Interpretability of machine learning-based prediction models in healthcare
Stiglic, Gregor, Kocbek, Primoz, Fijacko, Nino, Zitnik, Marinka, Verbert, Katrien, Cilar, Leona·2020·WIREs Data Mining and Knowledge Discovery
Cited by (416)
Items 201–300 of 416
- Interpretability and Explainability of Machine Learning Models: Achievements and ChallengesJorge M. O. Henriques, Teresa Rocha, P. Carvalho, Catarina Silva, Simão Paredes · 2024 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
- Clinical Artificial IntelligenceMatthew B. A. McDermott, Bret Nestor, Peter Szolovits · 2022 · Clinics in Laboratory Medicine
- REM: An Integrative Rule Extraction Methodology for Explainable Data Analysis in HealthcareZohreh Shams, Botty Dimanov, Sumaiyah Kola, Nikola Simidjievski, Helena Andres Terre, Paul Scherer, Urška Matjašec, Jean Abraham, Mateja Jamnik, Píetro Lió · 2021 · medRxiv
- Error-Aware Generative Reasoning for Zero-Shot Visual GroundingYuqi Bu, Xin Wu, Yi Cai, Qiong Liu, Tao Wang, Qingbao Huang · 2025 · IEEE Transactions on Multimedia
- Artificial Intelligence Meets Nail Diagnostics: Emerging Image-Based Sensing Platforms for Non-Invasive Disease DetectionTejrao Panjabrao Marode, Vikas K. Bhangdiya, Shon G. Nemane, Dhiraj P. Tulaskar, Vaishnavi M. Sarad, K. Sankar, Sonam Chopade, Ankita Avthankar, Manish L. Bhaiyya, Madhusudan B. Kulkarni · 2026 · Bioengineering
- Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping ReviewFilipe Fernandes, Lucy Shinners, Mauro Mota, Paulo Santos, Luís Sá · 2026 · Nursing and Health Sciences
- Artificial Intelligence-Driven Wearable Sensors for Cardiovascular Health MonitoringH T Deng, Biao Ma, Gangsheng Chen, Junjie Chi, Jiayi Tong, Fuchao Yu, Bo Lü, Yuehua Chen, Chao Zhao, C Zhang et al. · 2026 · ACS Sensors
- Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive DisorderCyrus S. H. Ho, Trevor Wei Kiat Tan, Howard Cai Hao Khoe, Yee Ling Chan, Gabrielle Wann Nii Tay, Tong Boon Tang · 2024 · Journal of Clinical Medicine
- Dual-Stage Attention-Based Model for Rehabilitation Activity Recognition Using Data From Wearable SensorsYouness El Marhraoui, Oumaïma Bounhar, Mehdi Boukallel, Margarita Anastassova, Stéphane Bouilland, Mehdi Ammi · 2024 · IEEE Internet of Things Journal
- Optimizing tacrolimus dosage in post-renal transplantation using DoseOptimal framework: profiling CYP3A5 genetic variants for interpretabilityChintal Upendra Raval, Ashwin Makwana, Samir Gunvantbhai Patel, Rashmi J. Hemani, Sachchida Nand Pandey · 2025 · International Journal of Clinical Pharmacy
- Impact of Aging Microbiome on Metabolic Profile of Natural Aging Huangjiu through Machine LearningHuakun Yu, Shuangping Liu, Zhilei Zhou, Hongyuan Zhao, Yuezheng Xu, Jian Mao · 2023 · Foods
- Explainable Deep Learning Based-System for Multilabel Classification of 12-Lead ECGYousra Chahinez Hadj Azzem, Fouzi Harrag · 2023 · International Conference on Networking and Advanced Systems (ICNAS)
- An interpretable machine learning model for trajectory prediction based on nonlinear dynamics mechanism constraints: applications for HVsDengji Zhou, Dawen Huang, Yaoxin Shen · 2023 · Neural Computing and Applications
- Long-term meteorology-adjusted and unadjusted trends of PM2.5 using the AirGAM model over Delhi, 2007–2022Chetna Chetna, Surendra Kumar Dhaka, Sam-Erik Walker, Vikas Rawat, Narendra Singh · 2024 · Atmospheric Environment X
- Queueing inspired feature engineering to improve and simplify patient flow simulation metamodelsMark W. Isken, Osman T. Aydas, Yazan F. Roumani · 2023 · Journal of Simulation
- Technology Management for Accelerated Recovery during COVID-19Swapnil Morandé, Veena Tewari · 2020 · SEISENSE Journal of Management
- Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic PairingDongjie Wang, Kunpeng Liu, Aziz Mohaisen, Pengyang Wang, Chang‐Tien Lu, Yanjie Fu · 2021 · Frontiers in Big Data
- Multimodal data-driven approaches in retinal vein occlusion: A narrative review integrating machine learning and bioinformaticsChunlan Liang, Lian Liu, Jingxiang Zhong · 2025 · Advances in Ophthalmology Practice and Research
- A Novel Interpretable Lightweight Ensemble Learning Method for Static and Dynamic Medical and Healthcare Data ClassificationBo Sun, Hua‐Liang Wei · 2025 · ICCK Transactions on Emerging Topics in Artificial Intelligence
- Wear classification in Ti6Al4V machining using explainable machine learning: a decision support approachAlex Fernandes de Souza, LEONARDO LOURENÇO DE SOUZA, JULIANA HELENA DAROZ GAUDENCIO · 2026 · Journal of the Brazilian Society of Mechanical Sciences and Engineering
- Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability QuestionnaireAdrijana Svenšek, Lucija Gosak, Mateja Lorber, Gregor Štiglic, Nino Fijačko · 2025 · JMIR mhealth and uhealth
- Alternative Strategies to Generate Class Activation Maps Supporting AI-based Advice in Vertebral Fracture Detection in X-ray ImagesSamuele Pe, Lorenzo Famiglini, Enrico Gallazzi, Chandra Bortolotto, Luisa Carone, Andrea Cisarri, Alberto Salina, Lorenzo Preda, Riccardo Bellazzi, Federico Cabitza et al. · 2024 · Methods of Information in Medicine
- Machine learning to improve predictive performance of prehospital early warning scoresLogan Ward, Tim Alex Lindskou, Mads Lause Mogensen · 2025 · Scientific Reports
- A Survey on Tools and Techniques for Localizing Abnormalities in X-ray Images Using Deep LearningMuhammad Aasem, Muhammad Javed Iqbal, Iftikhar A. Ahmad, Madini Obad Alassafi, Ahmed Alhomoud · 2022 · Mathematics
- Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be moreKord M. Kober, Ritu Roy, Yvette P. Conley, Anand Dhruva, Marilyn J. Hammer, Jon D. Levine, Adam B. Olshen, Christine A. Miaskowski · 2023 · Supportive Care in Cancer
- Investigating Key Contributors to Hospital Appointment No-Shows Using Explainable AIVersse Yiye, Ogochukwu Ugbomeh, C. P. Ezenkwu, Ebuka Ibeke, Vandana Sharma, A. Alkhayyat · 2024 · 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT)
- An Interpretable Sensor Selection Strategy for Array Optimization and Performance EnhancementHaixia Mei, Jingyi Peng, Tao Wang, Bowei Zhang, Fuzhen Xuan · 2025 · ACS Sensors
- Detailed review on Integrated Healthcare Prediction System Using Artificial Intelligence and Machine LearningDeepa Parasar, Arif Ali, N.Muthuvairavan Pillai, Archana Shahi, Badria Sulaiman Alfurhood, Kumud Pant · 2023 · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
- Machine Learning for Smart Health Services in the Framework of Industry 5.0Nitendra Kumar, Padmesh Tripathi, R. Pavitra Nanda, Sadhana Tiwari, Samarth Sharma · 2024 · Advances in web technologies and engineering book series
- Skinformatics: Navigating the big data landscape of dermatologyDorra Guermazi, Asghar Shah, Sara Yumeen, Terrence M. Vance, Elie Saliba · 2024 · Journal of the European Academy of Dermatology and Venereology
- Ethical Issues Raised by Artificial Intelligence and Big Data in Population Health: A Scoping ReviewCouture, Vincent, Roy, Marie-Christine, Dez, Emma, Tremblay, Fannie, Bélisle-Pipon, Jean-Christophe · 2025 · Frontiers in Sociology
- Automated detection of neonatal pulmonary hypertension in echocardiograms with a deep learning modelHolger Michel, Ece Özkan, Kieran Chin-Cheong, Anna Badura, Verena Lehnerer, Stephan Gerling, Julia Elisabeth Vogt, Sven Matthias Wellmann · 2025 · Pediatric Research
