Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study by Chuang Li, Youbei Lin, Xuyang Xiao, Xinru Guo, Jinrui Fei, Yanyan Lu, Junling Zhao, Lan Zhang

“…Abstract Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to misperception, internal fear or fear of pain, and avoid rehabilitation training affecting postoperative recovery. …”
Get full text

Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms by Chenhui Feng, Zhimiao Wei, Xiaohui Li, Xiaohui Li

“…Through differential expressed genes (DEG) analysis, high-dimensional Weighted Correlation Network Analysis (hdWGCNA) and machine learning algorithms, we identified signature genes associated with both BAM and FAM. …”
Get full text

An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study by Inge A. H. van den Berk, Colin Jacobs, Maadrika M. N. P. Kanglie, Onno M. Mets, Miranda Snoeren, Alexander D. Montauban van Swijndregt, Elisabeth M. Taal, Tjitske S. R. van Engelen, Jan M. Prins, Shandra Bipat, Patrick M. M. Bossuyt, Jaap Stoker, The OPTIMACT study group

“…Abstract Background To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED). …”
Get full text

Government-Expert Joint Intervention with Treatment Algorithm and Improved Hypertension Management and Reduced Stroke Mortality in a Primary-Care Setting by Mulalibieke Heizhati, Nanfang Li, Delian Zhang, Suofeiya Abulikemu, Guijuan Chang, Jing Hong, Nuerguli Maimaiti, Junli Hu, Lei Wang, Gulinuer Duiyimuhan

“…In conclusion, government-expert joint intervention with introducing treatment algorithm may improve hypertension control and decrease related hospitalization and stroke mortality in underresourced settings.…”
Get full text

Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips by David P. VanEenenaam, Jr., BS, Carter Hall, BS, Daniel A. Maranho, MD, PhD, Christopher J. DeFrancesco, MD, Eduardo N. Novais, MD, Wudbhav N. Sankar, MD

“…Machine learning (ML) algorithms can be leveraged to identify complex, nonlinear patterns in data and allow for more accurate predictions on which patients may need a prophylactic pin. …”
Get full text

Genetic Algorithm for Optimizing Urban District and Block Morphology to Minimize Solar Radiation Access and Maximize Building Floor Area in the UAE by Hanan M. Taleb, Mays Kayed, Fuad Baba

Get full text

Validation of a deep learning–based AI system for HER2-targeted breast cancer assessment using ultrasound imaging in a clinical setting by Kathryn Malherbe

Get full text

Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients by Sarah A. Teele, MD, MSHPEd, Avihu Z. Gazit, MD, Craig Futterman, MD, William G. La Cava, PhD, David S. Cooper, MD, MPH, MBA, Steven M. Schwartz, MD, MS, Joshua W. Salvin, MD, MPH

“…Recognition of patient’s evolving clinical status as well as the impact of therapeutic interventions may be delayed. OBJECTIVE:. The predictive analytics algorithm, inadequate delivery of oxygen (IDo2) index, was developed to noninvasively estimate the probability of a patient’s Svo2 to fall below a preselected threshold. …”
Get full text

Streamlining referrals by establishing a UAE-specific referral algorithm for CVD patients with overlapping COPD: a collaborative effort by cardiologists and pulmonologists by Abdulla Shehab, Ashraf Alzaabi, Abdulmajeed Al Zubaidi, Bassam Mahboub, Hadi Skouri, Hamad Alhameli, Hassan El-Tamimi, Mohammed Nizam Iqbal

“…The task force has proposed an algorithm to expedite the referral of CVD patients suspected of COPD from cardiology to pulmonology.ConclusionImplementing this referral algorithm across all cardiology departments in the UAE can facilitate the diagnosis of COPD in CVD patients, allow timely treatment of COPD, and improve patient outcomes.…”
Get full text

Paediatric atopic eczema (atopic dermatitis) in South Africa: A practical algorithm for the management of mild-to-moderate disease in daily clinical practice by Susanna M. Kannenberg, Sarah Karabus, Willem I. Visser, Jamilabibi Aboobaker, Magdalena M. Kriel, Michael Levin, Basil Magigaba, Ahmed Manjra, Rupesh Misra, Pholile Mpofu, Azwitamisi Tshigabe, Thomas Luger

“…Topical corticosteroids may be used when TCIs are unavailable. In non-sensitive skin areas, TCSs should be used for mild-to-moderate AE, but TCIs twice daily may be considered. …”
Get full text

Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

Get full text

Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

Get full text

Machine learning algorithms as early diagnostic tools for prolonged operative time in patients with fluorescent laparoscopic cholecystectomy: a retrospective cohort study by Chu Wang, Chu Wang, JunYe Wen, ZiYi Su, HanXiang Yu

Get full text

Apply PSO into cloud storage task scheduling with QoS preference awareness by Juan WANG, Fei LI, Lu-qiao ZHANG

“…The task scheduling algorithm in cloud storage area with QoS preference awareness was studied.Firstly,the differences between cloud storage and cloud computing were pointed,and exist matrix was used to avoid the creation of useless solutions.Secondly,QoS factors were summarized into three classes:time,cost and quality classes.Based on the three classes,the fitness function of the PSO was improved by using weighted factors to adjust the QoS preference.The simulation results release that PSO is not fit for the overall scheduling when the task distributions of different degrees are unevenness because the QoS demand of wide distribution tasks may cover the QoS demand of other tasks.So a hierarchical scheduling based on degree is necessary.The simulation results show that the improved hierarchical PSO scheduling algorithm can aware the QoS preference relevantly.…”
Get full text

A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data by Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He

“…The results show that the distribution features may be different for the same type of microseismic (MS) and rockburst events, and different types of events may show similar distribution features. …”
Get full text

Design of weighted based divided-search enhanced Karnik–Mendel algorithms for type reduction of general type-2 fuzzy logic systems by Yang Chen

“…Then a type of weighted divided search enhanced Karnik–Mendel (WDEKM) algorithms is shown to complete the centroid TR. In contrast to the WEKM algorithms, four simulation instances show that the WDEKM algorithms get lesser absolute errors and faster calculational speeds, which may offer the potentially application values for applying T2 FLSs.…”
Get full text

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study by Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

“…By optimizing the initial dose, this algorithm may reduce the need for subsequent dosage adjustments. …”
Get full text

Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment by Antonio Arauzo-Azofra, Jose Molina-Baena, Maria Luque-Rodriguez

“…We applied a genetic algorithm to optimize feature selection and classification performance. …”
Get full text

PERFORMANCE REQUIRED FOR COMMON-USE COMPONENTS OF COMPUTER NETWORKS by BOLUN, Ion

“…Because the obtained in this way performances are positive real numbers, and the allowed performances of concerned entities are discrete ones, further adjustment of the solution in question, depending of the case, may be necessary. For such an adjustment, two algorithms are proposed. …”
Get full text

Modeling of turbulent fluid flow based on the solution of the Mathieu equation by V. V. Garbuzov, A. P. Preobrazhensky

“…The main reasons why turbulent flow occurs are due to the existence of high velocities of movement in fluids; besides that, there may be obstacles or changes in the shapes of flows. …”
Get full text