Pullout Strength Predictor: A Machine Learning Approach

Debt Collection Industry: Machine Learning Approach

Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...

Pullout strength of knotless suture anchors.

PURPOSE Suture anchors are used consistently for repairs of soft tissues, especially around the glenohumeral joint. These anchors can be used either arthroscopically or in an open procedure to anatomically restore the labrum and capsular tissues to the glenoid after avulsion injuries (Bankart lesion). The purpose of this study was to analyze the pullout strength of a new knotless suture anchor ...

A comparison of screw insertion torque and pullout strength.

PURPOSE Pullout strength of screws is a parameter used to evaluate plate screw fixation strength. However, screw fixation strength may be more closely related to its ability to generate sufficient insertion because stable nonlocked plate-screw fracture fixation requires sufficient compression between plate and bone such that no motion occurs between the plate and bone under physiological loads....

Machine teaching: a machine learning approach to technology enhanced learning

Many applications of Technology Enhanced Learning are based on strong assumptions: Knowledge needs to be standardized, structured and most of all externalized into learning material that preferably is annotated with meta-data for efficient re-use. A vast body of valuable knowledge does not meet these assumptions, including informal knowledge such as experience and intuition that is key to many ...

Machine Learning A Probabilistic Approach