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Connection

Oguz Akbilgic to Prospective Studies

This is a "connection" page, showing publications Oguz Akbilgic has written about Prospective Studies.
Connection Strength

0.193
  1. Karabayir I, Butler L, Goldman SM, Kamaleswaran R, Gunturkun F, Davis RL, Ross GW, Petrovitch H, Masaki K, Tanner CM, Tsivgoulis G, Alexandrov AV, Chinthala LK, Akbilgic O. Predicting Parkinson's Disease and Its Pathology via Simple Clinical Variables. J Parkinsons Dis. 2022; 12(1):341-351.
    View in: PubMed
    Score: 0.134
  2. Thomas S, de la Pena P, Butler L, Akbilgic O, Heiferman DM, Garg R, Gill R, Serrone JC. Machine learning models improve prediction of large vessel occlusion and mechanical thrombectomy candidacy in acute ischemic stroke. J Clin Neurosci. 2021 Sep; 91:383-390.
    View in: PubMed
    Score: 0.032
  3. Kamaleswaran R, Akbilgic O, Hallman MA, West AN, Davis RL, Shah SH. Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU. Pediatr Crit Care Med. 2018 Oct; 19(10):e495-e503.
    View in: PubMed
    Score: 0.027
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.