Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

Subjects: Get full text

On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

Subjects: Get full text

Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

Subjects: Get full text

Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample by Mahdieh Arian, Talat Khadivzadeh, Mahla Shafeei, Sedigheh Abdollahpour

Subjects: Get full text

Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence by Xiaoyin Wu, Xiaoyin Wu, Buyu Guo, Buyu Guo, Xingyu Chang, Xingyu Chang, Yuxuan Yang, Yuxuan Yang, Qianqian Liu, Qianqian Liu, Jiahui Liu, Jiahui Liu, Yichen Yang, Yichen Yang, Kang Zhang, Yumei Ma, Songbo Fu, Songbo Fu, Songbo Fu

Subjects: Get full text

The COVID-19 Pandemic Heightens Interest in Cytokine Storm Disease and Advances in Machine Learning Diagnosis, Telemedicine, and Primordial Prevention of Rheumatic Diseases by Tomohiro Koga, Shin-Ya Kawashiri, Fumiaki Nonaka, Yoshika Tsuji, Mami Tamai, Atsushi Kawakami

Get full text

Crisis Text Line and Loris.ai Controversy Highlights the Complexity of Informed Consent on the Internet and Data-Sharing Ethics for Machine Learning and Research by Gunther Eysenbach

Get full text

Discrete Train Speed Profile Optimization for Urban Rail Transit: A Data-Driven Model and Integrated Algorithms Based on Machine Learning by Kang Huang, Jianjun Wu, Xin Yang, Ziyou Gao, Feng Liu, Yuting Zhu

“…To fill this gap, according to the actual speed and energy data collected from the real-world urban rail system, this paper proposes a data-driven model and integrated heuristic algorithm based on machine learning to determine the optimal speed profile with minimum energy consumption. …”
Get full text

Deciphering the Immune Subtypes and Signature Genes: A Novel Approach Towards Diagnosing and Prognosticating Severe Asthma Through Interpretable Machine Learning by Yue Hu, Yating Lin, Bo Peng, Chunyan Xiang, Wei Tang

“…We employ single-sample gene set enrichment analysis (ssGSEA) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms to identify differentially expressed immune cells and utilize machine learning techniques, including Extreme Gradient Boosting (XGBoost) and random forest, to predict severe asthma outcomes and identify key genes associated with immune cells. …”
Get full text

An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept studyResearch in context by Marirena Bafaloukou, Ann-Kathrin Schalkamp, Nan Fletcher-Lloyd, Alex Capstick, Chloe Walsh, Cynthia Sandor, Samaneh Kouchaki, Ramin Nilforooshan, Payam Barnaghi

Subjects: Get full text

Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

“…This study suggested a machine learning method for predicting the CS of UHPC including support vector regression (SVR). …”
Get full text

Influence of Intraoral Scanners, Operators, and Data Processing on Dimensional Accuracy of Dental Casts for Unsupervised Clinical Machine Learning: An In Vitro Comparative Study by Taseef Hasan Farook, Saif Ahmed, Jamal Giri, Farah Rashid, Toby Hughes, James Dudley

“…It also evaluated the validation accuracy of an unsupervised machine-learning model trained with these scans. Methods. …”
Get full text

Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

Subjects: Get full text

MLOps Components, Tools, Process, and Metrics: A Systematic Literature Review by Adrian P. Wozniak, Mateusz Milczarek, Joanna Wozniak

Subjects: Get full text

Multi-Class Sentiment Analysis on Twitter: Classification Performance and Challenges by Mondher Bouazizi, Tomoaki Ohtsuki

Subjects: Get full text

Use of Arduino for Monitoring the Air Quality of Indoor Environments by Felipe Macedo Freitas Siqueira, Lizandro de Sousa Santos

Subjects: Get full text

Authorship identification methods in student plagiarism detection by A. I. Paramonov, I. A. Trukhanovich

Subjects: “…machine learning…”
Get full text

Degrade or Super-Resolve to Recognize? Bridging the Domain Gap for Cross-Resolution Face Recognition by Klemen Grm, Berk Kemal Ozata, Alperen Kantarci, Vitomir Struc, Hazim Kemal Ekenel

Subjects: Get full text

Geogenic perspectives on potassium dynamics and plant uptake: insights from natural and submerged conditions across different soil types with machine learning predictions by Saibal Ghosh, Gourav Mondal, Shreya Chakraborty, Sonali Banerjee, Sumit Kumar, Riddhi Basu, Pradip Bhattacharyya

Subjects: Get full text

Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

Subjects: “…Machine learning…”
Get full text