Md. Maniruzzaman 研究室

主宰者：Md. Maniruzzaman

会津大学

AI 要約（直近 5 年の研究成果）

この研究室は、医療診断と神経・行動障害の検出を中心に、機械学習と深層学習を活用した自動診断システムの開発に取り組んでいます。パーキンソン病、注意欠陥・多動性障害（ADHD）、自閉スペクトラム症などの神経発達障害を、手書きパターンや脳活動、動画像などの非侵襲的なデータから検出する方法を研究しています。また医学画像（X線写真やCT画像）からの疾患診断、遺伝子発現データを用いたがんのバイオマーカー同定など、生体データの解析手法も広く展開しています。手法としては、統計解析と機械学習アルゴリズム（サポートベクトルマシン、勾配ブースティングなど）の組み合わせ、および事前学習済みの深層ニューラルネットワーク（CNN、RNN）の活用が特徴です。生物学的イメージング（質量分析イメージング）による薬物分布の可視化や、脳活動測定装置を含むマルチモーダルデータの統合解析も行っています。これらの手法を複数のデータセットに適用し、プラットフォームに依存しない信頼性の高い診断指標の確立を目指しています。複数の研究から共通して、早期診断の精度向上と計算効率化が主要なテーマとして浮かび上がります。限られた情報から疾患や個人特性を高精度で判別し、臨床現場やエッジデバイスでも実用可能なシステム構築を指向しており、個別化医療と予防医学への貢献を目標としています。

※ 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（60 件）

[2025] Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning
DOI: https://doi.org/10.1038/s41598-025-12115-2
[2025] A multimodal approach for ADHD with coexisting ASD detection for children
DOI: https://doi.org/10.1038/s41598-025-05000-5
[2025] Grid Search Based Hyperparameter-Tuned Deep Learning Model for Osteoporosis Diagnosis with Bi-Cubic Interpolation of X-Ray Images
DOI: https://doi.org/10.1007/s44230-025-00102-9
[2025] Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches
DOI: https://doi.org/10.1371/journal.pone.0317296
[2025] Enhancing Galantamine Distribution in Rat Brain Using Microplasma-Assisted Nose-to-Brain Drug Delivery
DOI: https://doi.org/10.3390/ijms26041710
[2025] Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma
DOI: https://doi.org/10.1371/journal.pone.0318215
[2025] MicroRNA dynamics, PTEN/PI3K/AKT signaling, and their relationship to breast cancer: prospects for pharmaceuticals and natural product application
DOI: https://doi.org/10.1007/s10549-024-07600-7
[2025] Video-Based Human Activity Recognition Using Hybrid Deep Learning Model
DOI: https://doi.org/10.32604/cmes.2025.064588
[2025] Investigation of the acidochromic properties of methoxy-substituted benzylidene hydrazines synthesized via microwave-assisted method
DOI: https://doi.org/10.1016/j.scenv.2025.100304
[2025] Accumulation of 13C-labeled phosphatidylethanolamine in the termite abdomen revealed by correlative isotope microscopy and mass microscopy
DOI: https://doi.org/10.1093/jmicro/dfaf045

