Adapting Existing Hospitals for Infectious Disease Prevention and Control

Elsaadany, Ahmed; Ahmed, Kawsar

doi:10.21608/erjeng.2022.265223

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…planning is of great importance. Emergency department relation with other departments of hospital especially radiology and/or laboratory is very critical to aid the early diagnosis even with normal conditions or in case of infection [2][3][4]. Ischemic Stroke (IS) and Hemorrhagic Stroke (HS) are the two primary subtypes of stroke.…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Approach for Stroke Differential Diagnosis by Blood Biomarkers

Sherif,

Ahmed

2024

JAIT

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Stroke happens when a clot blocks the blood supply to a region of the brain (ischemic stroke) or when an artery ruptures or spills blood (hemorrhagic stroke). Seeking medical care after a stroke may increase one's chances of survival and reduce long-term brain damage. Neuroimaging helps determine who and how to treat, although it is costly, not always accessible, and may have contraindications. These constraints lead to these reperfusion treatments being underutilized. Using a blood biomarker panel capable of consistently differentiating between ischemic stroke and intracerebral hemorrhage might be very beneficial and straightforward to deploy. Therefore, this study describes a system to speed and improve stroke diagnosis. Using four machine learning algorithms: Support Vector Machine (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS), K-Nearest Neighbor (KNN), and Decision Tree (DT), we aim to find promising blood biomarker candidates for differential stroke diagnosis. A two-stage binary classifier model was created to classify the stroke group vs. the normal group and then categorize the instances allocated to the stroke group into ischemic and hemorrhagic groups. Our findings reveal that SVM is better than ANN, ANFIS, and DT for distinguishing strokes in Egyptian patients, according to our data. The most important blood features are Absolute (ABS) Neutro, Creatine Phosphokinase (CPK), Neutro/Neutrophils, and White Blood Cell (WBC) Count/Leukocytes laboratory tests that may serve as crucial and significant indications for stroke diagnosis. The selected characteristics and a twostage binary classifier discriminated with higher accuracy (Ischemic and hemorrhagic patients). This method for identifying and classifying brain strokes was accurate, easy to use, and cost-effective.

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Section: Introductionmentioning

confidence: 99%

A Machine Learning Approach for Stroke Differential Diagnosis by Blood Biomarkers

Sherif,

Ahmed

2024

JAIT

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“…The created models analyzed the capacity of sterilization equipment, cartwashing, staff shifts, and department configuration to measure surgery delay rate, and to plan the expected patient increase in future [10]. Others consider the control and prevention of infectious diseases, isolation rooms and basics of medical building design [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Optimum Sterilization Department Design in Low-Medium Healthcare Facilities

Sayed Ahmed,

Farouk Shereif

2023

IJBECS

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Due to importance of sterilization department design and its relation to rest of sections in hospitals, selection of department location together with internal pathways are very critical issue in hospital design. To minimize the time of sterilization and comply with Infection control rules, the design of sterilization department should follow some specs and guidelines that to facilitate the operation processes and to have maximum effectiveness. In this research, some designs have been studied considering the hospital capacities (Low and medium), available space area for department, operating theater department (number of operating rooms), waste management in addition to sterilization equipment capacities that to optimize the required spaces and area that fit the needed guidelines. The results of this study are to evaluate the current designs and their relations to different departments and indicate the important points of design in addition to illustrating the optimum design for area and cost after applying logistic regression. The results reveal that hospitals with under 100 patient beds capacity and with a maximum of four operating rooms can fit their required functions and guidelines in only two sub-sections areas of CSSD in about 35-50 M2. The two sub-sections are one area for decontamination and washing and the second area is for packing and sterilization together with storage area.

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Medical Equipment Real-Time Locating System in Hospitals Based on Bluetooth Low Energy

Sherif,

Ahmed

2024

Lecture Notes in Computer Science

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Adapting Existing Hospitals for Infectious Disease Prevention and Control

Cited by 3 publications

References 11 publications

A Machine Learning Approach for Stroke Differential Diagnosis by Blood Biomarkers

A Machine Learning Approach for Stroke Differential Diagnosis by Blood Biomarkers

Optimum Sterilization Department Design in Low-Medium Healthcare Facilities

Medical Equipment Real-Time Locating System in Hospitals Based on Bluetooth Low Energy

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