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Improving the delivery of palliative care through predictive modeling and healthcare informatics.
Murphree, Dennis H; Wilson, Patrick M; Asai, Shusaku W; Quest, Daniel J; Lin, Yaxiong; Mukherjee, Piyush; Chhugani, Nirmal; Strand, Jacob J; Demuth, Gabriel; Mead, David; Wright, Brian; Harrison, Andrew; Soleimani, Jalal; Herasevich, Vitaly; Pickering, Brian W; Storlie, Curtis B.
Affiliation
  • Murphree DH; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
  • Wilson PM; Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
  • Asai SW; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
  • Quest DJ; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
  • Lin Y; Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Mukherjee P; Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Chhugani N; Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Strand JJ; Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Demuth G; Division of Palliative Care, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Mead D; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
  • Wright B; Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Harrison A; Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Soleimani J; Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Herasevich V; Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Pickering BW; Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Storlie CB; Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, USA.
J Am Med Inform Assoc ; 28(6): 1065-1073, 2021 06 12.
Article in En | MEDLINE | ID: mdl-33611523
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Palliative Care / Medical Informatics / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Palliative Care / Medical Informatics / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: United States