Chronic Care Management

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  Multimodal Machine Learning-Based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

  • Published on: May, 2019
  • Stefan Klein, Esa Rahtu, Aleksei Tiulpin, Edwin H.G. Oei, Jer´ome Thevenot, Simo Saarakkala, Sita M.A. Bierma-...
  • Code Available

  This is a machine learning-based Knee osteoarthritis progression prediction model that utilizes radiographic data, clinical examination results and pr ...

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  Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography

  • Published on: July, 2019
  • Aleksei Tiulpin, Heikki J. Nieminen, Mikko Finnilä, Simo Saarakkala, Petri Lehenkari
  • Code Available

  Osteoarthritis (OA) is primarily characterized by progressive degeneration of structure and composition articular cartilage (AC), along with the scler ...

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  ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information

  • Published on: September, 2019
  • Charles Bournhonesque, Christopher Ré, Suvrat Bhooshan, Jennifer Hicks, Eni Halilaj, Madalina Fiterau, Jason F...
  • Code Available

  In biomedical applications, time series data is frequently observed along structured information. ShortFuse, an approach where accuracy of deep learni ...

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  An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction

  • Published on: April, 2020
  • Scott T. Acton , Tamal Batabyal, Meheli Basu, Aniruddha Dutta
  • Code Available

  The study brings an effective convolutional neural network model for classification of clinical data which is highly imbalanced. The data is obtained ...

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  Supervised Machine Learning based Ensembled Model for Accurate Prediction of Type-2 Diabetes

  • Published on: January, 2019
  • Ni Nguyen, Ivan Garibay , Ramya Akula

  Diabetes is a condition that impairs the body's ability to process blood glucose. Early detection of diabetes can make patients life more healthy and ...