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The publication data currently available has been vetted by Vanderbilt faculty, staff, administrators and trainees. The data itself is retrieved directly from NCBI's PubMed and is automatically updated on a weekly basis to ensure accuracy and completeness.

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Results: 1 to 10 of 29

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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.
Jamian L, Wheless L, Crofford LJ, Barnado A
(2019) Arthritis Res Ther 21: 305
MeSH Terms: Adult, Aged, Aged, 80 and over, Algorithms, Databases, Factual, Electronic Health Records, Female, Humans, International Classification of Diseases, Machine Learning, Male, Middle Aged, Reproducibility of Results, Scleroderma, Systemic, Sensitivity and Specificity
Added March 25, 2020
0 Communities
1 Members
0 Resources
15 MeSH Terms
Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian disease.
Bastarache L, Hughey JJ, Goldstein JA, Bastraache JA, Das S, Zaki NC, Zeng C, Tang LA, Roden DM, Denny JC
(2019) J Am Med Inform Assoc 26: 1437-1447
MeSH Terms: Adult, Child, Cystic Fibrosis, Data Mining, Electronic Health Records, Genetic Diseases, Inborn, Humans, International Classification of Diseases, Phenotype, Risk Factors
Added March 24, 2020
0 Communities
1 Members
0 Resources
10 MeSH Terms
A comparison of two algorithms to identify sudden cardiac deaths in computerized databases.
Min JY, Grijalva CG, Morrow JA, Whitmore CC, Hawley RE, Singh S, Swain RS, Griffin MR
(2019) Pharmacoepidemiol Drug Saf 28: 1411-1416
MeSH Terms: Administrative Claims, Healthcare, Adolescent, Adult, Algorithms, Cause of Death, Clinical Coding, Cross-Sectional Studies, Data Collection, Databases, Factual, Death Certificates, Death, Sudden, Cardiac, Emergency Service, Hospital, Female, Humans, International Classification of Diseases, Male, Medicaid, Middle Aged, Tennessee, United States, Young Adult
Added March 29, 2022
0 Communities
1 Members
0 Resources
MeSH Terms
Performance of a computable phenotype for identification of patients with diabetes within PCORnet: The Patient-Centered Clinical Research Network.
Wiese AD, Roumie CL, Buse JB, Guzman H, Bradford R, Zalimeni E, Knoepp P, Morris HL, Donahoo WT, Fanous N, Epstein BF, Katalenich BL, Ayala SG, Cook MM, Worley KJ, Bachmann KN, Grijalva CG, Rothman RL, Chakkalakal RJ
(2019) Pharmacoepidemiol Drug Saf 28: 632-639
MeSH Terms: Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Cohort Studies, Comparative Effectiveness Research, Computer Communication Networks, Diabetes Mellitus, Type 2, Electronic Health Records, Female, Humans, Incidence, Information Storage and Retrieval, International Classification of Diseases, Male, Middle Aged, Patient-Centered Care, Retrospective Studies, United States, Young Adult
Added March 29, 2022
0 Communities
1 Members
0 Resources
MeSH Terms
Diagnostic Algorithms for Cardiovascular Death in Administrative Claims Databases: A Systematic Review.
Singh S, Fouayzi H, Anzuoni K, Goldman L, Min JY, Griffin M, Grijalva CG, Morrow JA, Whitmore CC, Leonard CE, Selvan M, Nair V, Zhou Y, Toh S, Petrone A, Williams J, Fazio-Eynullayeva E, Swain R, Tyler Coyle D, Andrade S
(2019) Drug Saf 42: 515-527
MeSH Terms: Algorithms, Cardiovascular System, Data Collection, Databases, Factual, Death, Sudden, Cardiac, Humans, International Classification of Diseases, Observational Studies as Topic
Added March 29, 2022
0 Communities
1 Members
0 Resources
MeSH Terms
Validation of discharge diagnosis codes to identify serious infections among middle age and older adults.
Wiese AD, Griffin MR, Stein CM, Schaffner W, Greevy RA, Mitchel EF, Grijalva CG
(2018) BMJ Open 8: e020857
MeSH Terms: Aged, Aged, 80 and over, Algorithms, Clinical Coding, Female, Humans, Infections, International Classification of Diseases, Male, Medicaid, Medical Records, Middle Aged, Patient Discharge, Predictive Value of Tests, Reproducibility of Results, Retrospective Studies, Tennessee, United States
Added July 27, 2018
0 Communities
1 Members
0 Resources
18 MeSH Terms
Validation of an algorithm to identify heart failure hospitalisations in patients with diabetes within the veterans health administration.
Presley CA, Min JY, Chipman J, Greevy RA, Grijalva CG, Griffin MR, Roumie CL
(2018) BMJ Open 8: e020455
MeSH Terms: Adult, Aged, Algorithms, Diabetes Complications, Diabetes Mellitus, Diagnosis-Related Groups, Female, Heart Failure, Hospitalization, Humans, International Classification of Diseases, Male, Middle Aged, Predictive Value of Tests, Sensitivity and Specificity, Veterans
Added July 27, 2018
0 Communities
1 Members
0 Resources
16 MeSH Terms
The time has come for dimensional personality disorder diagnosis.
Hopwood CJ, Kotov R, Krueger RF, Watson D, Widiger TA, Althoff RR, Ansell EB, Bach B, Michael Bagby R, Blais MA, Bornovalova MA, Chmielewski M, Cicero DC, Conway C, De Clercq B, De Fruyt F, Docherty AR, Eaton NR, Edens JF, Forbes MK, Forbush KT, Hengartner MP, Ivanova MY, Leising D, John Livesley W, Lukowitsky MR, Lynam DR, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Hans Ormel J, Patrick CJ, Pincus AL, Ruggero C, Samuel DB, Sellbom M, Slade T, Tackett JL, Thomas KM, Trull TJ, Vachon DD, Waldman ID, Waszczuk MA, Waugh MH, Wright AGC, Yalch MM, Zald DH, Zimmermann J
(2018) Personal Ment Health 12: 82-86
MeSH Terms: Humans, International Classification of Diseases, Personality Disorders
Added March 21, 2018
0 Communities
1 Members
0 Resources
3 MeSH Terms
Developing Electronic Health Record Algorithms That Accurately Identify Patients With Systemic Lupus Erythematosus.
Barnado A, Casey C, Carroll RJ, Wheless L, Denny JC, Crofford LJ
(2017) Arthritis Care Res (Hoboken) 69: 687-693
MeSH Terms: Adult, Aged, Algorithms, Antibodies, Antinuclear, Antirheumatic Agents, Electronic Health Records, Female, Humans, International Classification of Diseases, Lupus Erythematosus, Systemic, Male, Middle Aged, Predictive Value of Tests, Reproducibility of Results, Sensitivity and Specificity
Added March 14, 2018
0 Communities
2 Members
0 Resources
15 MeSH Terms
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.
Kirby JC, Speltz P, Rasmussen LV, Basford M, Gottesman O, Peissig PL, Pacheco JA, Tromp G, Pathak J, Carrell DS, Ellis SB, Lingren T, Thompson WK, Savova G, Haines J, Roden DM, Harris PA, Denny JC
(2016) J Am Med Inform Assoc 23: 1046-1052
MeSH Terms: Algorithms, Data Mining, Electronic Health Records, Genomics, Humans, International Classification of Diseases, Knowledge Bases, Natural Language Processing, Phenotype
Added March 14, 2018
0 Communities
2 Members
0 Resources
9 MeSH Terms