Predicting competitive alpine skiing performance by multivariable statistics—the need for individual profiling by Robert Nilsson, Apostolos Theos, Ann-Sofie Lindberg, Christer Malm

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Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study by Shaowei Guan, Vivian Hui, Gregor Stiglic, Rose Eva Constantino, Young Ji Lee, Arkers Kwan Ching Wong

“…ObjectiveThe objective was to develop a fine-tuned large language model (LLM) that can provide fast and accurate predictions of the information needs of survivors of DV from their online posts, enabling health care professionals to offer timely and personalized assistance. …”
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Can Pre-operative MRI Predict the Need for Salter’s Osteotomy in DDH Children Undergoing Open Reduction? by Vatsyan KC, Rangasamy K, Sudesh P, Shinha A, Salaria AK

“…Conclusion: Three-dimensional dynamic assessment using intra-operative stability test predicts the best possible inter-relation between the articular surface of the femoral head and acetabulum and the need for osteotomy rather than pre-operative MRI.…”
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Prediction of the need for surgery in patients with unruptured abdominal aortic aneurysm based on SOFA score. by Chao Weng, Cong Yu, Guang-Wei Yang, Jin-Song Jiang, Hao Wu

“…Logistic regression was conducted to explore the association between SOFA and primary outcome (need for surgery, NFS). Receiver operating characteristic (ROC) and nomogram analyses were used to assess its performance for predicting NFS. …”
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An answer to COVID-19: The need to use the maximum capacity of hospitals by Samereh Yaghoubian, Mohammad Ali Jahani, Majid Bahrami, Mohammad Khorshidi, Ghahraman Mahmoudi

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Long Short Term Memory Using Stochastic Gradient Descent and Adam for Stock Prediction by Muhammad Athanabil Andi Fawazdhia, Zani Anjani Rafsanjani HSM

“…The stock market is a place to carry out stock buying and selling transactions, the expected return of course has a profitable difference. Predicting stock prices can be done in various ways, one of which is by using deep learning models. …”
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Predictive Scoring Methods for Postoperative Level of Care Needs in the Geriatric Hip Fracture Patient Population by Sarah Kurkowski MD, Jacob Meyer BS, Quinn Retzloff BS, Jonathan Harley BS, H. Claude Sagi MD, Richard Laughlin MD

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Power Grid Scale Prediction and Optimization Needs Based on Policy Requirements of Modern Infrastructure System by Xin TIAN, Linyu WANG, Xingpei JI, Xinyang HAN

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Predicting peer acceptance among students with and without special educational needs in secondary educational settings by Ivonne Douma, Ivonne Douma, Matthijs Warrens, Anke de Boer, Anke de Boer, Alexander Minnaert

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Prediction models used in the progression of chronic kidney disease: A scoping review. by David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson

“…This made it difficult to perform a comparison between ML algorithms, more so when different validation methods were used in different cohort types. There needs to be increased investment in a more consistent and reproducible approach for future studies looking to develop risk prediction models for CKD progression.…”
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Analysis of soil suitability for agricultural needs using machine learning methods by Kurashkin Sergei, Kravtsov Kirill, Kukartsev Anatoly, Boyko Andrey, Volneikina Ekaterina

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Using artificial intelligence tools to predict and alleviate poverty by Ghada Alturif, Wafaa Saleh, Alaa A. El-Bary, Radwa Ahmed Osman

“…The model was trained and validated using historical data to ensure predictions for the following years were based on real dynamics. …”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

“…Given the high incidence and mortality rates of colorectal cancer and the low screening rate of colonoscopies in the initial screening positive population for colorectal cancer, further interventions will be needed. The objective of this study was to use machine learning and 0.2 million consultation data to predict colorectal cancer and identify important predictors. …”
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The Prediction of Peer Bullying in Adolescents by Individual and Environmental Variables by Abdulkadir Özer, Namık Kemal Haspolat

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Persistent cough after segmental resection, an issue that clinicians need to pay more attention to by He Guan, Zhijun Han, Qifei Wan, Qiangwen Huang, Li Wei, Jiwei Li

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Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods by Peng Zhang, Bifan Zhu, Xing Chen, Linan Wang

“…There is an urgent need to establish a specific, valid, and reliable prediction model using machine-learning-based methods to identify potential HNHC pediatric patients and implement proactive interventions before high costs arise. …”
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The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm by Zahra Nejatifar, Ahad Alizadeh, Mohammad Amerzadeh, Shideh Omidian, Sima Rafiei

“…Predicting palliative care needs accurately is critical in these contexts, as it can lead to better resource allocation, improved healthcare delivery, and enhanced patient outcomes.…”
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Multimodal prediction of the need of clozapine in treatment resistant schizophrenia; a pilot study in first-episode psychosis by Jonatan M. Panula, Athanasios Gotsopoulos, Jussi Alho, Jaana Suvisaari, Maija Lindgren, Tuula Kieseppä, Tuukka T. Raij

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Towards tailored online learning: Predicting learner profiles in an online learning environment with perceived needs satisfaction by Fei Gao, Rong Liu

“…The study utilized latent profile analysis to identify groups of learner profiles and explored the role of students’ perceived needs satisfaction in predicting group composition using multinomial logistic regression. …”
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Symptoms and coronary risk factors predictive of adverse cardiac events in chest pain patients in an Asian emergency department: the need for a local prediction score by Ziwei Lin, Swee Han Lim, Qai Ven Yap, Cheryl Shumin Kow, Yiong Huak Chan, Siang Jin Terrance Chua, Anantharaman Venkataraman

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