Histopathologic Concerns and Diagnostic Challenges in Hirschsprung’s Disease: An Eastern European Single-Center Observational Study by Emőke Horváth, Zoltán Derzsi, Eliza Löckli, Gyopár-Beáta Molnár, Zsolt Bara, Evelyn Kovács, Horea Gozar

Get full text

Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study by Yuan Liu, Songyun Zhao, Wenyi Du, Wei Shen, Ning Zhou

“…BackgroundGastroparesis following complete mesocolic excision (CME) can precipitate a cascade of severe complications, which may significantly hinder postoperative recovery and diminish the patient’s quality of life. In the present study, four advanced machine learning algorithms—Extreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), and k-nearest neighbor (KNN)—were employed to develop predictive models. …”
Get full text

Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

“…Remaining useful life (RUL) estimation is one of the main objectives of prognostics and health management (PHM) frameworks. …”
Get full text

An algorithmic multiple attribute decision-making context to model uncertainty associated with hospital site selection problem using complex sv-neutrosophic soft information by Khuram Ali Khan, Ali Asghar, Atiqe Ur Rahman, Rostin Matendo Mabela

“…Decision-making approaches are often used in uncertain environments by people who must make difficult judgments in daily life, including elements of varied qualities and costs. …”
Get full text

Electro-Stimulation System with Artificial-Intelligence-Based Auricular-Triggered Algorithm to Support Facial Movements in Peripheral Facial Palsy: A Simulation Pilot Study by Katharina Steiner, Marius Arnz, Gerd Fabian Volk, Orlando Guntinas-Lichius

“…An artificial intelligence (AI)-based auricular-triggered algorithm is used to classify the intended facial movements. …”
Get full text

Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and healt... by Daniel Niguse Mamo, Agmasie Damtew Walle, Eden Ketema Woldekidan, Jibril Bashir Adem, Yosef Haile Gebremariam, Meron Asmamaw Alemayehu, Ermias Bekele Enyew, Shimels Derso Kebede

“…Postnatal care refers to the support provided to mothers and their newborns immediately after childbirth and during the first six weeks of life, a period when most maternal and neonatal deaths occur. …”
Get full text

Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van by Pinar Karakus

“…Water is an essential necessity for maintaining the life cycle on Earth. These resources are continuously changing because of human activities and climate-related factors. …”
Get full text

Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms by Thomas Ott, Jascha Stracke, Susanna Sellin, Marc Kriege, Gerrit Toenges, Carsten Lott, Sebastian Kuhn, Kristin Engelhard

“…In this stressful situation, two complex algorithms facilitate decision-making to save a patient’s life: difficult airway management and cardiopulmonary resuscitation. …”
Get full text

Dynamical Analysis and Parameter Estimation of Hepatitis B Disease Model in Malang by Fitroh Aulani, Wuryansari Muharini Kusumawinahyu, Isnani Darti

Get full text

Health-Related Quality-of-Life Utility Values in Adults With Late-Onset Pompe Disease: Analyses of EQ-5D Data From the PROPEL Clinical Trial by Alison Griffiths, Simon Shohet, Neil Johnson, Alasdair MacCulloch

“…EQ-5D-5L utility values were mapped to EQ-5D-3L values using the van Hout algorithm as recommended by the EuroQoL and the National Institute of Health and Care Excellence position statement at time of analysis. …”
Get full text

Using Life’s Essential 8 and heavy metal exposure to determine infertility risk in American women: a machine learning prediction model based on the SHAP method by Xiaoqing Gu, Qianbing Li, Xiangfei Wang

“…BackgroundFertility status is a marker of future health, and female infertility has been shown to be an important medical and social problem. Life’s Essential 8 (“LE8”) is a comprehensive cardiovascular health assessment proposed by the American Heart Association. …”
Get full text

Economic burden of the novel coronavirus infection: a systematic review by V. M. Timiryanova, I. A. Lakman, N. Sh. Zagidullin, D. F. Gareeva

“…Predominantly, the estimates involve the calculation of quality-adjusted life years lost (QALY) (66.3%), 37.6% of the studies are based on the results of constructing scenario models, 28.8% consume algorithms of epidemiological SIR (susceptible, infected, or recovered) models, and 66.3% provide for cost assessment. …”
Get full text

Artificial Intelligence-Powered Recommender Systems for Promoting Healthy Habits and Active Aging: A Systematic Review by Juan Lopez-Barreiro, Jose Luis Garcia-Soidan, Luis Alvarez-Sabucedo, Juan M. Santos-Gago

“…(1) Background: Increasing life expectancy allows for more age-related health issues. …”
Get full text

Synthesis and Kinematic Analysis for Bi-objective Path of Six-bar Linkage by Guangzhen Cui, Yanqiu Xiao, Caidong Wang, Zhiqiang Guo

“…Then，the regeneration homotopy algorithm is used to reach the fast solution of the synthesis equations，this algorithm is easy and does not involve the complex elimination process and the problem of selecting the initial value. …”
Get full text

Diagnostic criteria for spinal muscular atrophy 5q by I. V. Sharkova, E. L. Dadali, S. S. Nikitin

“…An attempt was made to isolate the main symptoms, which are the basis for the mandatory exclusion of 5qCMA by molecular genetic methods in patients with the onset of the disease before and after 18 months of life.…”
Get full text

User Preference Maps: Quantifying the Built Environment by Sanghyun Son, Hyoensu Kim

“…The built environment in which we live holds the potential to provide life experiences that allow pedestrians to observe, feel, learn, and grow through their surroundings in everyday urban spaces. …”
Get full text

Vehicle routing problem in a medical facility waste collection company: a comparative analysis of guided local search, simulated annealing and tabu search algorithm by Michael Anderson, Sumarsono Sudarto

“…Vehicle Routing Problem (VRP) is closely related to real-life situations, particularly in logistics. Therefore, this research aimed to 1) solve VRP problem faced by a waste management company by comparing three algorithms, namely guided local search, tabu search, and simulated annealing. 2) summarize the development of VRP by comparing several variants, and 3) assess the environmental impact through sensitivity analysis. …”
Get full text

Landslide Forecasting Model Based on PCA and Improved CS-RBF by WANG Lianxia, LI Limin, FANG Zihao, REN Ruibin, FU Zhentao, CUI Chengtao

“…Landslide disasters pose a serious threat to human life and property, and strengthening effective forecasting of landslide disasters is of great significance. …”
Get full text

Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Results demonstrate that the improved grey wolf optimization (IGWO) algorithm is more effective at reducing costs and provides faster optimal solutions.…”
Get full text

LSTM-Based NLP Chatbot for Fish E-Marketplace at BBI Cangkiran Mijen by Tri Agus Wahyudi, Riana Defi Mahadji Putri, Ulfah Mediaty Arief, Vera Noviana Sulistyawan

“…Algorithm validation results show an accuracy of 97%, precision of 94%, and recall of 95%.…”
Get full text