Correlation and predictive value of oxygenation and oxygen saturation indices in extremely preterm infants: a prospective study by Ibrahim Alanazi, Saleh S. Algarni, Saleh S. Algarni, Saad Alshreedah, Naif Alotaibi, Mohammed Sufyani, Sami S. Alanazi, Abeer H. Alharthi, Abadi Ghazwani, Omar M. Almutairi, Maryam Alkaabi, Abdulaziz Homedi, Ibrahim Ali, Mohammed Khawaji, Saif Alsaif, Kamal Ali, Kamal Ali, Kamal Ali

“…In addition, the study seeks to determine the predictive value of these indices for mortality in the first 7 days and Bronchopulmonary Dysplasia (BPD) at 36 weeks postmenstrual age (PMA).MethodsThis is a prospective observational study conducted at King Abdulaziz Medical City, Riyadh between October 2023 and May 2024, involving extremely preterm infants with clinical and ventilator data collected during the first 7 days of life. …”
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Photoacoustic Spectrometric Evaluation of Soil Heavy Metal Contaminants by Lixian Liu, Huiting Huan, Ming Zhang, Xiaopeng Shao, Binxing Zhao, Xinxin Cui, Lei Zhu

“…Four advanced spectral preprocessing methods were explored to improve the robustness of the prediction model. …”
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RESEARCH AND EVALUATION OF FUNCTIONAL PARAMETERS OF LOW VOLTAGE DEVICES by E. Gracheva, A. Safin, R. Sadykov

“…The set of the obtained quantitative indicators allows to determine the actual level of reliability of contacting, and also extends the possibility of predicting performance ratings in the design.  In the present article, a method for the complex evaluation of the efficiency of low-voltage apparatus has been developed and the laws of the change in the resistance of contact connections and the probability of failure-free operation of low-voltage switching devices have been revealed, depending on the operating conditions.…”
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Echo Graphic Evaluation of Retinoblastoma and its Management Modalities by Kushal S Delhiwala, Hansa H Thakkar

“…Aim: To establish efficacy of echography in diagnosis of Retinoblastoma and study the outcome of different management options. Material and Methods: Retrospective evaluation of data of 100 Retinoblastoma patients for demographic data, clinical presentations, B scan (10MHz) ultrasonography (USG) findings, treatment outcome and follow up examination was carried out. …”
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Exploring the predictive value of serum lipids for short‐term prognosis in patients with acute‐on‐chronic liver failure by Yunfeng Fu, Kaini Wu, Sicheng Yang, Yuanping Fan, Jianhao Qiu, Qi Zhu, Yating Pan, Xiaqin Chen, Sihai Chen, Xiaodong Zhou

“…This study aimed to investigate the predictive value of serum lipids for short‐term prognosis in patients with ACLF. …”
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A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis by Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang

“…This study aimed to build a machine learning model on washed microbiota transplantation (WMT) for ulcerative colitis (UC), providing patients and clinicians with a new evaluation system to optimize clinical decision-making.MethodsPatients with UC who underwent WMT via mid-gut or colonic delivery route at an affiliated hospital of Nanjing Medical University from April 2013 to June 2022 were recruited. …”
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Evaluation Uncertainty in the Volume of Oil in Place in Mishrif Reservoir by Loay Khamees, Farah Abdulrazzaq

“…Uncertainty methods can be used based on several reservoir factors to predict a range of reserve values, each value gives a range of production forecasts. …”
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Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data by Hong-Jie Dai, Chien-Chang Chen, Tatheer Hussain Mir, Ting-Yu Wang, Chen-Kai Wang, Ya-Chen Chang, Shu-Jung Yu, Yi-Wen Shen, Cheng-Jiun Huang, Chia-Hsuan Tsai, Ching-Yun Wang, Hsiao-Jou Chen, Pei-Shan Weng, You-Xiang Lin, Sheng-Wei Chen, Ming-Ju Tsai, Shian-Fei Juang, Su-Ying Wu, Wen-Tsung Tsai, Ming-Yii Huang, Chih-Jen Huang, Chih-Jen Yang, Ping-Zun Liu, Chiao-Wen Huang, Chi-Yen Huang, William Yu Chung Wang, Inn-Wen Chong, Yi-Hsin Yang

“…The embedded system offers a comprehensive view of patient reports annotated with significant registry concepts to facilitate the manual coding process and elevate overall quality. Extensive evaluations, including comparisons with state-of-the-art methods, were conducted using a lung cancer dataset comprising 1428 patients from the medical center. …”
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Leveraging digital twins for improved orthopaedic evaluation and treatment by Michael C. Dean, Jacob F. Oeding, Pedro Diniz, Romain Seil, Kristian Samuelsson, ESSKA Artificial Intelligence Working Group

“…Abstract Purpose The purpose of this article is to explore the potential of digital twin technologies in orthopaedics and to evaluate how their integration with artificial intelligence (AI) and deep learning (DL) can improve orthopaedic evaluation and treatment. …”
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Predictive Value of Individual Gastric Secretion Indices and Their Constellations for Predicting the Response of Gastric Mucosal Parietal Cells to Pentagastrin Stimulation and Famo... by M. Pliatsko, O. Faiura, N. Grechkivska, O. Voloshyna, Y. Leshchuk, A. Maksymuk