- A Machine Learning Tool to Predict Survival After First Surgery in Peripheral Artery Disease PatientsMartina Doneda, Ettore Lanzarone, Fabio Riccardo Pisa, Bianca Pane, Giovanni Pratesi, Giovanni Spinella · 2025 · Journal of Cardiovascular Translational Research
- Integrating SHAP Interpretability and Ensemble Machine Learning To Optimize Conductivity in Flexible Electronic PolymersWanxiu Zhao, Zhitao He, Zhizhen Wu, Yi Zhou, Zhao Ding, Hongxiang Chen, Yang Zhou · 2025 · ACS Applied Polymer Materials
- Travel time prediction: unveiling the impact of spatio-temporal features on trip duration with eXplainable AINishtha Srivastava, Bhavesh N. Gohil, Suprio Ray · 2025 · Transportation
- Classification models comparison from the user’s level of interpretabilityLenka Dobranská, Anna Biceková, František Babič · 2023 · IEEE International Symposium on Computational Intelligence and Informatics (CINTI)
- Individual-specific postural discomfort prediction using decision tree modelsSoomin Hyun, Hyunju Lee, Woojin Park · 2024 · Applied Ergonomics
- Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patientsFletcher Barrett, Sarah Quirk, Kailyn Stenhouse, Karen Long, Michael B. Roumeliotis, Sangjune Laurence Lee, Roberto Medeiros de Souza, Philip McGeachy · 2024 · Biomedical Physics & Engineering Express
- Development and Internal Validation of a Machine Learning-Based Colorectal Cancer Risk Prediction ModelDeborah Jael Herrera, Daiane Maria Seibert, Karen Feyen · 2025 · Gastrointestinal Disorders
- Analyzing resuscitation conference content through the lens of the chain of survivalNino Fijačko, Sebastian Schnaubelt, Vinay Nadkarni · 2025 · Resuscitation Plus
- Genomic prediction of plant traits by popular machine learning methodsKonstantin N. Kozlov, Mikhail Bankin, E. A. Semenova, Maria G. Samsonova · 2025 · Vavilov Journal of Genetics and Breeding
- Toward Neurosymbolic Program ComprehensionAlejandro Velasco, Aya Garryyeva, David N. Palacio, Antonio Mastropaolo, Denys Poshyvanyk · 2025 · IEEE International Conference on Program Comprehension (ICPC)
- A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series DataChenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Hongyan Li, Shenda Hong · 2026 · Health Data Science
- Mitigating Preconception in Machine Learning ClassifiersHenry Mutisya Ngie, Lawrence Nderu, Leah Mwaura Mutanu, Dorcas Gicuku Mwigereri · 2021 · International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
- Analyzing the Effectiveness of ML Agents in Enhancing the Predictive Model in Decision Making for Medical Practitioners in the Healthcare Industry: A Structural Equation Model AnalysisAnand Prakash Dube, Raghav Yadav · 2022 · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
- Sanity Check for Shapley values-based explanations of Deep Neural Networks PredictionsRosalia Tatano, Antonio Mastropietro, Enrico Busto, Francesco Vaccarino · 2022 · IEEE International Conference on Healthcare Informatics (ICHI)
- Multivariable prediction model of complications derived from diabetes mellitus using machine learning on scarce highly unbalanced dataClaudia Carolina Colmenares Mejía, Juan Carlos Rincon Acuña, Andrés Cely Jiménez, Abel E. González-Vélez, Andrea Castillo, Jossie Murcia, Mario A. Isaza-Ruget · 2023 · International Journal of Diabetes in Developing Countries
- Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future TrendsMohan Timilsina, Samuele Buosi, Ping Song, Yang Yang, Rafiqul Haque, Edward Curry · 2023 · IEEE International Conference on Big Data (BigData)
