Step-by-step one-way ANOVA analysis with the Jamovi program

Milanes-Baños, Norma A.

doi:10.29057/mjmr.v12i23.10664

Cited by 2 publications

References 7 publications

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Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes

Darshan,

Sampathila,

Bairy

et al. 2025

Sci Rep

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As per world health organization, Anemia is a most prevalent blood disorder all over the world. Reduced number of Red Blood Cells or decrease in the number of healthy red blood cells is considered as Anemia. This condition also leads to the decrease in the oxygen carrying capacity of the blood. The main goal of this research is to develop a dependable method for diagnosing Aplastic Anemia and Iron Deficiency Anemia by examining the blood test attributes. As of today, there are no studies which use Interpretable Artificial Intelligence to perform the above differential diagnosis. The dataset used in this study is collected from Kasturba Medical College, Manipal. The dataset consisted of various blood test attributes such as Red Blood cell count, Hemoglobin level, Mean Corpuscular Volume, etc. One of the trending topics in Machine Learning is Explainable Artificial Intelligence. They are known to demystify the machine learning outputs to all its stakeholders. Hence, Five XAI tools including SHAP, LIME, Eli5, Qlattice and Anchor are used to understand the model’s predictions. The importance characteristics according to XAI models are PLT, PCT, MCV, PDW, HGB, ABS LYMP, WBC, MCH, and MCHC. are employed to train and test the data. The goal of using data analytic techniques is to give medical professionals a useful tool that improves decision-making, enhances resource management, and eventually raises the standard of patient care. By considering the unique qualities of each patient, medical professionals who must rely on AI-assisted diagnosis and treatment suggestions, XAI offers arguments to strengthen their faith in the model outcomes.

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Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes

Darshan,

Sampathila,

Bairy

et al. 2025

Sci Rep

View full text Add to dashboard Cite

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Evaluating Service Quality of Europe's Leading Airports Using Skytrax Ratings After Istanbul Airport's Launch

Akan,

Karataş

2024

Advances in Marketing, Customer Relationship Management, and E-Services

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The aim of this study is to evaluate the service quality of the five busiest airports in Europe, namely Istanbul Airport, London Heathrow Airport, Paris Charles De Gaulle Airport, Amsterdam Schiphol Airport, and Madrid Barajas, based on data from Skytrax, which ranks the quality of airlines and airports. These ratings consider a range of criteria, including terminal seating, terminal cleanliness, terminal signs, queuing times, food and beverage, Wi-Fi connectivity, airport shopping, and airport staff. Additionally, overall satisfaction ratings for these services are also included. This study examines the impact of these criteria on overall customer satisfaction using multiple regression analysis. A total of 511 airport ratings collected between January 1, 2019, and May 1, 2024, were used for the analysis, which was conducted using Jamovi. The results show that airport staff and queuing times are the most influential factors on total passenger satisfaction, while terminal cleanliness, terminal signs, and Wi-Fi connectivity do not have a significant impact on customer satisfaction.

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Step-by-step one-way ANOVA analysis with the Jamovi program

Cited by 2 publications

References 7 publications

Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes

Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes

Evaluating Service Quality of Europe's Leading Airports Using Skytrax Ratings After Istanbul Airport's Launch

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