“…The prognostic value of gastric secretion parameters and their constellations allows tailoring blocker dosage: higher doses for patients predicted to have a weak response and lower doses for those predicted to have a strong response to stimulation.…”
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Prediction of adolescent subjective well-being: A machine learning approach by Lin He, Fei Xu, Yifeng Xu, Naixin Zhang, Chuanxin Liu, Zhixuan Chen, Lin An, Decheng Ren, Fan Yuan, Ruixue Yuan, Lei Ji, Yan Bi, Zhenming Guo, Gaini Ma, Fengping Yang, Liping Zhu, Gabirel Robert, Bo Bai, Tao Yu, Guang He

“…Background Subjective well-being (SWB), also known as happiness, plays an important role in evaluating both mental and physical health. Adolescents deserve specific attention because they are under a great variety of stresses and are at risk for mental disorders during adulthood.Aim The present paper aims to predict undergraduate students’ SWB by machine learning method.Methods Gradient Boosting Classifier which was an innovative yet validated machine learning approach was used to analyse data from 10 518 Chinese adolescents. …”
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Evaluation of an endovascular aneurysm model in pigs for chronic experiments by Lara Bender, Thorsten Sichtermann, Jan Minkenberg, Christoph Dorn, Rebecca May, Charlotte S. Weyland, Dimah Hasan, Andrea Stockero, Hani Ridwan, Martin Wiesmann, Omid Nikoubashman, Christiane Franz

“…The aim of our study was to evaluate an endovascular aneurysm model in chronical experiments using 12 female Aachen minipigs. …”
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The Possibility or Impossibility of Stock Price Prediction: Evidence from the Petrochemical Industry by Masoud Alizadeh Chamazkoti, Mehdi Fathabadi, Mahmod Mahmodzadeh, Saleh Ghavidel Doostkouei

“…ConclusionAccording to the findings of the two stages, Nouri, Pars, Tapico, and Shapna companies have weak efficiency which means that the stock price behavior of these companies cannot be predicted. On the other hand, Parsan, Shapedis, Shatran, Fars and Shabandar companies show weak efficiency which means that their stock price behavior is predictable. …”
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Identification and Evaluation of the Urinary Microbiota Associated With Bladder Cancer by Nannan Li, Lei Wang, Qin Yang, Fuqiang Li, Zhun Shi, Xiujie Feng, Liwei Zhang, Xiaojian Li, Xin Jin, Shida Zhu, Kui Wu, Ningchen Li

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Evaluation of COVID-19 Patients According to the Survival Time by Adem Atici, Ramazan Asoglu, Hasan Ali Barman, Mustafa Adem Tatlisu, Gönul Aciksari, Yusuf Yilmaz, Fatma Betul Ozcan, Mustafa Caliskan

“…COVID-19 is a highly contagious virus, and some patients may experience acute respiratory distress syndrome (ARDS) and acute respiratory failure leading to death. We aim to evaluate the clinical, imaging, and laboratory parameters according to survival time to predict mortality in fatal COVID-19 patients. …”
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Breast cancer survival prediction using an automated mitosis detection pipeline by Nikolas Stathonikos, Marc Aubreville, Sjoerd deVries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J vanDiest

“…Considering the potential of AI to improve reproducibility of MC between pathologists, we undertook the next validation step by evaluating the prognostic value of a fully automatic method to detect and count mitoses on whole slide images using a deep learning model. …”
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Apparent diffusion coefficient in the evaluation of cerebral gliomas malignancy by Ignjatović Jelena, Stojanov Dragan, Živković Vladimir, Ljubisavljević Srđan, Stojanović Nebojša, Stefanović Ivan, Benedeto-Stojanov Daniela, Ignjatović Nebojša, Petrović Slađana, Aracki-Trenkić Aleksandra, Radovanović Zoran, Lazović Lazar

“…Magnetic resonance imaging (MRI) is a key modality not only for lesion diagnosis, but also to evaluate the extension, type and grade of the tumor. …”
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Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction by Gabriel Caramori, Igor Oliani, Angelo S. Lunardi, Alfeu J. Sguarezi Filho

“…Experimental evaluations with the induction motor under steady-state and dynamic conditions demonstrate the proposed method’s superior robustness compared to traditional predictive current control in electrical traction applications. …”
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Systemic inflammatory response index improves prognostic predictive value in intensive care unit patients with sepsis by Tuo Xu, Shuaiwei Song, Ke Zhu, Yin Yang, Chengyu Wu, Naixue Wang, Shu Lu

“…The purpose of this study was to investigate the connection between sepsis and SIRI and evaluate its predictive usefulness. A total of 401 patients with sepsis were included in this study. …”
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Improved Modulated Model Predictive Control: Reducing Total Harmonic Distortion, Computational Burden, and Parameter Sensitivity by Seyed Rasul Eftekhari, Ali Mosallanejad, Hamidreza Pairo, Jose Rodriguez

“…This paper presents an improved modulated model predictive control (M2PC) method, which is implemented on synchronous reluctance motor (SynRM) drives, significantly enhancing performance by streamlining the control algorithm. …”
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