- Effective Stroke Prediction using Machine Learning Algorithms2024 · Australian Journal of Engineering and Innovative Technology
- Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes MellitusLeon Kopitar, Iztok Fister, Gregor Štiglic · 2024 · Information
- Advancing bioenergy: leveraging artificial intelligence for efficient production and optimizationSayan Adhikary, Srijaa Sau, Shrestha Debnath, Dipankar Ghosh · 2024 · Elsevier eBooks
- Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm OptimizationEmad A. Abood, Mustafa Kamal Al-Kamal, Sabih Hashim Muhodir · 2025 · Buildings
- Convolutional neural networks for diabetic retinopathy detectionDarwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Adrián Chóez Acosta, Freddy Burgos Robalino · 2025 · Ingenius
- Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysisBardia Hajikarimloo, Ibrahim Mohammadzadeh, Azin Ebrahimi, Salem M Tos, Rana Hashemi, Arman Hasanzade, Mohammad Amin Habibi · 2025 · European Spine Journal
- The role of implementing Machine Learning approaches in enhancing the effectiveness of HealthCare serviceS. K. UmaMaheswaran, NVLM Krishna Munagala, Deepti Mishra, Bestoon Othman, S. SINTHU, Vikas Tripathi · 2022 · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
- Academic Prediction in Multi-modal Learning Environments Using Data FusionWilson Gustavo Chango, Santiago Israel Logroño Naranjo, Ana Salguero, Néstor Augusto Estrada Brito · 2024 · Lecture notes in networks and systems
- An Interpretable Palmprint Recognition Approach Using a CNN and Explainable-AI FrameworksAakash Bhandary, Chintan Bhatt, Rinkal Jain · 2024 · Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit)
- Research, Ethics and Artificial Intelligence Challenges and OpportunitiesCarlos Alberto Gómez Cano · 2025 · Lecture notes in networks and systems
- Exploring the Impact of Home-Based Serious Smartphone Resuscitation Gaming on Stress Among Nursing Students Practicing Simulated Adult Basic Life Support: Randomized Waitlist Controlled TrialNino Fijačko, Benjamin S. Abella, Špela Metličar, Leon Kopitar, Robert Tino Greif, Gregor Štiglic, Pavel Skok, Matej Strnad · 2025 · JMIR Serious Games
- SAFE-IML: Sparsity-Aware Feature Extraction for Interpretable Machine Learning with Two-Stage Neural Network ModellingHua‐Liang Wei · 2025 · International Conference on Machine Learning Technologies (ICMLT)
- A Tutorial on Best Practices and Pitfalls in Applying Machine Learning to Environmental ResearchZidong Yan, Jiaqi Li, Weican Zhang, Haonan Wen, Hao Yu, Miao Yu, Qian S. Liu, Guibin Jiang · 2026 · ACS Environmental Au
- Erklärbare KI in der medizinischen Diagnose – Erfolge und HerausforderungenAdriano Lucieri, Muhammad Naseer Bajwa, Andreas R. Dengel, Sheraz Ahmed · 2022 · Springer eBooks
- Implementation of Reinforcement Learning and Imaging for Better Decision-making in the Medical SectorRamesh Singh Rawat, Deepak Singh Rana · 2023 · IEEE International Conference for Convergence in Technology (I2CT)
- Unravelling the Enigma of Machine Learning Model Interpretability in Enhancing Disease PredictionRati Kailash Prasad Tripathi, Shrikant Tiwari · 2023 · Advances in systems analysis, software engineering, and high performance computing book series
- Interpretable and robust hospital readmission predictions from Electronic Health RecordsHugo Calero-Díaz, Rebeen Ali Hamad, Christian Atallah, John Casement, Dexter Canoy, Nick J. Reynolds, Michael R. Barnes, Paolo Missier · 2023 · IEEE International Conference on Big Data (BigData)
- An Interpretable Human-in-the-Loop Process to Improve Medical Image ClassificationJoana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu · 2024 · Lecture notes in computer science
