Predicting Postoperative Troponin in Patients Undergoing Elective Hip or Knee Arthroplasty: A Comparison of Five Cardiac Risk Prediction Tools by Merih T. Tesfazghi, Anne R. Bass, Noor Al-Hammadi, Scott C. Woller, Scott M. Stevens, Charles S. Eby, Mitchell G. Scott, Lindsey Snyder, Troy S. Wildes, Brian F. Gage

“…Elderly patients undergoing hip or knee arthroplasty are at a risk for myocardial injury after noncardiac surgery (MINS). We evaluated the ability of five common cardiac risk scores, alone or combined with baseline high-sensitivity cardiac troponin I (hs-cTnI), in predicting MINS and postoperative day 2 (POD2) hs-cTnI levels in patients undergoing elective total hip or knee arthroplasty. …”
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Machine Learning-Based Prediction Model for Predicting the Effect of the Serum γKlotho Level on Susceptibility to Coronary Heart Disease by Guo ZT, Yu XL, Cheng H, Naman T

“…Zi-Tong Guo,1 Xiao-Lin Yu,2 Hui Cheng,2 Tuersunjiang Naman2 1Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 2Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People’s Republic of ChinaCorrespondence: Tuersunjiang Naman, Email tursunjan1016@163.comObjective: This study investigates the relationship between serum γKlotho levels and coronary heart disease (CHD) risk and develops a machine learning model for CHD prediction.Methods: A total of 1435 subjects were enrolled for analysis and randomized as training (n =  969, 70%) or validation (n =  466, 30%) group. …”
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Research on wheelchair form design based on Kansei engineering and GWO-BP neural network by Weilin Cai, Zhengyu Wang, Yi Wang, Meiyu Zhou

“…This study proposes a wheelchair form design method based on the Kansei engineering approach, which integrates the evaluation grid method (EGM), grey wolf optimization (GWO) algorithm, and back propagation neural network (BPNN) technology. …”
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Predicting Mortality in Severe Burns: A Comparison of Four Mortality Prediction Scores and the Role of Organizational Changes in the Croatian Burn Center by Agata Skunca, Ana Mesic, Dorotea Zagorac, Mirela Dobric, Vedran Lokosek, Morana Banic, Aleksandra Munjiza, Aisa Muratovic

“…A secondary aim was to compare patient outcomes before and after the organizational and protocol changes. Methods: A retrospective study and comparison of four prediction scores was conducted over a nine-year period in burn patients with ≥20% total body surface area (TBSA) burned. …”
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The Improved-EFI Score: A Multi-Omics-Based Novel Efficacy Predictive Tool for Predicting the Natural Fertility of Endometriosis Patients by He Q, Zhang C, Hu Y, Deng J, Zhang S

“…This study aims to establish a prediction model to accurately predict the natural pregnancy outcome of patients with EM, providing valuable information for clinical decision-making.Methods: We retrospectively selected a total of 496 patients who underwent their first laparoscopic surgery for infertility at the Obstetrics and Gynecology Department of Jingzhou Central Hospital from January 2016 to June 2023. …”
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Machine learning vehicle fuel efficiency prediction by So-rin Yoo, Jae-woo Shin, Seoung-Ho Choi

“…The proposed method comprises a predictive model and analysis framework utilizing key vehicle attributes, such as fuel type, engine displacement, and vehicle grade, to enhance prediction accuracy. …”
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CPLLM: Clinical prediction with large language models. by Ofir Ben Shoham, Nadav Rappoport

“…We compared our results to various baselines, including Retain and Med-BERT, the latter of which is the current state-of-the-art model for disease prediction using temporal structured EHR data. In addition, we also evaluated CPLLM's utility in predicting hospital readmission and compared our method's performance with benchmark baselines. …”
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AI-Based Prediction of Warpage in Organic Substrates by Jingyi Zhao, Meiying Su, Rui Ma

“…This study proposes an artificial intelligence (AI)-based method to predict the warpage behavior of organic substrates with diverse material and structural configurations. …”
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On the Issue of Predicting Global Financial and Economic Crises by Yu. A. Danilov, D. A. Pivovarov, I. S. Davydov

