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Connection

David McManus to Machine Learning

This is a "connection" page, showing publications David McManus has written about Machine Learning.
Connection Strength

1.083
  1. Lilly CM, Soni AV, Dunlap D, Hafer N, Picard MA, Buchholz B, McManus DD. Advancing Point-of-Care Testing by Application of Machine Learning Techniques and Artificial Intelligence. Chest. 2025 Jan; 167(1):152-159.
    View in: PubMed
    Score: 0.813
  2. Rongali S, Rose AJ, McManus DD, Bajracharya AS, Kapoor A, Granillo E, Yu H. Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation. J Med Internet Res. 2020 03 23; 22(3):e16374.
    View in: PubMed
    Score: 0.150
  3. Bashar SK, Ding EY, Walkey AJ, McManus DD, Chon KH. Atrial Fibrillation Prediction from Critically Ill Sepsis Patients. Biosensors (Basel). 2021 Aug 09; 11(8).
    View in: PubMed
    Score: 0.041
  4. Bashar SK, Han D, Zieneddin F, Ding E, Fitzgibbons TP, Walkey AJ, McManus DD, Javidi B, Chon KH. Novel Density Poincar? Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions. IEEE Trans Biomed Eng. 2021 02; 68(2):448-460.
    View in: PubMed
    Score: 0.040
  5. Guan W, Ko D, Khurshid S, Trisini Lipsanopoulos AT, Ashburner JM, Harrington LX, Rost NS, Atlas SJ, Singer DE, McManus DD, Anderson CD, Lubitz SA. Automated Electronic Phenotyping of Cardioembolic Stroke. Stroke. 2021 01; 52(1):181-189.
    View in: PubMed
    Score: 0.039
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.