Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes
暂无分享,去创建一个
Stephen B. Johnson | Joseph J. DeFerio | Jyotishman Pathak | Thomas R. Campion | Evan Sholle | Evan T. Sholle | Prakash Adekkanattu | Evan T Sholle | J. Pathak | T. Campion | Joseph J Deferio | P. Adekkanattu | E. Sholle | Jyotishman Pathak | Prakash Adekkanattu
[1] Stephen B. Johnson,et al. From Sour Grapes to Low-Hanging Fruit: A Case Study Demonstrating a Practical Strategy for Natural Language Processing Portability , 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.
[2] A V Gundlapalli,et al. Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments , 2018, Applied Clinical Informatics.
[3] Sherri Rose,et al. Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings , 2017, J. Am. Medical Informatics Assoc..
[4] Scott L. DuVall,et al. Unlocking echocardiogram measurements for heart disease research through natural language processing , 2017, BMC Cardiovascular Disorders.
[5] S. Grover,et al. Clinical Practice Guidelines for the management of Depression , 2017, Indian Journal of Psychiatry.
[6] Stephen B. Johnson,et al. Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers , 2017, AMIA.
[7] Mark Olfson,et al. Treatment of Adult Depression in the United States. , 2016, JAMA internal medicine.
[8] Adi V. Gundlapalli,et al. v3NLP Framework: Tools to Build Applications for Extracting Concepts from Clinical Text , 2016, EGEMS.
[9] Rachel L. Richesson,et al. A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications , 2016, EGEMS.
[10] Joshua C. Denny,et al. Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance , 2016, J. Am. Medical Informatics Assoc..
[11] Paul A. Harris,et al. Desiderata for computable representations of electronic health records-driven phenotype algorithms , 2015, J. Am. Medical Informatics Assoc..
[12] I. Kohane,et al. Development of phenotype algorithms using electronic medical records and incorporating natural language processing , 2015, BMJ : British Medical Journal.
[13] Laura Manea,et al. A diagnostic meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) algorithm scoring method as a screen for depression. , 2015, General hospital psychiatry.
[14] Shamkant B. Navathe,et al. Identifying Patients with Depression Using Free-text Clinical Documents , 2015, MedInfo.
[15] K. E. Ravikumar,et al. Automated chart review for asthma cohort identification using natural language processing: an exploratory study. , 2013, Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology.
[16] G. Freedman,et al. Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010 , 2013, PLoS medicine.
[17] Sue E Bowman. Impact of electronic health record systems on information integrity: quality and safety implications. , 2013, Perspectives in health information management.
[18] Shuying Shen,et al. Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure , 2012, J. Am. Medical Informatics Assoc..
[19] Hongfang Liu,et al. Clinical decision support with automated text processing for cervical cancer screening , 2012, J. Am. Medical Informatics Assoc..
[20] Joanne Rodda,et al. Depression in older adults , 2011, BMJ : British Medical Journal.
[21] M. Fava,et al. Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model , 2011, Psychological Medicine.
[22] Christopher G Chute,et al. Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[23] Hua Xu,et al. Extracting timing and status descriptors for colonoscopy testing from electronic medical records , 2010, J. Am. Medical Informatics Assoc..
[24] Hans-Ulrich Wittchen,et al. Mental disorders in primary care , 2003, Dialogues in clinical neuroscience.
[25] Derek D. Reed,et al. Major depression. , 1998, Managed care interface.