Modern principles of conservative treatment of mild and moderate forms of ulcerative colitis by O. V. Golovenko

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A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis by Muhammad Zaman, Muhammad Khubaib, Tanzila Kahkashan, Anam Zahoor, Narges Shahbaz, Shahzad Shoukat, Fahma Nisar

“…Different types of Machine Learning and deep learning algorithms are used for heart stroke predictions. In this paper we purposed Novel Multi Layer-Perceptron (MLP) that are efficient in classification and in heart stoke prediction that model achieve high accuracy of 99%.…”
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Challenges in the development of treatment guidelines for bipolar disorder by Konstantinos N. Fountoulakis, Nikolaos K. Fountoulakis, Diomidis Antoniadis

“…Unfortunately, in the literature, BD is treated as a fragmented condition and each fragment is studied separately as if it were independent. …”
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Clinical characteristics of bronchopulmonary dysplasia and the risk of sepsis onset prediction via machine learning models by Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yi Wang, Yi Wang, Yi Wang, Linhong Song, Jun Li, Jun Li, Jun Li, Yuanyuan Xie, Yuanyuan Xie, Yuanyuan Xie, Lei Yan, Lei Yan, Lei Yan, Siqi Hu, Siqi Hu, Siqi Hu, Zhichun Feng, Zhichun Feng, Zhichun Feng, Zhichun Feng

“…We subsequently utilized ten machine learning (ML) algorithms and used clinical features to acquire models to predict BPD with sepsis. …”
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Nomogram for predicting the severity of high-risk plaques in acute coronary syndrome by Miao-Na Bai, Miao-Na Bai, Miao-Na Bai, Ji-Xiang Wang, Ji-Xiang Wang, Xiao-Wei Li, Xiao-Wei Li, Xiao-Wei Li, Jing-Xian Wang, Jing-Xian Wang, Yu-Hang Wang, Yu-Hang Wang, Yin Liu, Yin Liu, Yin Liu, Jing Gao, Jing Gao, Jing Gao, Jing Gao

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Identification of ALDH2 as a novel target for the treatment of acute kidney injury in kidney transplantation based on WGCNA and machine learning algorithms and exploration of its p... by Jinpu Peng, Shili Wang, Xingyu Pan, Moudong Wu, Xiong Zhan, Dan Wang, Guohua Zhu, Wei Wang, Hongyu Tang, Nini An, Jun Pei

“…Second, machine learning algorithms were utilized to identify the key genes among them, and the HPA database was used to explore the expression landscape. …”
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Study Design and Rationale for the PHINDER Study: Pulmonary Hypertension Screening in Patients with Interstitial Lung Disease for Earlier Detection by Tejaswini Kulkarni, David A. Zisman, Oksana A. Shlobin, David G. Kiely, Maral DerSarkissian, Eric Shen, Kevin M. Maher, Meredith Broderick, Mary Beth Scholand

“…Planned Outcomes Following study completion, statistical tools will be used to derive a practical model for a screening algorithm using the variables identified in the study as most predictive of PH in patients with ILD. …”
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Physical Constraint Preserving Higher-order Finite Volume Schemes for Divergence-free Astrophysical MHD and RMHD by Dinshaw S. Balsara, Deepak Bhoriya, Chetan Singh, Harish Kumar, Roger Käppeli, Federico Gatti

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Effectiveness of introducing pulse oximetry and clinical decision support algorithms for the management of sick children in primary care in India and Tanzania on hospitalisation an... by Fenella Beynon, Grace Mhalu, Divas Kumar, Silvia Cicconi, Hélène Langet, Gillian A. Levine, Girdhar Agarwal, Charles Festo, Tracy R. Glass, Anmol Jacob, Gaurav Kumar, Samwel Lwambura, Lena Matata, Abdallah Mkopi, Robert Moshiro, Fabian Schaer, Vineela Bandi, Leah F. Bohle, Mira Emmanuel-Fabula, Megan Horlacher, Susan Horton, John Maiba, Suzan Makawia, Naomi Masanja, Deusdedit Mjungu, Ibrahim E. Mtebene, Olgah Odek, Vânia Oliveira, Elena Pantjushenko, Elisabeth Reus, Michael Ruffo, Kovid Sharma, Helen Storey, Mansi Tyagi, Valérie D'Acremont, Honorati Masanja, Shally Awasthi, Kaspar Wyss, Agarwal Girdhar, Arimi Peter, Awasthi Shally, Ba Maymouna, Bandi Vineela, Beynon Fenella, Leah F. Bohle, Bulo Method, Cicconi Silvia, Cissé Magib, Clemence Zach, Cleveley Lisa, Cummings Ray, D'Acremont Valérie, Emmanuel-Fabula Mira, Faivre Vincent, Faye Mouhamadou Mansour, Faye Papa Moctar, Festo Charles, Tracy R. Glass, Gupta Kanishka, Harner-Jay Claudia, Horlacher (Shawcross) Megan, Horton Susan, Jacob Anmol, Keitel Kristina, Keith Bonnie, Kosgei Rose, Kumar Divas, Kumar Gaurav, Lalwani Tanya, Langet Hélène, Levine Gillian, Lwambura Samwel, Machoki James, Maiba John, Makawia Suzan, Mansi Tyagi, Martin Gregory, Masanja Honorati, Masanja Irene, Masanja Naomi, Matata Lena, Mhalu Grace, Miheso Andolo, Mjungu Deusdedit, Mkopi Abdallah, Moshiro Robert, Mtebene Ibrahim, Mugo Mercy, Ndiaye Ousmane, Ngari Kevin, Ngutu Mariah, Njiri Francis, Norris Martin, Odek Olgah, Oliveira Vânia, Onah Michael, Orschulko Anja, Oviedo Dickens, Pantjushenko Elena, Quintanar Solares Manjari, Rajaratnam Julie, Rastogi Tuhina, Reus Elisabeth, Ruffo Mike, Schär Fabian, Schaufelberger Sylvain, Sharma Kovid, Shauri Janet, Smith Lisa, Sougou Ndèye Marème, Storey Helen, Tan Rainer, Thabard Julian, Thiongane Aliou, Tine Jean Augustin Diégane, Vonlanthen Alan, Wyss Kaspar

