Exploring data-driven algorithms to identify Lyme disease cases in electronic health records.
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| Title: | Exploring data-driven algorithms to identify Lyme disease cases in electronic health records. |
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| Authors: | Linz AM; Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States of America., Scotty E; Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States of America., Meece JK; Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States of America., Nawrocki CC; Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America., Kugeler KJ; Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America., Hook SA; Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America., Hinckley AF; Centers for Disease Control and Prevention, Fort Collins, Colorado, United States of America., Schotthoefer AM; Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States of America. |
| Source: | PloS one [PLoS One] 2026 Aug 12; Vol. 21 (8), pp. e0349121. Date of Electronic Publication: 2026 Aug 12 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0349121 |
