Prostate cancer radiomics: A study on IMRT response prediction based on MR image features and machine learning approaches

Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey

In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...

Prostate cancer Radiomics using multiparametric MR imaging

task-based language teaching in iran: a mixed study through constructing and validating a new questionnaire based on theoretical, sociocultural, and educational frameworks

جنبه های گوناگونی از زندگی در ایران را از جمله سبک زندگی، علم و امکانات فنی و تکنولوژیکی می توان کم یا بیش وارداتی در نظر گرفت. زبان انگلیسی و روش تدریس آن نیز از این قاعده مثتسنی نیست. با این حال گاهی سوال پیش می آید که آیا یک روش خاص با زیر ساخت های نظری، فرهنگی اجتماعی و آموزشی جامعه ایرانی سازگاری دارد یا خیر. این تحقیق بر اساس روش های ترکیبی انجام شده است.پرسش نامه ای نیز برای زبان آموزان ...

Protein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches

DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...

Radiomics modelling of IMRT induced acute rectal toxicity using clinical and magnetic resonance imaging features

Introduction: Rectal toxicity is a dose limiting issue in prostate cancer radiotherapy. Prediction of these effects may be used to tailor the therapy. The purpose of this work was to develop predictive radiomic models based on clinical, dosimetric and radiomic features extracted from rectal wall magnetic resonance image (MRI).   Materials and Methods: This st...

Time series forecasting of Bitcoin price based on ARIMA and machine learning approaches

Bitcoin as the current leader in cryptocurrencies is a new asset class receiving significant attention in the financial and investment community and presents an interesting time series prediction problem. In this paper, some forecasting models based on classical like ARIMA and machine learning approaches including Kriging, Artificial Neural Network (ANN), Bayesian method, Support Vector Machine...