Grant, team, licences, data version
About
This site is a demonstration of how a biomedical text mining model maps correlations between palliative drugs and their side effects in advanced cancer.
Not a clinical decision aid
This site accepts no patient data and gives no recommendations for practice. An uploaded file is deleted the moment processing ends and its contents are never logged; what does persist is a cache keyed by sentence hash holding entity spans, in memory, until the service restarts — so the same document is not processed twice. Its output is material for consideration when drawing up a care plan, not a substitute for clinical judgement. The candidate tier has not been reviewed by an expert and part of it is clinically inverted.
Android app
The app wraps this same site rather than copying it. It loads pallicaremap.id directly every time it opens, so there is no second version to fall behind — anything fixed here is in the app at once, with no update to install.
Download APK · version 1.0.0Android 5.0 and above · requires an internet connection
Installed directly, not through the Play Store. Android asks once for permission to “install unknown apps”, and Play Protect may show a warning. Both are ordinary for a direct install, and the file is signed with a key whose fingerprint is published at /.well-known/assetlinks.json.
The research
- Document number
- PP-25070125481
- Scheme
- Beginner Lecturer Research Grant, Basic Research
- Institution
- Universitas Harapan Bangsa
- Discipline
- Engineering · Electrical Engineering and Informatics · Biomedical Engineering
- Focus area
- Health · Applying AI and health big data
- Final TRL target
- 3 — analytical and experimental proof of concept
- Duration
- 1 year (2026)
- Required output
- An article in a nationally reputable journal indexed in SINTA 1–4, and IP registration for the biomedical text mining model
- Target journal
- Jurnal Berita Ilmu Keperawatan, Universitas Muhammadiyah Surakarta
- Corpus
- 405 palliative oncology articles, 263 passed the relevance filter
- Gold annotations
- 498 of 500 pairs, judged by a clinical pharmacist
What “model” means here
There are no self-trained weight files. What this study develops is the pipeline: the normalisation rules, the term-mapping guards, the sentence-meaning filters, the token-distance threshold, the association scoring, and the translation into nursing output. Entity tagging and dependency parsing use third-party pretrained weights.
A trained relation classifier is scheduled for the next stage of the roadmap (2027, TRL 3–4); the 498-annotation gold standard built this year becomes its test set.
| Model | Licence | Used for |
|---|---|---|
| alvaroalon2/biobert_chemical_ner | Apache-2.0 | Drug entity tagging |
| alvaroalon2/biobert_diseases_ner | Apache-2.0 | Side-effect entity tagging |
| spaCy en_core_web_sm 3.8.0 | MIT | Dependency parsing and negation detection |
Team
| Name | Role | Study programme | Duties | Sinta ID |
|---|---|---|---|---|
| Martyarini Budi SetyawatiNIDN 0618038401 | Principal investigator | Nursing | Leads the study, designs the model, supervises the experiments, and writes the article and the progress and final reports. | 6198530 |
| Etika Dewi CahyaningrumNIDN 0601048602 | Co-investigator | Nursing | Manages the data, designs the model, and writes the Methods section of the article. | 6005849 |
| Iis Setiawan Mangku NegaraNIDN 0616027601 | Co-investigator | Information Technology | Builds and runs the model experiments, and writes the Results section of the article. | 6198371 |
| Rizka KhumaidaNIM 240112015 | Student researcher | Information Systems | Assists with corpus data processing, term normalisation, and research administration. | — |
| Agriby Diandra ChaniagoNIM 240111017 | Student researcher | Informatics | Assists with the drug–side-effect association analysis, the Sankey diagram visualisations, and the drug–side-effect matrix for the nursing output. | — |
National lecturer registration numbers and Sinta IDs are listed so that a reviewer can verify the team against the Sinta database.
Citation
This site is a demonstration, not a publication. Until the article appears, cite the research proposal:
Setyawati, M. B., Cahyaningrum, E. D., Mangku Negara, I. S., Khumaida, R., & Chaniago, A. D. (2026). Pemetaan Korelasi Obat Paliatif dan Efek Samping untuk Perencanaan Asuhan Keperawatan Paliatif Kanker Stadium Lanjut melalui Biomedical Text Mining (Proposal Penelitian Dosen Pemula No. PP-25070125481). Universitas Harapan Bangsa. pallicaremap.id, data v1.0.
The data version is part of the citation because the numbers will change once expert validation is complete.
Data version
- Version
- v1.0
- Built
- 11 August 2026 at 15:36
- Notebook hash
- fdbe541174ca
- Numeric regime
- hasil penelitian = GPU fp16
This site will be updated once expert validation is complete; its version rises with its data.