Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectories by Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

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ADeepWeeD: An adaptive deep learning framework for weed species classification by Md Geaur Rahman, Md Anisur Rahman, Mohammad Zavid Parvez, Md Anwarul Kaium Patwary, Tofael Ahamed, David A. Fleming-Muñoz, Saad Aloteibi, Mohammad Ali Moni, PhD

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Point-of-Care Ultrasound Pulse Checks During Cardiopulmonary Resuscitation on a Patient Simulator (PUPRAS) by Susanne Betz, Harald Bergmann, Franz Rettich, Julian Kreutz, Birgit Ploeger, Christoph W. Jaenig, Stephan Grosch, Karl M. Meggiolaro, Andreas Jerrentrup, Willi Schmidbauer, Bernhard Schieffer, Tobias Gruebl

“…We investigated whether a POCUS pulse check algorithm could be used in compliance with the CPR guidelines. …”
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Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

“…The data then processed and classified using the k-Nearest Neighbor (k-NN) algorithm. The accuracy results obtained in this study reaches 79.56%. …”
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Minimum required distance for clinically significant measurement of habitual gait speed by Myung Woo Park, Sun Gun Chung, Jaewon Beom, Kyung Su Kim, Joonghee Kim, Chul-Hyun Park, Jinkyu Lee, Keewon Kim

“…Abstract Background Gait speed indicates morbidity and life expectancy in older adults, but the minimum walking distance for measurement remains unclear. …”
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THE PERCENTAGE AND STRUCTURE OF PERODONT TISSUE DISEASES IN PATIENTS OF LVIV REGIONAL STATIONARY CLINICAL HOSPITAL DEPENDING ON AGE by M. М. Shevchuk

“…To study the prevalence and structure of periodontal tissue lesions in patients with general - somatic diseases in order to develop a therapeutic algorithm in a hospital setting. Materials and methods. …”
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Enhancing the prediction of groundwater quality index in semi-arid regions using a novel ANN-based hybrid arctic puffin-hippopotamus optimization model by Moustafa Gamal Snousy, Hussein M. Elshafie, Ashraf R. Abouelmagd, Najmaldin Ezaldin Hassan, Mahmoud E. Abd-Elmaboud, Ali Akbar Mohammadi, Ashraf M.T. Elewa, E. EL-Sayed, Ahmed M. Saqr

“…Study focus: This study presents a novel hybrid arctic puffin–hippopotamus optimization (HPHO) algorithm combined with an artificial neural network (ANN) to improve irrigation water quality index (IWQI) predictions in semi-arid areas. …”
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Integration of Fourier and Wavelet Transform for Adsorption Mechanism of Cesium Study Based on X-Ray Diffraction and Absorption Spectroscopy by Chi-Wen Hsieh, Zih-Shiuan Chiou, Chuan-Pin Lee, Shih-Chin Tsai, Wei-Hsiang Tseng, Yu-Hung Wang, Hui-Min Chiu, Qi-Rui Sun, Chun-Liang Yeh

“…Based on the comparison with adsorption parameters of the standard CsNO3 sample, an iterative check algorithm is proposed then to yield the reasonable outcomes. …”
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Consensus evidence-based clinical practice guide for the diagnosis and management of osteoporosis in childhood and adolescence by Yasser El Miedany, Hala Lotfy, Maha El Gaafary, Naglaa Gadallah, Annie Nasr Mehanna, Safaa Mahran, Waleed Hassan, Mohammed Hassan Abu-Zaid, Samar Abdelhamed Tabra, Mohamed Mortada, Ahmed R. Radwan, Dalia El Mikkawy, S. Esam Maher, Ghada Eldrainy, Hala Abdulhady, Marwa Mahgoub, Youmna Amer, Walaa Elwakil

“…Delphi 2 round revealed that all the recommendations achieved 75% or more level of agreement and therefore have been accepted and included in this management recommendations. Based on that an algorithm showing an approach to pediatric osteoporosis management and maintenance of therapy has been developed. …”
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AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

