Algorytm — tożsamość — dylemat społeczny. Zjawisko algorytmizacji w serwisach wideo na żądanie by Dominik Kania

“…As a conclusion, the author analyzes the idea of algorithmic identity, concerning problems of rabbit holes, decomposition of individuality and treating users in terms of data suppliers.…”
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Medical decision support systems for diagnosing diseases based on ensemble learning algorithms by Luma Jarallah

“…Diagnosing diseases in humans is the first step in treating diseases, and knowing it is important to determine treatment and deal with the disease in the correct way. …”
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Reliability and safety of a new upper cervical spine injury treatment algorithm by Andrei Fernandes Joaquim, Roger Schmidt Brock, Vinicius Monteiro de Paula Guirado, Luis Henrique Sandon, Otávio Turolo da Silva, Mário Augusto Taricco, Manoel Jacobsen Teixeira, Eberval Gadelha Figueiredo

“…Methods Thirty cases, previously treated according to the new algorithm, were presented to four spine surgeons who were questioned about their personal suggestion for treatment, and the treatment suggested according to the application of the algorithm. …”
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An Efficient Algorithm for Fuzzy Linear Fractional Programming Problems via Ranking Function by Rasha Jalal Mitlif

“…New ranking function is proposed and used to convert the data of the fuzzy fractional programming problem from fuzzy number to crisp number so that the shortcoming when treating the original fuzzy problem can be avoided. …”
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Active learning algorithm for alleviating the user cold start problem of recommender systems by Toon De Pessemier, Bruno Willems, Luc Martens

“…In this paper, we propose a new decision tree-based algorithm for selecting these items. Treating the recommender system as a black box, the ratings collected from interviewing new users are passed on to the recommender system with the intention of improving its performance. …”
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Enhancing the Harrow-Hassidim-Lloyd (HHL) algorithm in systems with large condition numbers by Peniel Bertrand Tsemo, Akshaya Jayashankar, K. Sugisaki, Nishanth Baskaran, Sayan Chakraborty, V. S. Prasannaa

“…Although the Harrow-Hassidim-Lloyd (HHL) algorithm offers an exponential speedup in system size for treating linear equations of the form Ax[over ⃗]=b[over ⃗] on quantum computers when compared to their traditional counterparts, it faces a challenge related to the condition number (κ) scaling of the A matrix. …”
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Refining management strategies for Lennox–Gastaut syndrome: Updated algorithms and practical approaches by Stéphane Auvin, Alexis Arzimanoglou, Mercè Falip, Pasquale Striano, J. Helen Cross

“…Patients with LGS that has evolved from another type of epilepsy who are not already being treated with valproate should be transitioned to valproate and then managed using the same algorithm as for newly diagnosed LGS. …”
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Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides by Heqian Zhang, Yihan Wang, Yanran Zhu, Pengtao Huang, Qiandi Gao, Xiaojie Li, Zhaoying Chen, Yu Liu, Jiakun Jiang, Yuan Gao, Jiaquan Huang, Zhiwei Qin

“…Methods: LBDA-D was identified as an output of this algorithm, in which the original LBDMj sequence was the input, and the three-dimensional solution structure of LBDB was determined using nuclear magnetic resonance. …”
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Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy by Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw

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Risk factors for pneumonitis in patients treated with anti‐programmed death‐1 therapy: A case‐control study by Pengfei Cui, Zhefeng Liu, Guoqiang Wang, Junxun Ma, Yuanyu Qian, Fan Zhang, Chun Han, Yaping Long, Ye Li, Xuan Zheng, Danyang Sun, Jing Zhang, Shangli Cai, Shunchang Jiao, Yi Hu

“…Two controls per case were matched according to a propensity‐score matching algorithm to account for confounding effects caused by individual baseline variables. …”
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Observational study of characteristics and clinical outcomes of Dutch patients with tuberous sclerosis complex and renal angiomyolipoma treated with everolimus. by Bernard A Zonnenberg, Maureen P Neary, Mei Sheng Duh, Raluca Ionescu-Ittu, Jonathan Fortier, Francis Vekeman

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Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records by L. Mazzeo, F. Corso, P. Baili, F. Scotti, V. Torri, M. Ganzinelli, V. Mišković, R. Leporati, L. Provenzano, A. Spagnoletti, C. Silvestri, C. Giani, C. Cavalli, R.M. di Mauro, M. Meazza Prina, C. Proto, M. Brambilla, M. Occhipinti, S. Manglaviti, T. Beninato, D. Miliziano, A.D. Dumitrascu, G. Di Liberti, T.S. Cassano, F.G.M. de Braud, Giuseppe Lo Russo, A. Cappozzo, A.M. Paganoni, F. Ieva, A. Prelaj

“…A text-mining algorithm was implemented to retrieve RWD from EHRs. …”
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An efficient quantum algorithm for ab initio approximations of non-linear response functions by Tyler Kharazi, Torin F. Stetina, Liwen Ko, Guang Hao Low, K. Birgitta Whaley

“…Abstract We develop and analyze a fault-tolerant quantum algorithm for non-linear response properties of molecular and condensed phase systems. …”
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Public perception of accuracy-fairness trade-offs in algorithmic decisions in the United States. by Mehdi Mourali, Dallas Novakowski, Ruth Pogacar, Neil Brigden

“…The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model's inputs. …”
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Detection of Weak Radar Return Signals Based on Pseudo-Time Domain Algorithm by Kaili Wang, Kai Yuan, Bo Bai, Rongxin Tang

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Predicting visual acuity of treated ocular trauma based on pattern visual evoked potentials by machine learning models by Hongxia Hao, Jiemin Chen, Yifei Yan, Yifei Yan, Qi Zhang, Qi Zhang, Zhilu Zhou, Wentao Xia

“…Various ophthalmic parameters were input into the above algorithms for model training, and the performance of the algorithms was analyzed from the difference between the prediction value and the ground truth. …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…The strengths and weaknesses of existing image semantic modelling algorithms are analysed. To reduce the workload of manually labelling data, this paper proposes the use of a streaming learning algorithm to automatically pass image-level semantic labels to pixel regions of an image, where the algorithm does not need to rely on external detectors and a priori knowledge of the dataset. …”
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Algorithm for the Management of Patients with Ischemic Heart Disease and Cardio-Renal-Metabolic Syndrome by Yevhen Yu. Marushko, Georgii B. Mankovskyi

“…To assess the prognostic impact of using a new algorithm for managing patients with CAD and CRMS over a 5-year follow-up period. …”
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An exercise prescription algorithm for clinicians to use with their patients with cardiovascular disease risk factors by Shiqi Chen, Yin Wu, Justin Kennedy, Gregory Panza, Margaux Zwierko Guidry, Linda S Pescatello

“…Exercise is the first-line lifestyle therapy to prevent and treat CVD. We developed the Prioritize Personalize Prescribe Exercise algorithm (P3-EX), an evidence-based tool that clinicians can use to prescribe exercise for patients with CVD risk factors. …”
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Heat Engineering Justification on Selection of Energy Efficient Refractory Lining of Reheating and Heat-Treating Furnaces at Machine Manufacturing Enterprises by V. I. Timoshpolsky, L. A. Trusova, A. P. Nesenchuk, D. V. Mendelev, M. L. German

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