Increased observation of predictable visual stimuli in children with potential autism spectrum disorder by Mikimasa Omori

“…New evidence suggests that children with ASD may develop predictive processing abilities for repeated behaviors, providing insight into how they recognize and respond to predictable patterns. …”
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Predictive nomogram integrating radiomics and multi‐omics for improved prognosis‐model in cholangiocarcinoma by Yunlu Jia, Mingyu Wan, Yifei Shen, Junli Wang, Xiao Luo, Mengye He, Ruiliang Bai, Wenbo Xiao, Xiaochen Zhang, Jian Ruan

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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

“…This study assesses the predictive performance of a comprehensive range of advanced machine learning (ML) and deep learning (DL) algorithms for Ep prediction using readily available environmental sensing data. …”
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BCL-2 inhibitors in hematological malignancies: biomarkers that predict response and management strategies by Mariam Markouli, Maria N. Pagoni, Panagiotis Diamantopoulos

“…Finally, we focus on the biomarkers that can be used to predict responses to treatment in the name of personalized medicine, with the goal of exploring alternative strategies to overcome resistance.…”
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Dynamic changes in peripheral blood lymphocyte trajectory predict the clinical outcomes of sepsis by Dongkai Li, Jiahui Zhang, Wei Cheng, Guoyu Zhao, Xianli Lei, Yawen Xie, Na Cui, Hao Wang

“…This study aimed to apply latent class mixed modeling on longitudinal lymphocyte counts to uncover heterogeneous trajectory phenotypes in sepsis patients and assess their predictive value for clinical outcomes.ResultsFour lymphocyte trajectory phenotypes were identified in the retrospective cohort (n=2,149) and externally validated (n=2,388): high–declining (α, 3.8%), stable–medium (β, 69.3%), high–increasing (γ, 3.2%), and stable–low (δ, 23.8%). …”
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The weight-adjusted-waist index predicts all-cause and cardiovascular mortality in hypertension by Yu Zheng, Zixing Nie, Yifan Zhang, Tao Sun

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The performance of a machine learning model in predicting accelerometer-derived walking speed by Aleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, Atle Kongsvold, Mats Flaaten, Tom Ivar Lund Nilsen, Paul Jarle Mork

“…The aim of this study was to develop and evaluate the performance of a machine learning classifier in predicting slow (≤4 km/h), moderate (4.1–5.4 km/h), and brisk (≥5.5 km/h) walking speeds in adults based on dual and single accelerometer set-ups. …”
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Creation and validation of a new index to predict pneumonia associated with ischemic stroke by Alexis Suárez Quesada, Alexis Álvarez Aliaga, Andrés José Quesada Vázquez

“…<br /><strong>Objective</strong>: to create and validate a new predictive index of pneumonia associated with ischemic stroke.…”
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Polarity dependent predictable and random resistive switching in forming-free unipolar memristors by Venkata Rao Rayapati, Sahitya Varma Vegesna, Vinayak Jayram Bhat, Daniel Blaschke, Marco Diegel, Andrea Dellith, Jan Dellith, Danilo Bürger, Ilona Skorupa, Heidemarie Schmidt

“…Based on the energy band diagram of the HoMnO3 structure under applied negative and positive write bias, polarity dependent, predictable, and random resistive switching is explained. …”
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A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD by Yang Yujun, Yang Yimei, Xiao Jianhua

“…More and more analysis and prediction methods are proposed by researchers. We proposed a hybrid method for the prediction of future stock prices using LSTM and ensemble EMD in this paper. …”
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An Improved Integral Method for Prediction of Distorted Inlet Flow Propagation in Axial Compressor by Ng Eddie Yin-Kwee, Liu Ningyu, Lim Hong Ngiap, Tan Daniel

“…<p>An improved integral method is proposed and developed for the quantitative prediction of distorted inlet flow propagation through axial compressor. …”
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The Signal‐to‐Noise Paradox in ENSO Prediction: Role of ENSO Growth Rate and Period by Yishuai Jin

“…Abstract This paper investigates the relationship between heterogeneous predictability and homogeneous predictability for El Niño‐Southern Oscillation (ENSO) prediction. …”
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Prediction of Quality Food Sale in Mart Using the AI-Based TOR Method by Daniyal Irfan, Xuan Tang, Vipul Narayan, Pawan Kumar Mall, Swapnita Srivastava, V. Saravanan

“…This paper uses artificial intelligence, business intelligence, and neural networks to forecast the food sale prediction by evaluating the data of each individual client. …”
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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

Subjects: “…Machine Learning, Renewable Energy, Solar Irradiance, Weather Prediction.…”
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Galectin-3: A Novel Marker for the Prediction of Stroke Incidence and Clinical Prognosis by Ahmed Sayed, Malak Munir, Mohamed S. Attia, Badrah S. Alghamdi, Ghulam Md Ashraf, Eshak I. Bahbah, Mohamed Elfil

“…Therefore, there is a continuous search for novel reliable biomarkers that can enhance the recognition of stroke events in a timely manner and predict the clinical outcomes following a stroke event. …”
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Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties by Anna Maria Kaczmarek, Małgorzata Muzolf-Panek, Jolanta Tomaszewska-Gras, Piotr Konieczny

“…The aim of this study was to develop models based on Linear Discriminant Analysis (LDA), Classification and Regression Trees (C&RT), and Artificial Neural Network (ANN) for the prediction of the botanical origin of honeys using their physicochemical parameters as well as their antioxidative and thermal properties. …”
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Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection by Ella Goldschmidt, Ella Rannon, Daniel Bernstein, Asaf Wasserman, Michael Roimi, Anat Shrot, Dan Coster, Ron Shamir

“…Our study demonstrates the potential of machine learning models to predict inappropriate empiric antibiotic treatment.…”
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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

Subjects: “…Breast cancer prediction…”
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Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning by A. A. Ibrahim, O. A. Ayilara-Adewale, A. A. Alabi, D. A. Olusesi

Subjects: “…Prediction system; used car; extra tree regression; random forest regression; machine learning…”
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Comparison of Fecal Calprotectin Methods for Predicting Relapse of Pediatric Inflammatory Bowel Disease by Saranya Kittanakom, Md. Sharif Shajib, Kristine Garvie, Joceline Turner, Dan Brooks, Sufian Odeh, Robert Issenman, V. Tony Chetty, Joseph Macri, Waliul I. Khan

“…We evaluated the analytical performance of three FCal assays and their clinical performance in predicting relapse in pediatric IBD. Methods. This study used 40 pediatric IBD and 40 random non-IBD patients’ fecal samples. …”
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