Publication2024
Leveraging Machine Learning and Patient Reviews for Developing a Drug Recommendation System to Reduce Medical Errors
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- International — held abroad
- Journal
- Open Bioinformatics Journal
- Volume
- 17
- Published
- 1 January 2024
- DOI
- 10.2174/0118750362291402240621044046
- Scopus ID
- 85197885329
- ISSN
- 18750362
- Authors
- 7
- Open access
- Yes
- Citations
- 10
- International co-authorship
- Yes
- Co-author countries
- IN, SA
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.b Support research and development of vaccines and medicines, and provide access to affordable essential medicines
Machine learning and natural language processing drug recommendation system analyzes patient reviews and drug utilization patterns for improved pharmaceutical safety and efficacy
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
AI-based drug efficacy prediction model develops advanced data analytics methodology for pharmaceutical research and healthcare decision support systems
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Healthcare AI application improves drug safety outcomes through data-driven analysis reducing medication errors and adverse drug reactions
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Leveraging Machine Learning and Patient Reviews for Developing a Drug Recommendation System to Reduce Medical Errors”. Kortex.