A Sophisticated Onscreen Smart Framework for Predicting Diabetes in Remote Healthcare.

Koteeswaran Seerangan, Premalatha Gunasekaran, Nithya Rekha Sivakumar, Resmi Ravi Nair, Malarvizhi Nandagopal, Neeba Eralil Abi, Nalini Manogaran

Abstract read

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In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Koteeswaran SeeranganDepartment of Computer Science and Engineering, R.M.K. Engineering College (Autonomous), Chennai 601206, Tamil Nadu, India.

Premalatha GunasekaranDepartment of Data Science and Business Systems, School of Computing, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India.ORCID 0000-0003-1031-5607

Nithya Rekha SivakumarDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University (PNU), P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-2856-1657

Resmi Ravi NairDepartment of Computer Science and Engineering, Saveetha Engineering College (Autonomous), Chennai 602105, Tamil Nadu, India.ORCID 0000-0003-3733-0487

Malarvizhi NandagopalDepartment of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, Tamil Nadu, India.ORCID 0000-0001-7916-6668

Neeba Eralil AbiDepartment of Computer Science and Engineering, Alliance University, Bengaluru 562106, Karnataka, India.ORCID 0000-0003-3099-191X

Nalini ManogaranDepartment of Computer Science and Engineering (Cyber Security), S.A. Engineering College (Autonomous), Chennai 600077, Tamil Nadu, India.

Funding

Princess Nourah bint Abdulrahman University PNURSP2025R194

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial Intelligence (AI)Brass Optimized Learning-based Diabetes Prediction (BOLD)Brassy Pelican Optimization (BPO)classificationDeep Learning (DL)Deer Hunting Optimization (DHO)diabetes predictionRecurrent Neural Network—Long Short Term Memory (LSTM)remote healthcare

Identifiers

PMID41750681

DOI10.3390/diagnostics16040532

PMCPMC12940048

What Socratic holds

Textmetadata

LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.