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Specialty: Cancer & Oncology

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Total 124121 results found since Jan 2013.

Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data
CONCLUSIONS: Our results show that deep learning with grid search overall performs at least as well as other machine learning methods when using non-image clinical data. It is interesting to note that some of the other machine learning methods, such as XGB, RF, and SVM, are very strong competitors of DFNN when incorporating grid search. It is also worth noting that the computation time required to do grid search with DFNN is much more than that required to do grid search with the other nine machine learning methods.PMID:36233640 | DOI:10.3390/jcm11195772
Source: Clinical Breast Cancer - October 14, 2022 Category: Cancer & Oncology Authors: Xia Jiang Chuhan Xu Source Type: research

Lessons from a systematic literature search on diagnostic DNA methylation biomarkers for colorectal cancer: how to increase research value and decrease research waste
DiscussionThis systematic literature search revealed that major requirements to develop clinically relevant diagnostic CRC DNA methylation markers are often lacking. To avoid the resulting research waste, clinical needs, intended biomarker use and independent validation should be better considered prior to study design. In addition, improved reporting quality would facilitate meta-analysis, thereby increasing level of evidence and enabling clinical translation.PMID:35584320 | DOI:10.14309/ctg.0000000000000499
Source: Clinical Colorectal Cancer - May 18, 2022 Category: Cancer & Oncology Authors: Zheng Feng Cary J G Oberije Alouisa J P van de Wetering Alexander Koch Kim A D Wouters Nathalie Vaes Ad A M Masclee Beatriz Carvalho Gerrit A Meijer Maurice P Zeegers James G Herman Veerle Melotte Manon van Engeland Kim M Smits Source Type: research

Zoom behavior during visual search modulates pupil diameter and reflects adaptive control states
This study tested predictions of this theory in the context of a societally important visual search task: the review and interpretation of digital whole slide images of breast biopsies by physicians (pathologists). As these medical images are searched, pathologists encounter difficult visual features and intermittently zoom in to examine features of interest. We propose that tonic and phasic pupil diameter changes during image review may correspond to perceived difficulty and dynamic shifts between exploration and exploitation control states. To examine this possibility, we monitored visual search behavior and tonic and ph...
Source: Cancer Control - March 9, 2023 Category: Cancer & Oncology Authors: Tad T Bruny é Trafton Drew Kathleen F Kerr Hannah Shucard Kate Powell Donald L Weaver Joann G Elmore Source Type: research

Readability Analysis of Online Breast Cancer Surgery Patient Education Materials from National Cancer Institute-Designated Cancer Centers Compared with Top Internet Search Results
CONCLUSIONS: Patient education materials on breast cancer from both NCI-DCC and top Internet search results were written several reading grade levels higher than the NIH recommendation. Materials should be revised to enhance patient comprehension of breast cancer surgical treatment and guide patients in this important decision-making process to ultimately improve health outcomes.PMID:37707665 | DOI:10.1245/s10434-023-14279-5
Source: Ann Oncol - September 14, 2023 Category: Cancer & Oncology Authors: Anna Rauzi Lauren E Powell McKenzie White Saranya Prathibha Jane Yuet Ching Hui Source Type: research

Bladder Cancer and Google Trends: Associations Between US Search Patterns and Disease Outcomes May Show Need for Improved Awareness Strategies
AbstractInterest in and awareness of bladder cancer may translate to better health-seeking behaviors and earlier detection, given modifiable risk factors such as smoking. We assessed bladder cancer interest in the USA over the past 15  years as reflected by Internet search trends, and correlated these trends with epidemiologic patterns in bladder cancer. Google Trends was used to estimate US bladder cancer interest in the unit search volume index (SVI), which estimates the volume of online search activity for a specified period relative to the highest volume of searches within a specified location. Between January 2004 an...
Source: Journal of Cancer Education - April 4, 2020 Category: Cancer & Oncology Source Type: research

Analysis of the Filipinos' Interest in Searching Online for Oral Cancer.
CONCLUSION: Health-seeking behavior through search trends show an increased interest in oral cancer in 2019 and during February. Search interests will fluctuate in 2020, but at the end of the year will decrease for mouth cancer and tongue cancer, will increase for lip cancer, and will remain steady for gum cancer. PMID: 32334480 [PubMed - in process]
Source: Asian Pacific Journal of Cancer Prevention - April 28, 2020 Category: Cancer & Oncology Tags: Asian Pac J Cancer Prev Source Type: research

Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube
CONCLUSIONS: We demonstrated a retrieval technique to improve recall and minimize precision loss, which can be extended to various health topics on YouTube, a popular video-sharing social media platform. We discussed how health communication scholars can apply the technique to inspect the performance of the retrieval strategy before investing human coding resources and outlined suggestions on how such a technique can be extended to other health contexts.PMID:36040760 | DOI:10.2196/37862
Source: Cancer Control - August 30, 2022 Category: Cancer & Oncology Authors: Chau Tong Drew Margolin Rumi Chunara Jeff Niederdeppe Teairah Taylor Natalie Dunbar Andy J King Source Type: research

A Meta-Analysis of the Efficacy of Pomalidomide-Based Regimens for the Treatment of Relapsed/Refractory Multiple Myeloma After Lenalidomide Exposure
CONCLUSION: Pomalidomide-based combination regimens were effective in patients with RRMM previously treated with lenalidomide and tended to be associated with better outcomes when used earlier in the treatment pathway. A drug class switch may not always be necessary when making treatment decisions for patients with RRMM for whom the benefits of lenalidomide have been exhausted, although this must be supported by comparative studies.PMID:37684184 | DOI:10.1016/j.clml.2023.07.010
Source: Clinical Lymphoma and Myeloma - September 8, 2023 Category: Cancer & Oncology Authors: Faith E Davies Xavier Leleu Prisca Vogel Sujith Dhanasiri Pauline Le Nouveau Katja Weisel Source Type: research

Cancer-Related Search for Meaning Increases Willingness to Participate in Mindfulness-Based Stress Reduction
Conclusion. Our study indicates that patients searching for meaning are receptive to MBSR. Nonwhite patients and those experiencing high levels of anxiety are most likely to endorse a search for meaning. Future research is needed to understand how best to support patients who are searching for meaning and remove barriers to evidence-based programs like MBSR.
Source: Integrative Cancer Therapies - April 13, 2015 Category: Cancer & Oncology Authors: Garland, S. N., Stainken, C., Ahluwalia, K., Vapiwala, N., Mao, J. J. Tags: Articles Source Type: research

Screening for Pancreatic Adenocarcinoma Using Signals From Web Search Logs: Feasibility Study and Results FOCUS ON QUALITY
Conclusion: Signals in search logs show the possibilities of predicting a forthcoming diagnosis of pancreatic adenocarcinoma from combinations of subtle temporal signals revealed in the queries of searchers.
Source: Journal of Oncology Practice - August 9, 2016 Category: Cancer & Oncology Authors: Paparrizos, J., White, R. W., Horvitz, E. Tags: Information systems, Epidemiology, Diagnosis & Staging FOCUS ON QUALITY Source Type: research