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Connection

Mathias Brochhausen to Databases, Factual

This is a "connection" page, showing publications Mathias Brochhausen has written about Databases, Factual.

 
Connection Strength
  
 
 
0.576
  
  1. Hoang L, Boyce RD, Bosch N, Stottlemyer B, Brochhausen M, Schneider J. Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation. AMIA Annu Symp Proc. 2020; 2020:554-563.
    View in: PubMed
    Score: 0.150
  2. Boyce RD, Ragueneau-Majlessi I, Yu J, Tay-Sontheimer J, Kinsella C, Chou E, Brochhausen M, Judkins J, Gufford BT, Pinkleton BE, Cooney R, Paine MF, McCune JS. Developing User Personas to Aid in the Design of a User-Centered Natural Product-Drug Interaction Information Resource for Researchers. AMIA Annu Symp Proc. 2018; 2018:279-287.
    View in: PubMed
    Score: 0.130
  3. Ayvaz S, Horn J, Hassanzadeh O, Zhu Q, Stan J, Tatonetti NP, Vilar S, Brochhausen M, Samwald M, Rastegar-Mojarad M, Dumontier M, Boyce RD. Toward a complete dataset of drug-drug interaction information from publicly available sources. J Biomed Inform. 2015 Jun; 55:206-17.
    View in: PubMed
    Score: 0.101
  4. Brochhausen M, Spear AD, Cocos C, Weiler G, Mart?n L, Anguita A, Stenzhorn H, Daskalaki E, Schera F, Schwarz U, Sfakianakis S, Kiefer S, D?rr M, Graf N, Tsiknakis M. The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management system. J Biomed Inform. 2011 Feb; 44(1):8-25.
    View in: PubMed
    Score: 0.072
  5. Bona JP, Utecht J, Bost S, Brochhausen M, Prior F. The PRISM semantic cohort builder: a novel tool to search and access clinical data in TCIA imaging collections. Phys Med Biol. 2022 12 23; 68(1).
    View in: PubMed
    Score: 0.043
  6. Fedorov A, Hancock M, Clunie D, Brochhausen M, Bona J, Kirby J, Freymann J, Pieper S, J W L Aerts H, Kikinis R, Prior F. DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. Med Phys. 2020 Nov; 47(11):5953-5965.
    View in: PubMed
    Score: 0.037
  7. Bandrowski A, Brinkman R, Brochhausen M, Brush MH, Bug B, Chibucos MC, Clancy K, Courtot M, Derom D, Dumontier M, Fan L, Fostel J, Fragoso G, Gibson F, Gonzalez-Beltran A, Haendel MA, He Y, Heiskanen M, Hernandez-Boussard T, Jensen M, Lin Y, Lister AL, Lord P, Malone J, Manduchi E, McGee M, Morrison N, Overton JA, Parkinson H, Peters B, Rocca-Serra P, Ruttenberg A, Sansone SA, Scheuermann RH, Schober D, Smith B, Soldatova LN, Stoeckert CJ, Taylor CF, Torniai C, Turner JA, Vita R, Whetzel PL, Zheng J. The Ontology for Biomedical Investigations. PLoS One. 2016; 11(4):e0154556.
    View in: PubMed
    Score: 0.027
  8. Stenzhorn H, Weiler G, Brochhausen M, Schera F, Kritsotakis V, Tsiknakis M, Kiefer S, Graf N. The ObTiMA system - ontology-based managing of clinical trials. Stud Health Technol Inform. 2010; 160(Pt 2):1090-4.
    View in: PubMed
    Score: 0.017
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.