“…Summary: Background: Pulse oximetry can support better detection of hypoxaemia, an important mortality predictor, and digital clinical decision support algorithms (CDSAs) can strengthen adherence to Integrated Management of Childhood Illness (IMCI) guidelines. …”
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Virtual Cluster Partitioning Method of Active Distribution Networks Using Quantum Particle Swarm Optimization and Sector Search by Wei Liu, Yifan Tong, Xinran Xing, Xi Chen, Bo Hu, Qian Sun, Yufei Wang, Huaxin Li, Huidong Guo

“…By treating the vectors obtained from sector searches as particles, the proposed QPSO algorithm significantly improves both the search efficiency and global convergence in solving the virtual cluster partitioning model. …”
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Differential Diagnostic Indicators for the Appointment of Non-Steroidal Anti-Inflammatory Therapy in the Treatment of Red Eye Syndrome at the Stage of Primary Outpatient Admission.... by V. N. Trubilin, E. G. Polunina, A. A. Kozhukhov, V. V. Kurenkov, N. V. Moreva, A. V. Trubilin, K. V. Chinenova

“…A survey ophthalmologist expert conducted during the study, performed in accordance with the Delphi method, aimed at developing a differential algorithm in the treatment of patients with one of the most common pathologies among diseases belonging to the category of “red eye syndrome” — conjunctivitis, allowed identify key symptoms for prescribing different groups of drugs. …”
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From the Internet of Things to the Objectification of the Human Being: Sociopolitical Construction of Technology and a Critique of Society 5.0 by Cahit Bağcı

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Modeling and Optimization of Tensile Properties of Epoxy Biocomposites Reinforced with Washingtonia robusta Waste and Biochar Using Response Surface Methodology, Artificial Neural... by Messaouda Boumaaza, Ahmed Belaadi, Hassan Alshahrani, Ibrahim M. H. Alshaikh, Djamel Ghernaout

“…The current study examined the tensile properties of epoxy biocomposites reinforced with untreated and NaOH-treated Washingtonia robusta waste (WRW) and biochar considering different fiber weight fractions (10%, 20%, 30%), NaOH concentrations (2%, 2.5%, 3%), and treatment durations (4, 12, 24 h). …”
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A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

“…Our research in Mahanadi River Basin, Odisha, presents an enhanced methodology based on data, specifically designed to be beneficial for Water Quality (WQ) based on Synthetic Pollution Index (SPI) and machine learning models such as Long Short-Term Memory (LSTM) and Sparrow Search Algorithm (SSA), for its analysis and interpretation of extensive, intricate data sets on water quality, as well as the allocation of pollution sources or contributing elements, in order to improve knowledge of the water quality and the planning of monitoring networks for efficient water resource management. …”
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Automation and Decision Support in Nephrology: An Expert System Based on AI and ML for the Assessment, Treatment, and Management of Focal Segmental Glomerulosclerosis by Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel

“…By leveraging ML algorithms and clinical data, the system offers personalized, data-driven recommendations, enhancing decision-making and patient care. …”
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…The availability, agility, computational power, high uptime, and streaming data pipelines allow for large retrospective analyses as well as the opportunity to implement real-time prediction of critical events with machine learning algorithms. Critical events can be accessed by applying keyword search in the natural language data, annotated by the treating team. …”
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Evidence and reality: an observational study on pharmacological outcomes in advanced head and neck tumors by Consuelo Jordán de Luna, Consuelo Jordán de Luna, Anna Esteve, Olalla Montero Pérez, Ana Clopés Estela, Ana Clopés Estela, Marc Oliva, Alicia Lozano Borbalas, Ricard Mesía Nin

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Super-Resolution Reconstruction From Multiple Defocused Infrared Images of Stationary Scene by Yuxing Mao, Benjiang Zhao, Dongmei Yan, Haiwei Jia

“…Super-resolution reconstruction (SRR) is an effective means to address this problem. Existing SRR algorithms use well-focused images and ignore the value of defocused images generated by the infrared imaging system during focusing. …”
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Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During... by Meng Lu, Ernestine Hui, Marius Brockhoff, Jakob Träuble, Ana Fernandez‐Villegas, Oliver J Burton, Jacob Lamb, Edward Ward, Philippa J Woodhams, Wadood Tadbier, Nino F Läubli, Stephan Hofmann, Clemens F Kaminski, Antonio Lombardo, Gabriele S Kaminski Schierle

“…Furthermore, alongside G‐MEAs, an easy‐to‐implement machine learning algorithm is developed to efficiently process the large datasets collected from MEA recordings. …”
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Efficient sepsis detection using deep learning and residual convolutional networks by Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri

“…In this article, we present a new deep learning model to detect the occurrence of sepsis and the African vulture optimization algorithm (AVOA) to enhance the model performance. …”
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