Amena Mahmoud 研究室

主宰者：Amena Mahmoud

上智大学

AI 要約（直近 5 年の研究成果）

この研究室は、医療・農業・製造業など様々な分野における実際のデータを対象に、機械学習と深層学習の手法を応用して、診断精度の向上や予測精度の向上を目指している。具体的には、がん診断（乳がん、脳腫瘍、肝臓がん、大腸がん）や感染症検出（COVID-19、マラリア、肺疾患）といった医療応用、さらには心臓病リスク評価や神経外科患者の転帰予測など、多岐にわたる健康関連の課題に取り組んでいる。手法としては、画像データ（胸部X線、超音波、脳MRI、顕微鏡画像）を分析する深層ニューラルネットワークや、電子カルテから抽出した多数の患者データを用いた統計モデル、さらには自然言語処理を組み合わせた解析を行っている。また、構造化データの抽出精度やモデルの信頼性・解釈可能性を重視し、単なる予測精度だけでなく、ハルシネーション（誤った情報生成）の制御やXAI（説明可能AI）を通じた医学的意思決定支援を実現しようとしている。さらに、医療以外にも農業（作物病害検出・収量予測）、製造業（設備故障予測）、都市インフラ（交通管理、センサーネットワーク管理）といった領域でも同様のアプローチを展開し、実世界のデータセットを活用した実用的な予測モデルの構築に注力している。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（35 件）

[2025] Explainable AI for Prognostic Factor Identification in Colorectal Cancer: An Electronic Health Records Analysis
DOI: https://doi.org/10.59543/ijmscs.v3i.15123
[2025] Harnessing deep learning to analyze climate change impacts on crop production
DOI: https://doi.org/10.1016/j.aej.2025.04.008
[2025] Advanced LLMs for Drug–Effect Relation Prediction: Accuracy, Hallucination Control, and Computational Efficiency
DOI: https://doi.org/10.1109/acit68900.2025.11510623
[2025] The Impact of Employee’s Awareness of Food Safety in Egyptian Hotels: Machine Learning Approach
DOI: https://doi.org/10.1016/j.procs.2025.03.319
[2025] Exploring Diagnostic Innovations: Survey of Deep Learning Models for Lung Disease Classification
DOI: https://doi.org/10.1109/ic2nc67409.2025.11376460
[2024] Deep Learning-Based Early Detection of Breast Cancer: Improving Accuracy and Efficiency in Diagnosis for Enhanced Patient Outcomes
DOI: https://doi.org/10.1109/ic3se62002.2024.10593396
[2024] Machine Learning-Driven Condition Monitoring and Fault Detection in Manufacturing
DOI: https://doi.org/10.1109/icetas62372.2024.11120241
[2024] Machine Learning-Based Leukemia Classification Using Gene Expression for Accurate Diagnosis
DOI: https://doi.org/10.1109/icetas62372.2024.11120204
[2024] Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework
DOI: https://doi.org/10.1007/s40747-024-01406-2
[2024] Machine Learning-Based Liver Cancer Classification Using Gene Expression Microarray Data
DOI: https://doi.org/10.1109/icetas62372.2024.11119847

続きを表示（残り 25 件）

[2023] Application of Machine Learning for Cardiovascular Disease Risk Prediction
DOI: https://doi.org/10.1155/2023/9418666
[2023] Customer Personality Analysis for Churn Prediction Using Hybrid Ensemble Models and Class Balancing Techniques
DOI: https://doi.org/10.1109/access.2023.3334641
[2023] Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images
DOI: https://doi.org/10.1038/s41598-023-41633-0
[2023] Optimized<scp>LightGBM</scp>model for security and privacy issues in<scp>cyber‐physical</scp>systems
DOI: https://doi.org/10.1002/ett.4771
[2023] Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging
DOI: https://doi.org/10.3390/sym15030571
[2023] COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs
DOI: https://doi.org/10.1016/j.eswa.2023.120477
[2023] Henry gas solubility optimization double machine learning classifier for neurosurgical patients
DOI: https://doi.org/10.1371/journal.pone.0285455
[2023] Fault Prediction Recommender Model for IoT Enabled Sensors Based Workplace
DOI: https://doi.org/10.3390/su15021060
[2023] EfficientNetB3-Adaptive Augmented Deep Learning (AADL) for Multi-Class Plant Disease Classification
DOI: https://doi.org/10.1109/access.2023.3303131
[2023] MD-MARS: Maintainability Framework Based on Data Flow Prediction Using Multivariate Adaptive Regression Splines Algorithm in Wireless Sensor Network
DOI: https://doi.org/10.1109/access.2023.3240504
[2023] Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19
DOI: https://doi.org/10.32604/csse.2023.038384
[2022] An Intelligent Classification System for Cancer Detection Based on DNA Methylation Using ML and Semantic Knowledge in Healthcare
DOI: https://doi.org/10.1155/2022/4334852
[2022] Text-Based Emotion Recognition Using Deep Learning Approach
DOI: https://doi.org/10.1155/2022/2645381
[2022] Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields
DOI: https://doi.org/10.3390/jimaging8070190
[2022] Performance Analysis for COVID-19 Diagnosis Using Custom and State-of-the-Art Deep Learning Models
DOI: https://doi.org/10.3390/app12136364
[2022] Simulation of IoT‐based Vehicular Ad Hoc Networks (VANETs) for Smart Traffic Management Systems
DOI: https://doi.org/10.1155/2022/3378558
[2022] Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease
DOI: https://doi.org/10.3389/fncom.2022.1000435
[2021] A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources
DOI: https://doi.org/10.1016/j.bspc.2021.103441
[2021] A LEARNER CENTRIC BLENDED E- LEARNING CONTENT RECOMMENDATION SYSTEM
[2021] Amino Acid Encryption Method Using Genetic Algorithm for Key Generation
DOI: https://doi.org/10.32604/cmc.2022.019455
[2021] Improving Reconstructed Image Quality Via Hybrid Compression Techniques
DOI: https://doi.org/10.32604/cmc.2021.014426
[2021] A Survey of Computational Toxicology Approaches
DOI: https://doi.org/10.21608/kjis.2021.41013.1008
[2021] Intelligent Video Moving Target Detection Based on Multi-Attribute Single Value Medium Neutrosophic Method
DOI: https://doi.org/10.54216/jisiot.050105
[2021] Analyzing Customer Reviews on Social Media via Applying Association Rule
DOI: https://doi.org/10.32604/cmc.2021.016974
[2021] Using Semantic Web Technologies to Improve the Extract Transform Load Model
DOI: https://doi.org/10.32604/cmc.2021.015293

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（35 件）

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