Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning by Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka

“…After meteorological changes from the control case to four urban modification scenarios were predicted using the WRF–CMBEM, potential reductions in heat-related deaths were estimated using previously successful ML-trained models. …”
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Bladder Horn Appearance on Ultrasonographic Examination Prior to Cesarean Section: Does it Predict High Cranial Attachment of the Bladder? by İnci Kahyaoğlu, Fulya Kayıkçıoğlu, Serhan Kahyaoğlu, Sezin Ertürk Akasakal, Leyla Mollamahmutoğlu

“… OBJECTIVE: To investigate the value of bladder horn appearance seen on ultrasonography performed prior to cesarean section in prediction of high cranial attachment of bladder. STUDY DESIGN: The study was carried out in delivery unit of a teaching hospital. …”
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Polysomnographic features of children with obesity: body mass index predict severe obstructive sleep apnea in obese children? by Rungrat Sukharom, Prakarn Tovichien, Kanokporn Udomittipong, Pinyapach Tiamduangtawan, Wattanachai Chotinaiwattarakul

“…These findings suggest a cutoff BMI for predicting severe OSA of greater than 29.2 kg/m2 with 81.3% sensitivity and 48.5% specificity. …”
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Explaining the Unexplained: Examining the Predictive Value of Semen Parameters, Sperm DNA Fragmentation and Metal Levels in Unexplained Infertility by Navdeep Kaur Ghuman, Kamla Kant Shukla, Srividhya Nandagopal, Sunil Raikar, Shailendra Kumar, Priyanka Kathuria, Dinesh Choudhary, Poonam Elhence, Pratibha Singh

“…Background: There is ongoing research to find an optimum modality to predict male fertility potential. Aims: To compare the semen parameters, sperm DNA damage and seminal metal levels of Zinc, Lead and Aluminium among the male partners of couples with unexplained infertility and men with proven fertility. …”
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Individualized prediction of multi-domain intelligence quotient in bipolar disorder patients using resting-state functional connectivity by Xiaoyu Li, Wei Wei, Linze Qian, Xiaojing Li, Mingli Li, Ioannis Kakkos, Qiang Wang, Hua Yu, Wanjun Guo, Xiaohong Ma, George K. Matsopoulos, Liansheng Zhao, Wei Deng, Yu Sun, Tao Li

“…The present study aimed to infer BD patients’ IQ scores at the individual level using a prediction model. Methods: We applied a cross-validated Connectome-based Predictive Modeling (CPM) framework using resting-state fMRI functional connectivity (FCs) to predict BD patients’ IQ scores, including verbal IQ (VIQ), performance IQ (PIQ), and full-scale IQ (FSIQ). …”
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Enhancing the Predictive Value of SII and NLR in LAA Stroke: Addressing Unexplored Limitations and Future Directions [Response to Letter] by He Z, Liu K

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Hourly Ozone and PM2.5 Prediction Using Meteorological Data – Alternatives for Cities with Limited Pollutant Information by Felipe Cifuentes, Angel Gálvez, Carlos M. González, Mauricio Orozco-Alzate, Beatriz H. Aristizábal

“…This can serve to predict O3 for cities with real time meteorological data but no pollutant sensing capability. …”
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First-Trimester Threatened Abortion: Can Red Blood Cell Distribution Width-Standard Deviation Predict Miscarriage? by Sebnem Karagun, Yusuf Dal, Hamza Yildiz, Sefanur Gamze Karaca, Ahmet Zeki Nessar, Ayhan Coskun

“… OBJECTIVE: The objective of the study was to investigate the predictive value of red blood cell distribution width-standard deviation (RDW-SD) and another complete blood count (CBC) derived blood markers in patients presenting with threatened abortion concerning miscarriage. …”
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Breast cancer risk assessment based on a predictive model: evaluation of risk factors among Japanese women by Michiyo Yamada, Takashi Chishima, Takashi Ishikawa, Kazutaka Narui, Sadatoshi Sugae, Peter J. Tonellato, Itaru Endo

