ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations.

Accurately assigning standardized diagnosis and procedure codes from clinical text is crucial for healthcare applications. However, this remains challenging due to the complexity of medical language. This paper proposes a novel model that incorporates extreme multi-label classification tasks to enhance International Classification of Diseases (ICD) coding.

Dynamicity of brain network organization & their community architecture as characterizing features for classification of common mental disorders from whole-brain connectome.

The urgency of addressing common mental disorders (bipolar disorder, attention-deficit hyperactivity disorder (ADHD), and schizophrenia) arises from their significant societal impact. Developing strategies to support psychiatrists is crucial. Previous studies focused on the relationship between these disorders and changes in the resting-state functional connectome's modularity, often using static functional connectivity (sFC) estimation.

Transitioning to a Mixed-Mode Study Design in a National Household Panel Study: Effects on Fieldwork Outcomes, Sample Composition and Costs.

The U.S. Panel Study of Income Dynamics (PSID) made a planned transition to a web-first mixed-mode data collection design in 2021 (web and computer-assisted telephone interviewing [CATI]), following nearly five decades of collecting data primarily using CATI with professional interviewers.

Toward adapting the UN's healthy aging agenda for India: tailoring to unique historical context and traditions.

India is known for its rich cultural heritage with different cultures and customs. Indian historical traditions and cultures were molded in a manner that most older adults were cared for at home by their children. However, India is being urbanized and developing swiftly changing its socio-cultural scenarios.

THE EFFECTS OF A TARGETED "EARLY BIRD" INCENTIVE STRATEGY ON RESPONSE RATES, FIELDWORK EFFORT, AND COSTS IN A NATIONAL PANEL STUDY.

Adaptive survey designs are increasingly used by survey practitioners to counteract ongoing declines in household survey response rates and manage rising fieldwork costs. This paper reports findings from an evaluation of an early-bird incentive (EBI) experiment targeting high-effort respondents who participate in the 2019 wave of the US Panel Study of Income Dynamics. We identified a subgroup of high-effort respondents at risk of nonresponse based on their prior wave fieldwork effort and randomized them to a treatment offering an extra time-delimited monetary incentive for completing their interview within the first month of data collection (treatment group; = 800) or the standard study incentive (control group; = 400).