The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017 A Etemadi, S Safiri, SG Sepanlou, K Ikuta, C Bisignano, R Shakeri, ... The lancet Gastroenterology & hepatology 5 (1), 42-54, 2020 | 511 | 2020 |
Prediction of survival and metastasis in breast cancer patients using machine learning classifiers L Tapak, N Shirmohammadi-Khorram, P Amini, B Alafchi, O Hamidi, ... Clinical Epidemiology and Global Health 7 (3), 293-299, 2019 | 124 | 2019 |
Real-data comparison of data mining methods in prediction of diabetes in Iran L Tapak, H Mahjub, O Hamidi, J Poorolajal Healthcare informatics research 19 (3), 177-185, 2013 | 93 | 2013 |
Mapping routine measles vaccination in low-and middle-income countries Nature 589 (7842), 415-419, 2021 | 91 | 2021 |
Neck and shoulder pain among elementary school students: prevalence and its risk factors E Gheysvandi, I Dianat, R Heidarimoghadam, L Tapak, ... BMC public health 19 (1), 1-11, 2019 | 80 | 2019 |
Comparative evaluation of time series models for predicting influenza outbreaks: Application of influenza-like illness data from sentinel sites of healthcare centers in Iran L Tapak, O Hamidi, M Fathian, M Karami BMC research notes 12, 1-6, 2019 | 69 | 2019 |
The impact of indoor air temperature on the executive functions of human brain and the physiological responses of body AM Abbasi, M Motamedzade, M Aliabadi, R Golmohammadi, L Tapak Health promotion perspectives 9 (1), 55, 2019 | 63 | 2019 |
Identifying important risk factors for survival in kidney graft failure patients using random survival forests O Hamidi, J Poorolajal, M Farhadian, L Tapak Iranian journal of public health 45 (1), 27, 2016 | 61 | 2016 |
A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran O Hamidi, J Poorolajal, M Sadeghifar, H Abbasi, Z Maryanaji, HR Faridi, ... Theoretical and applied climatology 119, 723-731, 2015 | 61 | 2015 |
Study of the physiological and mental health effects caused by exposure to low-frequency noise in a simulated control room AM Abbasi, M Motamedzade, M Aliabadi, R Golmohammadi, L Tapak Building Acoustics 25 (3), 233-248, 2018 | 59 | 2018 |
Mapping inequalities in exclusive breastfeeding in low-and middle-income countries, 2000–2018 NV Bhattacharjee, LE Schaeffer, SI Hay Nature Human Behaviour 5 (8), 1027-1045, 2021 | 51 | 2021 |
Combined effects of noise and air temperature on human neurophysiological responses in a simulated indoor environment AM Abbasi, M Motamedzade, M Aliabadi, R Golmohammadi, L Tapak Applied Ergonomics 88, 103189, 2020 | 51 | 2020 |
Perceived occupational stressors among emergency medical service providers: a qualitative study A Afshari, SR Borzou, F Shamsaei, E Mohammadi, L Tapak BMC Emergency Medicine 21, 1-8, 2021 | 44 | 2021 |
Survey of stress, anxiety and depression in undergraduate nursing students of Hamadan University of Medical Sciences F Shamsaei, S Yaghmaei, E Sadeghian, L Tapak Iranian journal of psychiatric nursing 6 (3), 26-31, 2018 | 36 | 2018 |
Prediction of kidney graft rejection using artificial neural network L Tapak, O Hamidi, P Amini, J Poorolajal Healthcare informatics research 23 (4), 277-284, 2017 | 36 | 2017 |
The effect of empowerment program on maternal discharge preparation and neonatal length of hospital stay: A randomized controlled trial S Moradi, M Arshdi-Bostanabad, A Seyedrasooli, L Tapak, S Valizadeh Iranian journal of nursing and midwifery research 23 (3), 172-177, 2018 | 34 | 2018 |
Competing risks data analysis with high-dimensional covariates: an application in bladder cancer L Tapak, M Saidijam, M Sadeghifar, J Poorolajal, H Mahjub Genomics, Proteomics and Bioinformatics 13 (3), 169-176, 2015 | 31 | 2015 |
Dynamic functional connectivity in temporal lobe epilepsy: a graph theoretical and machine learning approach A Fallahi, M Pooyan, N Lotfi, F Baniasad, L Tapak, ... Neurological Sciences 42, 2379-2390, 2021 | 29 | 2021 |
Epidemiological features of human brucellosis in Iran (2011-2018) and prediction of brucellosis with data-mining models H Bagheri, L Tapak, M Karami, B Amiri, Z Cherghi Journal of Research in Health Sciences 19 (4), e00462, 2019 | 29 | 2019 |
Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the … O Hamidi, L Tapak, H Abbasi, Z Maryanaji Theoretical and Applied Climatology 134 (3), 769-776, 2018 | 28 | 2018 |