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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…The integration of solar geometry, geographic location, and atmospheric characteristics is required for the prediction of Direct Normal Irradiance. Predicting Direct Normal Irradiance is essential for maximizing the efficiency of solar power plants in the field of renewable energy. …”
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Optimizing Risk-based Stock Return Prediction in Tehran Stock Exchange industries: A Data Envelopment Analysis by Hamidreza Akhbari, Heydar Mohammadzadeh Salteh, Rasoul Baradaran Hassanzadeh, Mehdi Zeynali

“…ConclusionTherefore, it can be said that optimizing stock return prediction in the oil and gas extraction industry, excluding exploration, is at a higher level compared to other industries examined in this study. …”
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A Novel Hybrid Radial Basis Function Method for Predicting the Fresh and Hardened Properties of Self-Compacting Concrete by Zhangabay Nurlan

“…It is observed from the published literature that there were so few studies concentrating on predicting both fresh and hardened properties of self-compacting concrete (SCC). …”
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Analysis of factors associated with intercostal neuralgia after osteoporotic thoracic spine fracture and construction of a prediction model by Zhen-Gang Liu, Fan Yang, Peng-fu Li, Qi Song, Gao Wang, Bo-Yin Zhang

“…Abstract Objective This study aims to investigate the associated factors of intercostal neuralgia in patients with osteoporotic vertebral compression fractures (OVCF) of the thoracic spine and to develop a predictive model to assess the likelihood of patients developing intercostal neuralgia following thoracic vertebral fractures. …”
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Diagnostic accuracy of calculated serum osmolarity to predict dehydration in older people: adding value to pathology laboratory reports by Lee Shepstone, John F Potter, Lee Hooper, Asmaa Abdelhamid, Amy Jennings, Paul R Hunter, W Garry John, Neil P Walsh, Adam Ali, Diane K Bunn, Susan Kerry, Gregor Lindner, Carmen A Pfortmueller, Fredrik Sjöstrand, Susan J Fairweather-Tait

“…Of 39 osmolarity equations, 5 showed reasonable agreement with directly measured osmolality and 3 had good predictive accuracy in subgroups with diabetes and poor renal function. …”
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Prediction of postoperative myocardial injury in patients undergoing laparoscopic pheochromocytoma/paraganglioma resection: protocol for an ambispective cohort study by Yuguang Huang, Yuelun Zhang, Ling Lan, Yi Zhang, Ye Ma, Le Shen, Yifei Zhao, Yaohan Li

“…Multivariate logistic regression will be used to develop the prediction model, which will be presented as a nomogram. …”
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FAN score predicts prognosis after platinum-based first-line chemotherapy in patients with metastatic urothelial carcinoma by Yu Ishizuya, Atsunari Kawashima, Yuki Horibe, Akinaru Yamamoto, Masaru Tani, Akihiro Yoshimura, Liu Yutong, Sassi Nesrine, Toshiki Oka, Yohei Okuda, Toshihiro Uemura, Gaku Yamamichi, Takuji Hayashi, Yoshiyuki Yamamoto, Taigo Kato, Koji Hatano, Norio Nonomura

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Applying social cognitive theory to predict physical activity and dietary behavior among patients with type-2 diabetes by Ann Tresa Sebastian, Eslavath Rajkumar, P Tejaswini, R Lakshmi, J Romate

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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data. by Chunjie She, Hefeng Liu

“…The objective of this study was to develop and validate a nomogram for the prediction of osteoporosis risk in patients with CKD.…”
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A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network by Ming Jiang, Zhiwei Liu, Yan Xu

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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by RAHMAT, Munirul ula, Zara Yunizar

“…This study evaluates the effectiveness of Gated Recurrent Units (GRU) and Double Moving Average (DMA) in predicting USDT (Tether Coin) prices using historical data from 2017 to 2024, sourced from Investing.com. …”
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