et al. 2021

Neural Comput & Applic

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) is a very dangerous infectious disease for the entire world in the current scenario. Coronavirus spreads from one person to another person very rapidly. It spreads exponentially throughout the globe. Everyone should be cautious to avoid the spreading of this novel disease. In this paper, a fuzzy rule-based approach using priority-based method is proposed for the management of hospital beds for COVID-19 infected patients in the worst-case scenario where the number of hospital beds is very less as compared to the number of COVID-19 infected patients. This approach mainly attempts to minimize the number of hospital beds as well as emergency beds requirement for the treatment of COVID-19 infected patients to handle such a critical situation. In this work, higher priority has given to severe COVID-19 infected patients as compared to mild COVID-19 infected patients to handle this critical situation so that the survival probability of the COVID-19 infected patients can be increased. The proposed method is compared with first-come first-serve (FCFS)-based method to analyze the practical problems that arise during the assignment of hospital beds and emergency beds for the treatment of COVID-19 patients. The simulation of this work is carried out using MATLAB R2015b.

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Section: Proposed Methodologymentioning

confidence: 99%

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

Jena

Bhoi

Prasad

et al. 2021

Neural Comput & Applic

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A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making

Jena

Nayak

Bhoi

et al. 2022

Multimed Tools Appl

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Coronavirus Disease-19 (COVID-19) is a major concern for the entire world in the current era. Coronavirus is a very dangerous infectious virus that spreads rapidly from person to person. It spreads in exponential manner on a global scale. It affects the doctors, nurse and other COVID-19 warriors those who are actively involved for the treatment of COVID-19 infected (CI) patients. So, it is very much essential to focus on automation and artificial intelligence (AI) in different hospitals for the treatment of such infected patients and all should be very much careful to break the chain of spreading this novel virus. In this paper, a novel patient service robots (PSRs) assignment framework and a priority based (PB) method using fuzzy rule based (FRB) approach is proposed for the assignment of PSRs for CI patients in hospitals in order to provide safety to the COVID-19 warriors as well as to the CI infected patients. This novel approach is mainly focused on lowering the active involvement of COVID-19 warriors for the treatment of high asymptotic COVID-19 infected (HACI) patients for handling this tough situation. In this work, we have focused on HACI and low asymptotic COVID-19 infected (LACI) patients. Higher priority is given to HACI patients as compared to LACI patients to handle this critical situation in order to increase the survival probability of these patients. The proposed method deals with situations that practically arise during the assignment of PSRs for the treatment of such patients. The simulation of the work is carried out using MATLAB R2015b.

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Initial outcomes using a novel bedwetting alarm (Gogoband®) that utilizes real time artificial intelligence to wake users prior to wetting

Franco¹,

Coble²

2023

Journal of Pediatric Urology

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Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder

Cited by 5 publications

References 30 publications

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making

Initial outcomes using a novel bedwetting alarm (Gogoband®) that utilizes real time artificial intelligence to wake users prior to wetting

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