続きを表示（残り 50 件）

[2024] Machine learning models for prediction of double and triple burdens of non-communicable diseases in Bangladesh
DOI: https://doi.org/10.1017/s0021932024000063
[2024] Skin cancer classification using Inception Network
DOI: https://doi.org/10.30574/wjarr.2024.21.2.0500
[2024] Classification of Hand-Movement Disabilities in Parkinson’s Disease Using a Motion-Capture Device and Machine Learning
DOI: https://doi.org/10.1109/access.2024.3386367
[2024] Machine Learning-Based ADHD Detection From fNIRs Signal During Reverse Stroop Tasks
DOI: https://doi.org/10.1109/access.2024.3411558
[2024] WGCNA and Machine Learning-Based Integrative Bioinformatics Analysis for Identifying Key Genes of Colorectal Cancer
DOI: https://doi.org/10.1109/access.2024.3472688
[2024] Online Handwriting-Based Gender Recognition Using Statistical and Machine Learning Approaches
DOI: https://doi.org/10.1109/access.2024.3424453
[2024] Dynamic Hand Gesture-Based Person Identification Using Leap Motion and Machine Learning Approaches
DOI: https://doi.org/10.32604/cmc.2024.046954
[2024] Effects of Board and Audit Committee Attributes on Bank Performance in Bangladesh
DOI: https://doi.org/10.31436/ijema.v32i2.1250
[2024] Overall Summery of Gulf Country Employees from Bangladesh, Preliminary Evaluation for Abnormal Kidney Liver and Virally Infected Individuals Using Low-cost Tests Like CBC Parameters
DOI: https://doi.org/10.9734/csji/2024/v33i4903
[2024] Pneumonia prediction using deep learning in chest X-ray Images
DOI: https://doi.org/10.30574/ijsra.2024.12.1.0880
[2024] Elucidating Gender-Specific Distribution of Imipramine, Chloroquine, and Their Metabolites in Mice Kidney Tissues through AP-MALDI-MSI
DOI: https://doi.org/10.3390/ijms25094840
[2024] Strain-induced changes in the electronic, optical and mechanical properties of the inorganic cubic halide perovskite Sr3PBr3 with FP-DFT
DOI: https://doi.org/10.1016/j.jpcs.2024.112053
[2024] Skin cancer classification using NASNet
DOI: https://doi.org/10.30574/ijsra.2024.11.1.0106
[2024] Empowering blockchain with SmartNIC: Enhancing performance, security, and scalability
DOI: https://doi.org/10.30574/wjarr.2024.22.1.1026
[2024] Endoscopic Management of Foreign Bodies in the Upper Gastrointestinal Tract: Experience from District Level Hospital of Bangladesh
DOI: https://doi.org/10.53339/aimdr.2024.10.2.4
[2023] Identifying ADHD for Children With Coexisting ASD From fNIRs Signals Using Deep Learning Approach
DOI: https://doi.org/10.1109/access.2023.3299960
[2023] Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models
DOI: https://doi.org/10.1109/tcbb.2023.3322753
[2023] Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia
DOI: https://doi.org/10.1371/journal.pone.0289613
[2023] Microsatellite marker-based genetic diversity assessment among exotic and native maize inbred lines of Bangladesh
DOI: https://doi.org/10.1016/j.sjbs.2023.103715
[2023] Curcumin, Diallyl Sulphide, Quercetin and Gallic Acid Uses as Anticancer and Therapeutic Agents for Breast Cancer: Current Strategies and Future Perspectives
DOI: https://doi.org/10.24018/ejmed.2023.5.3.1699
[2023] Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning
DOI: https://doi.org/10.1038/s41598-023-30851-1
[2023] Smoke-free status of homes and workplaces among Indian people: Evidence from Global Adult Tobacco SurveyData-2016/2017
DOI: https://doi.org/10.1371/journal.pone.0282138
[2023] 2D Camera-Based Air-Writing Recognition Using Hand Pose Estimation and Hybrid Deep Learning Model
DOI: https://doi.org/10.3390/electronics12040995
[2023] Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques
DOI: https://doi.org/10.1109/access.2023.3264266
[2023] Handwriting-Based ADHD Detection for Children Having ASD Using Machine Learning Approaches
DOI: https://doi.org/10.1109/access.2023.3302903
[2023] Predicting the risk of diabetic retinopathy using explainable machine learning algorithms
DOI: https://doi.org/10.1016/j.dsx.2023.102919
[2023] Syphilis Outbreak in Japan, an Emerging Concern
DOI: https://doi.org/10.1177/11786361231209610
[2023] Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance With Integrated GP Kernels
DOI: https://doi.org/10.1109/access.2023.3336422
[2022] Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques
DOI: https://doi.org/10.1080/20476965.2022.2141141
[2022] Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal
DOI: https://doi.org/10.32604/cmc.2022.028339
[2022] Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh
DOI: https://doi.org/10.1371/journal.pone.0276718
[2022] Online Kanji Characters Based Writer Identification Using Sequential Forward Floating Selection and Support Vector Machine
DOI: https://doi.org/10.3390/app122010249
[2022] ADHESION OF COPPER WITH DIFFUSION BARRIER LAYER FOR COPPER INTERCONNECTION
DOI: https://doi.org/10.53808/kus.2007.8.1.0636-e
[2022] AN ANALYTICAL MODEL OF SUBSTRATE CURRENT IN A SHORT CHANNEL MOSFET
DOI: https://doi.org/10.53808/kus.2007.8.1.0629-e
[2022] Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models
DOI: https://doi.org/10.1038/s41598-022-18273-x
[2022] Iron and Folic Acid Supplementation in Pregnancy: Findings from the Baseline Assessment of a Maternal Nutrition Service Programme in Bangladesh
DOI: https://doi.org/10.3390/nu14153114
[2022] Predicting risks of low birth weight in Bangladesh with machine learning
DOI: https://doi.org/10.1371/journal.pone.0267190
[2022] RETRACTED ARTICLE: COVID-19 diagnostic methods in developing countries
DOI: https://doi.org/10.1007/s11356-022-21041-z
[2022] Drug Promising Effect for Diabetic Mice of CARICA PAPAYA Leaves
DOI: https://doi.org/10.24018/ejpharma.2022.2.3.47
[2022] Important Features Selection and Classification of Adult and Child from Handwriting Using Machine Learning Methods
DOI: https://doi.org/10.3390/app12105256
[2022] Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis
DOI: https://doi.org/10.3390/app12052737
[2022] THE METHANOLIC EXTRACT OF MIMOSA PIGRA LEAVES REDUCES THE SEVERITY OF DIARRHEA AS WELL AS INHIBITS THE GROWTH OF DIARRHEA-CAUSING BACTERIA
DOI: https://doi.org/10.22159/ijpps.2022v14i3.43603
[2022] Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh
DOI: https://doi.org/10.1016/j.ijcce.2022.02.002
[2021] Risk Factors Identification and Prediction of Anemia among Women in Bangladesh using Machine Learning Techniques
DOI: https://doi.org/10.2174/1573404817666210215161108
[2021] Identifying the factors causing malnutrition and its impact on mortality among under-five Bangladeshi children
DOI: https://doi.org/10.5114/fmpcr.2021.108185
[2021] Epileptic seizure identification in EEG signals using DWT, ANN and sequential window algorithm
DOI: https://doi.org/10.1016/j.socl.2021.100026
[2021] Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data
DOI: https://doi.org/10.1016/j.dsx.2021.102263
[2021] Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach
DOI: https://doi.org/10.1371/journal.pone.0253172
[2021] Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh
DOI: https://doi.org/10.1016/j.dsx.2021.03.035
[2021] Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries
DOI: https://doi.org/10.1371/journal.pone.0245923

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AI 要約（直近 5 年の研究成果）

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研究成果（60 件）

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