A Radar-Based System for Detection of Human Fall Utilizing Analog Hardware Architectures of Decision Tree Model by Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis

“…The proposed classifier architectures are based on different approximations of the Decision tree classification model. The architectures consist of three main building blocks: sigmoid function circuit, analog multiplier and an argmax operator circuit. …”
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Diagnosis model for gastric submucosal tumor based on multiple decision trees comprising endoscopic and endoscopic ultrasonography features by Shen Su, Shun-Yao Wu, Yun-He Tang, Lin-Lin Ren, Fan Yin, Yu-Shuang Xu, Xiao-Yu Li, Hua Liu, Shao-Hua Zhang, Xing-Lin Zhang, Zi-Bin Tian, Tao Mao

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Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients by Xuefeng Sun, Zilin Wang, Yuqing Song, Deyu Cong, Shu Sun, Xinye Zhang, Ye Zhang, Hongshi Zhang

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Predictors of suicidality in critical care ICU patients after discharge: A cross-sectional study by J V Ashwin, Mohit K. Shahi, Astha Singh, Bhupendra Singh, Shashank Saurabh Sinha, S. Theepan Kumar

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Development and Evaluation of a GPT4-Based Orofacial Pain Clinical Decision Support System by Charlotte Vueghs, Hamid Shakeri, Tara Renton, Frederic Van der Cruyssen

“…In the subset of 24 cases, the model’s performance was comparable to non-expert human evaluators but was surpassed by clinical experts, who correctly diagnosed 54% of cases at level 3. …”
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Risk Factors and Predictive Models for Sarcopenia in Older Adults by Shiyuan Zhang, Xue Yang, Nina An, Meng Lv, Lanyu Yang, Rui Liu, Song Hu, Weiguo Chen, Wenjing Feng, Yongjun Mao

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Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques by Muzammil Khan, Azmat Ali, Yasser Alharbi

“…The study proposes a crime prediction model by analyzing and comparing three known prediction classification algorithms: Naive Bayes, Random Forest, and Gradient Boosting Decision Tree. …”
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Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models by Olushina Olawale Awe, Peter Njoroge Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho, Olanrewaju Samuel Oyejide

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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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Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases by Huai-wen Zhang, Yi-ren Wang, Bo Hu, Bo Song, Zhong-jian Wen, Lei Su, Xiao-man Chen, Xi Wang, Ping Zhou, Xiao-ming Zhong, Hao-wen Pang, You-hua Wang

“…Among the base models, the support vector machine model demonstrated the best performance in the three classifications (AUC = 0.922, 0.909, and 0.928). …”
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EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification by Tahir Hussain, Hayaru Shouno, Abid Hussain, Dostdar Hussain, Muhammad Ismail, Tatheer Hussain Mir, Fang Rong Hsu, Taukir Alam, Shabnur Anonna Akhy

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Assessing ResNeXt and RegNet Models for Diabetic Retinopathy Classification: A Comprehensive Comparative Study by Samara Acosta-Jiménez, Valeria Maeda-Gutiérrez, Carlos E. Galván-Tejada, Miguel M. Mendoza-Mendoza, Luis C. Reveles-Gómez, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Antonio García-Domínguez

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Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers by B. Shamreen Ahamed, Meenakshi S. Arya, S. K. B. Sangeetha, Nancy V. Auxilia Osvin

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A Structured AHP-Based Approach for Effective Error Diagnosis in Mathematics: Selecting Classification Models in Engineering Education by Milton Garcia Tobar, Natalia Gonzalez Alvarez, Margarita Martinez Bustamante

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A severity classification model of cervical spondylotic radiculopathy symptoms based on MRI radiomics: A retrospective study. by Xi Wang, Qiaoli Tao, Huanwen Liu, Huangbo Lin, Honglai Zhang

“…<h4>Conclusion</h4>The severity classification model of CSR symptoms based on MRI radiomics demonstrates robust predictive performance in assessing the severity of CSR symptoms, serving as an effective decision-support tool for guiding personalized therapeutic strategies in clinical practice.…”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

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Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization by Castaka Agus Sugianto, Dini Rohmayani, Jhoanne Fredricka, Mohamed Doheir

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Comparative Analysis of Machine Learning and Deep Learning Models for Classification and Prediction of Liver Disease in Patients with Hepatitis C by Shalem Preetham Gandu, M. Roshni Thanka, E. Bijolin Edwin, Ebenezer Veemaraj, S. Stewart Kirubakaran

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GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images by Md. Zahid Hasan, Md. Awlad Hossen Rony, Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Ahmed A. Moustafa

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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

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