Prognostic value of metabolic tumor volume on [18F]FDG PET/CT in addition to the TNM classification system of locally advanced non-small cell lung cancer by Alexander Brose, Isabelle Miederer, Jochem König, Eleni Gkika, Jörg Sahlmann, Tanja Schimek-Jasch, Mathias Schreckenberger, Ursula Nestle, Jutta Kappes, Matthias Miederer

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Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology by Mateja Napravnik, Franko Hržić, Martin Urschler, Damir Miletić, Ivan Štajduhar

“…We compared the performance of ImageNet and RadiologyNET foundation models against training from randomly initialiased weights on several publicly available medical datasets: (i) Segmentation—LUng Nodule Analysis Challenge, (ii) Regression—RSNA Pediatric Bone Age Challenge, (iii) Binary classification—GRAZPEDWRI-DX and COVID-19 datasets, and (iv) Multiclass classification—Brain Tumor MRI dataset. …”
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Machine learning model design for high performance cloud computing & load balancing resiliency: An innovative approach by Nilayam Kumar Kamila, Jaroslav Frnda, Subhendu Kumar Pani, Rashmi Das, Sardar M.N. Islam, P.K. Bharti, Kamalakanta Muduli

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Association of preoperative health status with risk of complications after primary total hip arthroplasty: how useful are the measures self-rated health, ASA classification and com... by Alice Bonnefoy-Mazure, Donia Dellagiovanna, Christophe Barea, Didier Hannouche, Anne Lübbeke

“…The association was only significant in the first 3 months postoperative. For comorbidity count the adjusted HR was 3.6 (95%CI 1.9–6.8), and for ASA 3–4 h was 3.3 (95%CI 1.8–6.1). …”
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Automatic Gender Identification from Text by Vladimir Younkin, Marina Litvak, Irina Rabaev

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Early gestational diabetes mellitus risk predictor using neural network with NearMiss by Min Zhao, Xiaojie Su, Lihong Huang

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The association between medical diseases and orofacial abscess: A retrospective, hospital-based study by Hassan Abed, Majed Obaid, Khalid Al-Johani

“…Hypertension was found to be significantly high among female patients (X2 = 3.167, P-value < 0.001). Multivariable logistic regression analysis indicated that the female gender is significantly associated with the development of orofacial abscess after adjustment for age and vascular risk factors (i.e., hypertension) (B = 1.26, S.E. = 0.57, OR = 3.54, 95%CI = 1.13 to 11.40, P-value = 0.028). …”
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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

“…Specifically, the GA-PSO-MLP model achieves a 15 % higher classification accuracy than Logistic Regression, a 12 % improvement over Decision Trees, and an 8 % gain over Random Forests. …”
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Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya by Roman Shults, Ashraf Farahat, Muhammad Usman, Md Masudur Rahman

“…Different supervised classification methods were examined, including random forest, support vector machine, naïve-Bayes, and classification and regression tree (CART). …”
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The application of machine learning approaches to classify and predict fertility rate in Ethiopia  by Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie

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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

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Geometric morphometrics approach for classifying children’s nutritional status on out of sample data by Laura Medialdea, Ana Arribas-Gil, Álvaro Pérez-Romero, Amador Gómez

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Analyses of poverty indicators using PPI methodology by T. Merkulova, D. Kosiashvili

“…Developing the model was carried out using machine learning methods in several steps: 1) data processing and statistical analyses; 2) selection of significant indicators by the classification model; 3) clustering by k-mean algorithm; 4) hierarchical clustering; 5) comparing outcomes of modeling and interpretation of results. …”
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Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

“…To do this, a dataset of tweets was used, which was collected from 3 sources, as we mention later. The dataset was constructed in two variants, one with binary classification and the other with multi-classification. …”
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Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques by Etana Fikadu Dinsa, Mrinal Das, Teklu Urgessa Abebe, Krishnaraj Ramaswamy

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The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework by Anika Kreutzberg, Chrissa Tsatsaronis, Thomas G. Grobe, Wilm Quentin, Reinhard Busse, On behalf of the PopGroup consortium

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Anchor Dragging Risk Estimation Strategy from Supervised Cost-Sensitive Learning by Sang-Lok Yoo, Shem Otoi Onyango, Joo-Sung Kim, Kwang-Il Kim

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IMPACT OF FEATURE SELECTION ON DECISION TREE AND RANDOM FOREST FOR CLASSIFYING STUDENT STUDY SUCCESS by Firdaus Amruzain Satiranandi Wibowo, Heri Retnawati, Muhammad Lintang Damar Sakti, Asma Khoirunnisa, Angella Ananta Batubara, Miftah Okta Berlian, Zulfa Safina Ibrahim, Jailani Jailani, Sumaryanto Sumaryanto, Lantip Diat Prasojo

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AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP) by Elif Kartal, Fatma Önay Koçoğlu, Zeki Özen, İlkim Ecem Emre, Gürcan Güngör, Pervin Sutaş Bozkurt

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Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

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