14 items found

Types: Method Groups: Health Studies

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  • Method

    A New Topological Approach for the Prediction of Protein-Protein Interactions

    We propose, Maximum-Proteins-Similarity(Topological)": MPS(T). MPS(T) is a topological three-length path method that scores the potential interaction between proteins by...
  • Method

    A hybrid approach for PPI

    We propose a new framework that can exploit topological and biological information to predict protein-protein interactions. The algorithm relies on the underlying hypothesis...
  • Method

    Gene-specific regularization for COPD partial-correlation estimation

    We introduce a gene-specific regularization factor when computing the Partial Correlation score to make the indeterminate regression feasible. We decided to slightly modify...
  • Method

    EpiCID: A framework for discovering interactions between SNPs

    Epistatic interactions (EIs) of gene loci often determine complex trait phenotypes. EIs may indicate the underlying molecular mechanisms of multifactorial traits and diseases....
  • Method

    SDNN24 Estimation from Semi-Continuous HR Measures

    The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices...
  • Method

    Data-driven ranking of soccer teams

    A methodology per ranking soccer teams based on soccer logs
  • Method

    A Narrative Review for a Machine Learning Application in Sports: An Example B...

    In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly...
  • Method

    Explaining the difference between men and women football

    Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often...
  • Method

    Injury forecaster for soccer players

    An algorithm to forecast the injuries of soccer players given their training workload
  • Method

    Relationship between External and Internal Workloads in Soccer Players

    The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of...
  • Method

    Estimation of Resting Heart Rate circadian rhythm

    Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to...
  • Method

    PassNet

    Deep learning for automatic detection of soccer events from broadcasted video Soccer analytics is attracting increasing interest in academia and industry, thanks to the...
  • Method

    PlayeRank evaluation framework

    The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive...
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  • Method

    Soccer teams ranking simulator

    This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a...