“…The purpose of the article is to describe the most popular “new” crisis predictors and evaluate their predictive properties. The primary research method was monitoring the confirmation of signals supplied by predictors, indicators of macroeconomic dynamics based on retrospective data. …”
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The Application of Machine Learning Models to Predict Stillbirths by Oguzhan Gunenc, Sukran Dogru, Fikriye Karanfil Yaman, Huriye Ezveci, Ulfet Sena Metin, Ali Acar

“…<i>Background and Objectives</i>: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. …”
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A Decreasing Horizon Model Predictive Control for Landing Reusable Launch Vehicles by Guillermo Zaragoza Prous, Enric Grustan-Gutierrez, Leonard Felicetti

“…A novel approach to model predictive control (MPC) with a decreasing horizon is analysed for guiding and controlling reusable launch vehicles (RLVs) during powered descent phases. …”
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Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis by Lingjiang Liu, Zhiyuan Li, Yaxin Hu, Chunyou Li, Shuhan He, Shibei Zhang, Jie Gao, Huaiyi Zhu, Guoping Huang

“…MethodsThis review assessed ML for predicting adolescent suicide–related behaviors. …”
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Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes by José Antonio García-Mejido, Miguel Sanchez-Sevilla, Rocio García-Jimenez, Ana Fernández-Palacín, José Antonio-Sainz

“…These parameters were progressively added according to the simplicity of their evaluation and their predictive value to detect metastasis in non-sentinel lymph-nodes. …”
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Predictive Value of Fine Needle Aspiration Biopsy and Ultrasonography in The Diagnosis of Cervical Lymphadenopathy by Abdulkadir Şahin, Merve Zeynep Koday, Bülent Aktan, Muhammed Sedat Sakat, Korhan Kılıç

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Empowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics by Mohamed Hashem Kotp, Hossam Ali Ismail, Hassan Ahmed Awad Basyouny, Mohamed Ahmed Aly, Abdelaziz Hendy, Abdulqadir J. Nashwan, Ahmed Hendy, Aliaa Ezz Eldin Abd Elmoaty

“…Aim This study aims to assess the readiness of nursing leaders for AI integration and evaluate their perceptions of the benefits of AI-driven predictive analytics in healthcare. …”
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The predictive role of lung clearance index on FEV1 decline in cystic fibrosis by Beste Özsezen, Ebru Yalçın, Nagehan Emiralioğlu, Hande Konşuk Ünlü, Dilber Ademhan Tural, Canan Caka, Birce Sunman, Deniz Doğru, Ugur Özçelik, Nural Kiper

“…This study aimed to define the predictive role of baseline LCI, along with other potential factors on the change in forced expiratory volume in one second (FEV1) during one-year follow-up in CF patients who had a percent predicted (pp) FEV1≥80. …”
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Fear of negative evaluation biases social evaluation inference: evidence from a probabilistic learning task. by Katherine S Button, Daphne Kounali, Lexine Stapinski, Ronald M Rapee, Glyn Lewis, Marcus R Munafò

“…We developed an instrumental learning task to model social evaluation learning, predicting that FNE would specifically bias learning about the self but not others.…”
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Predictive factors in the retrieval of endodontic instruments: the relationship between the fragment length and location by Ricardo Portigliatti, Eugenia Pilar Consoli Lizzi, Pablo Alejandro Rodríguez

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Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review by Shrikant M. Harle, Rajan L. Wankhade

“…Techniques such as aRVM, Random Forest (RF), PSO-ANN, Support Vector Machines (SVM), and numerical methods are discussed for their effectiveness in predicting settlement, building responses, and safety risks. …”
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The state of the hemomicrocirculation system and predictive capacity of parameters characterizing it in patients with hypertensive nephropathy by I. M. Fushtey, О. О. Tokarenko

“…Today the diagnostics of microcirculatory disorders in patients with hypertensive nephropathy (HN) is an extremely important issue. Aim. To evaluate the functional state of hemomicrocirculatory (HMC) system and to analyze predictive capacity of parameters characterizing it in patients with essential hypertension (EH) of II stage accompanied with manifestations of nephropathy. …”
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