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 review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models by J. C. Vogeler, W. B. Cohen

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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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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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A nomogram model for predicting risk factors and the outcome of skin ulcer by Honglin Jia, Yang Tan, Hong Li, Xiaoqing Bu, Lingfei Li, Xia Lei

“…Background Wound healing is a complex process, and numerous factors affect the healing of skin ulcers.Objectives In order to identify the factors associated with wound healing, it is necessary to establish a visualized predictive model for evaluating the risk factors of patients with skin ulcers and to validate its effectiveness.Methods A retrospective observational study was conducted on 453 patients with skin ulcers admitted to the Dermatology ward of the Army Medical Center (Daping Hospital) in Chongqing, China, from January 2011 to July 2022. …”
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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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Enhancing Strategic Partnerships in Higher Education: Developing and Implementing a Predictive Model by Georgios Eftychiou

“… The Predictive Strategic-Fit Model (PSFM) represents a transformative approach to forging successful industry-academia collaborations. …”
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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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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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Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

“…In this study, we aim to develop advanced machine learning regression models for the prediction of hydrate temperature based on the chemical composition of sweet gas mixtures. …”
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Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis by Muhammed Ali Çolak, Osman Ünsal Bayrak

“…Data collected from various user groups, including households and university students, provide a comprehensive understanding of local travel behavior. Four predictive modeling techniques, linear regression, Poisson regression, negative binomial regression, and artificial neural networks (ANNs), were applied to the dataset, followed by a comparative performance evaluation. …”
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Subjective Global Assessment and Handgrip Strength as Predictive Factors in Patients with Liver Cirrhosis by Maria Ciocîrlan, Andreea Ruxandra Cazan, Mihaela Barbu, Mircea Mănuc, Mircea Diculescu, Mihai Ciocîrlan

“…Malnutrition is common in patients with chronic liver disease. We aimed to evaluate malnutrition assessment tools in predicting severity and survival of patients with liver cirrhosis. …”
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Predictive Value of Frailty on Outcomes of Patients With Cirrhosis: Systematic Review and Meta-Analysis by Wen-Zhen Tang, Sheng-Rui Zhu, Shu-Tian Mo, Yuan-Xi Xie, Zheng-Ke-Ke Tan, Yan-Juan Teng, Kui Jia

“…However, no quantitative meta-analysis has evaluated the prognostic value of frailty in patients with cirrhosis. …”
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The predictive and prognostic value of skeletal muscle mass in cancer patients with distant metastases by Cemil Oktay, Gökmen Aktaş, Baran Yusufoğlu, Mahmut Çoraplı, Tülay Kuş

“…After strict standardization, we aim to evaluate both the predictive and prognostic value of low muscle mass (LMM) in common cancer types for first-line chemotherapy.Methods: This retrospective single-center study was conducted in a regional hospital between 2015 and 2020. …”
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