Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks by Mobin Shaterian, Mohammad Teshnehlab

“…The main purpose of this research is finding major characteristics of clinical signs in the diagnosis of neuropathic disease in patients with chronic long-term pain. …”
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SCHOOL MODEL PATIENT IN PALLIATIVE CARE GERIATRICS: A NEW LOOK AT THE PROBLEM by I. P. Рonomareva, K. I. Рrashchayeu, A. N. Ilnitsky

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Optimization of the Multi-element Synthetic Transmit Aperture Method for Medical Ultrasound Imaging Applications by Yuriy TASINKEVYCH, Ihor TROTS, Andrzej NOWICKI, Marcin LEWANDOWSKI

“…Results of the analysis obtained by a developed optimization algorithm are presented. The maximum penetration depth and lateral resolution at given depths are chosen as optimization criteria. …”
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Peculiarities of differential diagnosis of malignant and benign ovarian tumors in girls (case report of immature teratoma of the ovary) by Elena V. Sibirskaya, Irina V. Karachentsova, Ivan N. Skapenkov, Andrey A. Naumenko, Ivan I. Petinov, Polina O. Nikiforova

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THE SEVERE COURSE OF DRUG THERAPY-RESISTANT ANKYLOSING SPONDYLITIS by D. G. Rumyantseva, M. V. Podryadnova, O. A. Rumyantseva, M. M. Urumova, Sh. Erdes

“…At present, there is more and more evidence in rheumatology on the factors influencing the efficacy of biological agents (BAs), and there is no generally accepted algorithm for managing patients resistant to standard therapy. …”
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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…They are often regarded as noise points due to their deviation from normal data points and are considered points of research value, occupying a small proportion of the dataset. …”
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Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury by Moa Pontén, Oskar Flygare, Martin Bellander, Moa Karemyr, Jannike Nilbrink, Clara Hellner, Olivia Ojala, Johan Bjureberg

“…As both prediction approaches achieved modest accuracy, the current results indicate the need for further research to enhance the predictive power of machine-learning algorithms. …”
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Automatic determination of the frequency behaviour of the larynx tone by the method of linear prediction by Andrzej DZIURNIKOWSKI

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Evaluation method antidepressant efficacy of phototherapy patients suffering from mental illness, to dental reception

“…This article presents an overview of research the author expediency enhanced light exposure during dental treatment of patients suffering from mental illness and is a stage of practical recommendations for improving the algorithm dental care of these patients.…”
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Strategies of minimization of Sammon's mapping error by Gintautas Dzemyda, Jolita Bernatavičienė, Olga Kurasova, Virginijus Marcinkevičius

“… The classic algorithm for Sammon's projection and two new its modifications are examined in details. …”
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Population pharmacokinetics analysis in Lixoft Monolix softwares by A. I. Platova

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FEATURES OF APPLICATION OF FILTERS KALMAN-BJUSI IN ORIENTATION AND NAVIGATION COMPLEXES by A. S. Benkafo, A. A. Lobaty

“…Research of these errors by modelling of a concrete example is carried out.…”
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Survey on multipath TCP congestion control by Pei LIU, Yong-mao REN, Jun LI

“…First，several congestion control algorithms of multipath TCP recently had been introduced and discussed.Next,some simulation experiments in NS2 was did,the performance of MPTCP congestion control algorithm in TCP fairness of the bottleneck link,resource pooling and flapness was analyzed.At last,some problems existed and possible research directions in the future was pointed out.…”
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A method for connected word recognition by S. GROCHOLEWSKI

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The Role of the TIMP1/LINC01615 Axis as a Regulator of the EMT Pathway in Gastric Cancer by Jiying Liu, Yeganeh Olyaee, Khatere Mokhtari, Chaoxiang Lv, Niloufar Salimian, Maliheh Entezari, Afshin Taheriazam, Mehrdad Hashemi, Mazaher Maghsoudloo, Ling Yuan

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Cell-free plasma miRNAs analysis for low invasive lung cancer diagnostics by M. Yu. Konoshenko, P. P. Laktionov, Yu. A. Lancuhaj, S. V. Pak, S. E. Krasilnikov, O. E. Bryzgunova

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Prediksi Stok dan Pengaturan Tata Letak Barang Menggunakan Kombinasi Algoritma Triple Exponential Smoothing dan FP-Growth by Kristoko Dwi Hartomo, Sri Yulianto Prasetyo, Rahmat Abadi Suharjo

“…Data processing in this research is called data mining using FP-Growth and Triple Exponential Smoothing algorithms. …”
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Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank. by Riyaz S Patel, Spiros Denaxas, Laurence J Howe, Rosalind M Eggo, Anoop D Shah, Naomi E Allen, John Danesh, Aroon Hingorani, Cathie Sudlow, Harry Hemingway

“…<h4>Importance</h4>A lack of internationally agreed standards for combining available data sources at scale risks inconsistent disease phenotyping limiting research reproducibility.<h4>Objective</h4>To develop and then evaluate if a rules-based algorithm can identify coronary artery disease (CAD) sub-phenotypes using electronic health records (EHR) and questionnaire data from UK Biobank (UKB).…”
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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations by Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu

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Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems by Wulfran Fendzi Mbasso, Ambe Harrison, Pradeep Jangir, Idriss Dagal, Hossam Kotb, Njimboh Henry Alombah, Raman Kumar, Aseel Smerat, Emmanuel Fendzi Donfack, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…Abstract This research presents an advanced optimization framework motivated from biological sources using the Sperm Swarm Optimization (SSO) algorithm to specifically deal with the Many-Objective Optimal Power Flow (MaO-OPF) problem in power systems. …”
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