“…This approach demonstrates the potential to enhance prioritized care plans and patient education, improving disease management and quality of life for asthmatic patients.…”
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A robust tuned EfficientNet-B2 using dynamic learning for predicting different grades of brain cancer by A. A. Abd El-Aziz, Mohammed Elmogy, Sameh Abd El-Ghany

“…This precise diagnosis is crucial for planning effective treatment options and enhancing the patient’s quality of life. Deep learning (DL) has the potential to greatly assist in the diagnosis and treatment of brain cancers. …”
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Development of a Smart Health Care Service Using Metaverse and Chatbot Technologies for Adolescents, Parents, and School Health Teachers: User-Centered Design Approach by Hana Kim, Jae-Heon Kang, Yeeun Kwon, Che Eun Kim, Jung han Yu, Hyo Seung Nam, Jisan Lee

“… BackgroundAdolescent health issues, particularly obesity, have become increasingly serious, highlighting the need for health management strategies tailored to the unique life cycle characteristics of adolescents. …”
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Blood pressure abnormality detection and interpretation utilizing explainable artificial intelligence by Hedayetul Islam, Md. Sadiq Iqbal, Muhammad Minoar Hossain

“…Early detection of hypertension can be crucial to lead a healthy life. Machine learning (ML) can be useful for the early prediction of a patient's likelihood of having a blood pressure abnormality and preventing it. …”
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Reinforcement learning energy management control strategy of electric tractor based on condition identification by Liqiao Li, Jiangchun Chen, Jing Nie, Zongyu Gao

“…However, low traction efficiency, short battery life, and high energy consumption are the main reasons hindering the industrialization of ET. …”
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Clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and the efficacy of treating lower urinary tract symptoms by V. L. Medvedev, M. E. Efremov, P. V. Shornikov, D. S. Isayeva

“…To determine the clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and develop an algorithm for improving the efficacy of treating lower urinary tract symptoms in benign prostatic hyperplasia.Materials & methods. …”
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Modeling the cooling effect of urban green infrastructures with an ecosystem services approach ( case study: Tehran metropolis) by S. Malekzadeh, H.R. Jafari, R. Nazari, T. Blaschke, A. Hof, M. Karimi

“…A supervised classification via the Super Vector Machine algorithm identified four land use categories: built-up areas, barren lands, green spaces, and water bodies. …”
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Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer by Wang S, Ma C, Ren Z, Zhang Y, Hao K, Liu C, Xu L, He S, Zhang J

“…The signatures were screened in a discovery cohort of GC patients (n=55) and non-disease controls (n=46) using an integrated process, including high-throughput sequencing technology, screening using a complete bioinformatics algorithm, validation using RT-qPCR, and evaluation by constructing a diagnostic model. …”
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Economic evaluation of a novel genetic screening test for risk of venous thromboembolism compared with standard of care in women considering combined hormonal contraception in Swit... by Zanfina Ademi, C Simone Sutherland, Matthias Schwenkglenks, Nadine Schur, Joëlle Michaud, Myriam Lingg, Arjun Bhadhuri, Thierry D. Pache, Johannes Bitzer, Pierre Suchon, Valerie Albert, Kurt E. Hersberger, Goranka Tanackovic

“…The risk of having a VTE was derived from the risk algorithm that underpins the PP test. The remaining model inputs relating to population characteristics, costs, health resource use, mortality and utilities were derived from published studies or national sources. …”
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Forecasting Insurance Company Commitments with Long Short-Term Memory Models by Negar Tehraniyazdi, Reza Vaezi, Saeed Setayeshi, Iman Raeesi Vanani

“…MethodsIn this study, a dynamic model based on machine learning algorithms is proposed. The model's output, which combines the number and timing of bodily injury accidents, plays a crucial role in calculating reserves for non-life insurance products. …”
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Chromatin accessibility reveals potential prognostic value of the peak set associated with smoking history in patients with lung adenocarcinoma by Han Liang, Jianlian Deng, Tian Luo, Huijuan Luo, Fuqiang Li, Kui Wu, Cong Lin

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