Visualizing machine learning-based predictions of postpartum depression risk for lay audiences
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences
Authors
Keywords
-
Journal
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2023-10-18
DOI
10.1093/jamia/ocad198
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Data quality in online human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA
- (2023) Benjamin D. Douglas et al. PLoS One
- Taxonomies for synthesizing the evidence on communicating numbers in health: Goals, format, and structure
- (2022) Jessica S. Ancker et al. RISK ANALYSIS
- Current Challenges When Using Numbers in Patient Decision Aids: Advanced Concepts
- (2021) Lyndal J. Trevena et al. MEDICAL DECISION MAKING
- Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles
- (2021) Carissa Bonner et al. MEDICAL DECISION MAKING
- Imprecision and Preferences in Interpretation of Verbal Probabilities in Health: a Systematic Review
- (2021) Katerina Andreadis et al. JOURNAL OF GENERAL INTERNAL MEDICINE
- A randomised controlled trial of the effect of providing online risk information and lifestyle advice for the most common preventable cancers
- (2020) Golnessa Masson et al. PREVENTIVE MEDICINE
- Broadband Internet Access Is a Social Determinant of Health!
- (2020) Natalie C. Benda et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Pregnancy as a “golden opportunity” for patient activation and engagement
- (2020) Lynn M. Yee et al. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
- Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women
- (2020) Yiye Zhang et al. JOURNAL OF AFFECTIVE DISORDERS
- Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change
- (2019) Yasmina Okan et al. MEDICAL DECISION MAKING
- Interventions to Prevent Perinatal Depression
- (2019) Elizabeth O’Connor et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Recognizing maternal mental health disorders
- (2019) Amanda Yeaton-Massey et al. CURRENT OPINION IN OBSTETRICS & GYNECOLOGY
- Early Adopters of Patient-Generated Health Data Upload in an Electronic Patient Portal
- (2019) Jessica Ancker et al. Applied Clinical Informatics
- A Systematic Review of Patient-Facing Visualizations of Personal Health Data
- (2019) Meghan Reading Turchioe et al. Applied Clinical Informatics
- Visual analogies, not graphs, increase patients' comprehension of changes in their health status
- (2019) Meghan Reading Turchioe et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator
- (2019) William K Diprose et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Trends in Shared Decision-Making Studies From 2009 to 2018: A Bibliometric Analysis
- (2019) Cuncun Lu et al. Frontiers in Public Health
- Heuristics and biases in cardiovascular disease prevention: How can we improve communication about risk, benefits and harms?
- (2018) Carissa Bonner et al. PATIENT EDUCATION AND COUNSELING
- The Impact of Information Presentation Format on Preferencefor Total Knee Replacement Surgery
- (2018) Liana Fraenkel et al. ARTHRITIS CARE & RESEARCH
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Influence of Cardiovascular Risk Communication Tools and Presentation Formats on Patient Perceptions and Preferences
- (2018) Ann Marie Navar et al. JAMA Cardiology
- Patient portal readiness among postpartum patients in a safety net setting
- (2017) Anne Gibeau et al. Applied Clinical Informatics
- Graphics help patients distinguish between urgent and non-urgent deviations in laboratory test results
- (2016) Brian J Zikmund-Fisher et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Designing Graphs to Communicate Risks: Understanding How the Choice of Graphical Format Influences Decision Making
- (2016) Eric R. Stone et al. RISK ANALYSIS
- Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy
- (2015) Adriana Arcia et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Validation of a Short, 3-Item Version of the Subjective Numeracy Scale
- (2015) Candace D. McNaughton et al. MEDICAL DECISION MAKING
- Improving bone mineral density reporting to patients with an illustration of personal fracture risk
- (2014) Stephanie W Edmonds et al. BMC Medical Informatics and Decision Making
- Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics
- (2014) Holly O Witteman et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Improving communication of breast cancer recurrence risk
- (2011) Noel T. Brewer et al. BREAST CANCER RESEARCH AND TREATMENT
- Communication of Uncertainty Regarding Individualized Cancer Risk Estimates
- (2010) Paul K. J. Han et al. MEDICAL DECISION MAKING
- Graph Literacy
- (2010) Mirta Galesic et al. MEDICAL DECISION MAKING
- Women’s Attitudes, Preferences, and Perceived Barriers to Treatment for Perinatal Depression
- (2009) Janice H. Goodman BIRTH-ISSUES IN PERINATAL CARE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation