An Investigation of Suicidal Ideation from Social Media Using Machine Learning Approach by Soumyabrata Saha, Suparna Dasgupta, Adnan Anam, Rahul Saha, Sudarshan Nath, Surajit Dutta

Subjects: “…Behavior, Ideation, Machine Learning, Prediction, Social Media, Suicide…”
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Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical fe... by Dingxin Wang, Jianhao Qiu, Rongyang Li, Hui Tian

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Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes by Ying Yin, Yijun Shao, Phillip Ma, Qing Zeng-Treitler, Stuart J. Nelson

Subjects: “…machine learning prediction…”
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A machine learning-driven modeling and optimization approach for enhancing cassava mash production quality in cassava graters by Nana Yaa Serwaah Sarpong, Joseph Oppong Akowuah, Joseph Ofei Darko, Eric Asante Amoah

Subjects: “…Machine learning prediction…”
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Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar, Laura Gaita

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Construction of geriatric hypoalbuminemia predicting model for hypoalbuminemia patients with and without pneumonia and explainability analysis by Ziqi Liu, Ziqi Liu, Qi Kang, Zhilong Mi, Zhilong Mi, Yuan Yuan, Tiantian Sang, Binghui Guo, Binghui Guo, Binghui Guo, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Wei Tian

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Association between the postoperative glycemic variability and mortality after craniotomy: a retrospective cohort study and development of a mortality prediction model by Yuanshuo Ge, Guangdong Wang, Yun Huang, Yaxin Zhang

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Machine Learning for Identifying Damage and Predicting Properties in 3D-Printed PLA/Lygeum Spartum Biocomposites by Khalil Benabderazag, Moussa Guebailia, Zouheyr Belouadah, Lotfi Toubal, Salah Eddine Tachi

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All-Cause Mortality Risk in Elderly Patients with Femoral Neck and Intertrochanteric Fractures: A Predictive Model Based on Machine Learning by Min A, Liu Y, Fu M, Hou Z, Wang Z

Subjects: “…Mortality、Intertrochanteric fractures、Femoral neck fractures、Boruta algorithm、Machine learning、Prediction model…”
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Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study by Mostafa A. Arafa, Karim H. Farhat, Sherin F. Aly, Farrukh K. Khan, Alaa Mokhtar, Abdulaziz M. Althunayan, Waleed Al-Taweel, Sultan S. Al-Khateeb, Sami Azhari, Danny M. Rabah

Subjects: “…Machine learning prediction models…”
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Spatiotemporal trends in hernia disease burden and health workforce correlations in aging populations: a global analysis with projections to 2050 by Fangyi Dai, Yuzhou Cai, Huayou Luo, Ruo Shu, Tong Zhang, Yong Dai

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An Observation and Analysis the role of Convolutional Neural Network towards Lung Cancer Prediction by Suranjana Mitra, Annwesha Banerjee Majumder, Tanusree Saha

Subjects: “…Convolutional Neural Network (CNN), CT scan images, Lung Cancer, Machine Learning, Prediction System…”
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A machine learning-based method for predicting the shear behaviors of rock joints by Liu He, Yu Tan, Timothy Copeland, Jiannan Chen, Qiang Tang

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Energy-Efficient Prediction of Carbon Deposition in DRM Processes Through Optimized Neural Network Modeling by Rui Fang, Tuo Zhou, Zhuangzhuang Xu, Xiannan Hu, Man Zhang, Hairui Yang

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Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

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Temporal Parasitemia Trends Predict Risk and Timing of Experimental Cerebral Malaria in Mice Infected by <i>Plasmodium berghei</i> ANKA by Peyton J. Murin, Cláudio Tadeu Daniel-Ribeiro, Leonardo José Moura Carvalho, Yuri Chaves Martins

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Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites by Sunil Kumar Pradhan, Subhayu Kabiraj, Shivin Kumar Gupta, Abhishek Singh, Padmakar G. Chavan, Shubham S. Patil, Trilok Nath Pandey

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Hybrid FRP strengthening of reinforced concrete deep beams: Experimental, theoretical and machine learning-based study by Phromphat Thansirichaisree, Qudeer Hussain, Mingliang Zhou, Ali Ejaz, Shabbir Ali Talpur, Panumas Saingam

Subjects: “…Analytical model, machine learning predictions…”
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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

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Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

Subjects: “…Indian Shipbuilding, Jellyfish Optimization, Machine Learning, Predictive Maintenance as a Service, RNN-LSTM…”
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