WCN25-4420 PREDICTING DRY WEIGHT IN HEMODIALYSIS PATIENTS USING DEEP LEARNING TECHNIQUES

interest were South Dakota (100), Alabama (100), Tennessee (100), Mississippi (97), and West Virginia (92).In contrast, lowest interest was observed in New Jersey (57), Oregon (57), Utah (56), Colorado (53), and District of Columbia (43) (Figure 1C).Conclusions: This study highlights significantly steady increase in public interest in chronic kidney disease, both globally and within the United States.These findings also indicate regional health disparities, higher disease prevalence, lack of healthcare access, and lower digital knowledge.Even though, understanding these trends is crucial for identifying areas where public awareness is lacking, which in turn can help to tailor and target preventive and treatment strategies more effectively.Public health campaigns should focus on these key areas, utilizing digital platforms and ensuring accessible, readable information for all populations.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.

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Publication Details

Journal
Kidney International Reports
Published
2025-01-27
DOI
https://doi.org/10.1016/j.ekir.2024.11.188
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

WCN25-4420 PREDICTING DRY WEIGHT IN HEMODIALYSIS PATIENTS USING DEEP LEARNING TECHNIQUES

Anand Chellappan, Poonam Sharma, Abhishek Singh, Abhinav Konkal
Kidney International Reports
Artificial Intelligence in Healthcare
article

WCN25-4420 PREDICTING DRY WEIGHT IN HEMODIALYSIS PATIENTS USING DEEP LEARNING TECHNIQUES

Anand Chellappan, Poonam Sharma, Abhishek Singh, Abhinav Konkal
article en

Abstract

interest were South Dakota (100), Alabama (100), Tennessee (100), Mississippi (97), and West Virginia (92).In contrast, lowest interest was observed in New Jersey (57), Oregon (57), Utah (56), Colorado (53), and District of Columbia (43) (Figure 1C).Conclusions: This study highlights significantly steady increase in public interest in chronic kidney disease, both globally and within the United States.These findings also indicate regional health disparities, higher disease prevalence, lack of healthcare access, and lower digital knowledge.Even though, understanding these trends is crucial for identifying areas where public awareness is lacking, which in turn can help to tailor and target preventive and treatment strategies more effectively.Public health campaigns should focus on these key areas, utilizing digital platforms and ensuring accessible, readable information for all populations.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.

Kidney International ReportsVol. 10(2)
Visvesvaraya National Institute of Technology (IN), Government Medical College (IN), Nagpur Institute of Technology (IN), Central India Institute of Medical Sciences (IN), All India Institute of Medical Sciences, Nagpur (IN)
Openalex Percentile: Top 99%
Artificial Intelligence in Healthcare
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