Showing 201 - 220 results of 478 for search 'clinical behavior analysis', query time: 0.08s Refine Results
  1. 201

    Effects of non-pharmacological interventions on depressive and anxiety symptoms in pregnant women: a systematic review and network meta-analysisResearch in context by Guowei Zeng, Jianfeng Niu, Ke Zhu, Fei Li, Liwen Li, Kaiming Gao, Yanlong Zhuang, Boyang Zhang, Xiaoqiang Han, Gang Ye, Zhikun Gao, Haobai Li

    Published 2025-01-01
    “…Subgroup analysis shows that, in addition to mindfulness therapy, mind-body exercises (SUCRA = 67.43%; SMD = −0.97, 95% CrI = −1.61, −0.33; N = 382) and cognitive-behavioral therapy (SUCRA = 52.60%; SMD = −0.74, 95% CrI = −1.38, −0.09; N = 480) may also be effective in alleviating anxiety symptoms among healthy pregnant women. …”
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  2. 202

    Meta-analysis examining the association between low platelet monoamine oxidase levels and Zuckerman's sensation seeking scale in a sex dependent manner by Jordan Winfield, Ian A. Mendez, Gabriel A. Frietze

    Published 2025-02-01
    “…These findings have potential clinical implications suggesting that MAO platelet concentrations could be used as a potential biomarker for identifying maladaptive behaviors.…”
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    Evaluating the Impact of Pharmacotherapy in Augmenting Quit Rates Among Hispanic Adults in an App-Delivered Smoking Cessation Intervention: Secondary Analysis of a Randomized Contr... by Margarita Santiago-Torres, Kristin E Mull, Brianna M Sullivan, Ana Paula Cupertino, Ramzi G Salloum, Matthew Triplette, Michael J Zvolensky, Jonathan B Bricker

    Published 2025-01-01
    “…ObjectiveThis secondary analysis used data from a randomized controlled trial that compared the efficacy of 2 smoking cessation apps, iCanQuit (based on acceptance and commitment therapy) and QuitGuide (following US clinical practice guidelines), to explore the association between pharmacotherapy use and smoking cessation outcomes among the subsample of 173 Hispanic participants who reported on pharmacotherapy use. …”
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    Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

    Published 2025-01-01
    “…Depression is a widespread mental health disorder that may remain undiagnosed by conventional clinical methods. The rapidly growing world of social media sites such as Twitter, Reddit, Facebook, Instagram, and Weibo has provided new avenues for depression detection using Machine Learning (ML) as well as Deep Learning (DL), which analyze user behavior patterns and linguistic cues for more accurate detection of depression. …”
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    Is the treatment of ankle osteoarthritis changing over time in Italy? Analysis of temporal trends for fusion and arthroplasty in a population-based study from 2001 to 2022 on the N... by Adriano Cuccu, Elena Manuela Samaila, Enrico Ciminello, Umberto Alfieri Montrasio, Fabrizio Cortese, Stefania Ceccarelli, Tiziana Falcone, Marina Torre

    Published 2025-01-01
    “…The analysis of the number of procedures performed on inhabitants by region and that performed by all the hospitals in the region showed a different pattern across Italy. …”
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