- Enhancing trustworthiness and reliability: advance explainable artificial intelligence framework for real world Sclerosis detectionTanzila Saba, Muhammad Mujahid, Amjad Rehman, Faten Sae Alamri, Noor Ayesha · 2024 · Physica Scripta
- Predicting and Reducing Patient Waiting Times in Dental Clinics Using Machine Learning: A Case Study from TürkiyeAbdülkadir Keskin · 2024 · Black Sea Journal of Engineering and Science
- Identifying Probable Neurological Disorders with Explainable Machine Learning TechniquesNeha Khatriya, Tianjie Chen, Md Faisal Kabir, Timothy W. Brearly · 2024 · IEEE International Conference on Big Data (BigData)
- Comparison of Machine Learning Algorithms Identifying Children at Increased Risk of Out‐of‐Home Placement: Development and Practical ConsiderationsTyler J. Gorham, Rose Y. Hardy, David Ciccone, Deena J. Chisolm · 2025 · Health Services Research
- The shallowest transparent and interpretable deep neural network for image recognitionGurmail Singh, Stéfano Frizzo Stefenon, Kin‐Choong Yow · 2025 · Scientific Reports
- Vehicle Motion Sickness Profiling Through Interpretable Gradient Boosting: A Framework for Advanced Driver Assistance SystemsJon Ander Ruiz Colmenares, Estibaliz Asua · 2025 · IEEE Access
- Chronic Kidney Disease Detection Augmented with Hybrid Explainable AIMohamed Desoky, Nada Gamal ElAdl, Tamer Abuhmed · 2025
- Объяснительный искусственный интеллект в моделях поддержки принятия решений для Здравоохранения 5.0Alexey Nikolaevich Averkin, Sergey Yarushev · 2023 · Computer Tools in Education
- Explainable Deep Learning-Based Epiretinal Membrane Classification - An Empirical Comparison of Seven Interpretation MethodsEsther Parra-Mora, Luís A. da Silva Cruz · 2022 · IEEE Ecuador Technical Chapters Meeting (ETCM)
- Real-Time Health Monitoring System Using Predictive AnalyticsSubasish Mohapatra, Amlan Sahoo, Subhadarshini Mohanty · 2022 · Smart innovation, systems and technologies
- APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural NetworksHao Xu, Shengqi Sang, Herbert Yao, Alexandra I. Herghelegiu, Haiping Lu, James T. Yurkovich, Laurence Yang · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
- Development of Biologically Interpretable Multimodal Deep Learning Model for Cancer Prognosis PredictionZarif Azher, Louis Joseph Vaickus, Lucas A. Salas · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
- REM: An Integrative Rule Extraction Methodology for Explainable Data Analysis in HealthcareZohreh Shams, Botty Dimanov, Sumaiyah Kola, Nikola Simidjievski, Helena Andrés-Terré, Paul C. Scherer, Urška Matjašec, Jean Abraham, Mateja Jamnik, Píetro Lió · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
- Using explainable artificial intelligence to identify linguistic biomarkers of amyloid pathology in primary progressive aphasiaCole Robertson, Neguine Rezaii, Daisy Hochberg, Megan Quimby, Phillip Wolff, Bradford Clark Dickerson · 2024 · medRxiv
- Providing Care: Intrinsic Human–Machine Teams and DataStephen Russell, Ashwin Kumar · 2022 · Entropy
- Development of an Explainable Heart Failure Patients Survival Status Prediction Model Using Machine Learning AlgorithmsBetimihirt Getnet Tsehay Demis, Abdulkerim Mohammed Yibre · 2024 · Communications in computer and information science
- A survey on the integration of machine learning algorithms with wireless sensor networks for predicting diabetic foot complicationsAhmed Akeel Ali, Sadik Kamel Gharghan, Adnan Hussein Ali · 2024 · AIP conference proceedings
- Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise SelectionJeroen Ooge, Arno Vanneste, Maxwell Szymanski, Katrien Verbert · 2025 · International Conference on Learning Analytics and Knowledge (LAK)
- Unveiling the Potential of Explainable Artificial Intelligence in Predictive Modeling, Exploring Food Security and Nutrition in MadagascarRosa Elysabeth Ralinirina, Jean Christian Ralaivao, Niaiko Michaël Ralaivao, Alain Josué Ratovondrahona, Thomas Mahatody · 2025 · Communications in computer and information science
- Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer ClassificationYumnah Hasan, Allan de Lima, Darian Reyes Fernández de Bulnes, Douglas Mota Dias, Conor Ryan · 2025 · Lecture notes in computer science
- Leveraging Ensemble Machine Learning Approaches to Predict Measles Vaccination Status Among Children Under Five: Insights from the 2019 Zimbabwe MICSElliot Mbunge · 2025 · Lecture notes in networks and systems
- Neural network analysis of the contribution of psychotropic prescription sequences to the risk of non-psychiatric adverse events in bipolar and schizophrenia spectrum disordersNathan Vidal, Mohammed Sedki, Nadia Younès, Hugo Bottemanne, Paul Roux, Éric Brunet-Gouet · 2025 · Frontiers in Digital Health
- Preoperatively predicting failure to achieve the minimum clinically important difference and substantial clinical benefit for total knee arthroplasty patients using machine learningJaeyoung Park, Emilie N. Miley, Xiang Zhong, Chancellor F. Gray · 2025 · Knee Surgery and Related Research
- Age-related changes in countermovement jump performance and kinematics in young basketball athletes: a cross-sectional studyAndrea Bonini, Miloš Ajčević, Valentina Tommasini · 2025 · Human Movement
- A probabilistic model for node classification in directed graphsDiego Huerta, Gerardo Arizmendi · 2025 · Journal of Complex Networks
- Interpretable vs. Post-Hoc Explained Models for Digital Twin Applications in Clinical Forecasting: A Multiple Sclerosis Case StudySalvatore Giugliano, Ilaria Basile, Giovanna Sannino · 2025 · Procedia Computer Science
- Interpretability-Aware Vision TransformerYao Qiang, Chengyin Li, Hui Zhu, Prashant Khanduri, Dongxiao Zhu · 2025 · International Joint Conference on Neural Networks (IJCNN)
- Multimodal machine learning to predict response to ultrasound-guided botulinum and vibration therapy in muscle spasticity a clinical and imaging correlation studyHu Chen, Jingyuan Lin, Huini Lu · 2026 · Frontiers in Bioengineering and Biotechnology
- Employee Turnover Prediction Research of Human Resource Management on Machine Learning Algorithms and Big Data AnalysisRongjie Qin, Xiaolin Qi, Ying Yuan, Bilal Alataş · 2026 · Journal of Organizational and End User Computing
- Interpretable machine learning for personalized breast cancer screening recommendationsSean Berry, Berk Görgülü, Sait Tunç, Mücahit Çevik · 2026 · Health Care Management Science
- Spam Email Detection Using Artificial Intelligence and Machine Learning TechniquesAzza Mohamed, Suha Khalil Assayed · 2025 · IEEE Smart World Congress (SWC)
- Social determinants of healthy aging: An investigation using the all of us cohortWei‐Han Chen, Yao-An Lee, Huilin Tang, Chenyu Li, Ying Lu, Yu Huang, Rui Yin, Melissa J. Armstrong, Yang Yang, Gregor Štiglic et al. · 2026 · PLoS ONE
- Multimodal Depression Detection Using Audio, Video and Text Fusion with PCA-Based Feature SelectionTaufeeq Ahmed, Ramesh Chandra Sahoo · 2025 · International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
- An Interpretable Fuzzy Distance-Based Ensemble Framework with SHAP Analysis for Clinically Transparent Prediction of DiabetesAsif Hassan Syed, Altyeb Altaher Taha, Ahmed Hamza Osman, Yakubu Suleiman Baguda, Hani Moaiteq Aljahdali, Arda Yunianta · 2026 · Diagnostics