PMID- 38524804
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240326
IS  - 2047-2501 (Print)
IS  - 2047-2501 (Electronic)
IS  - 2047-2501 (Linking)
VI  - 12
IP  - 1
DP  - 2024 Dec
TI  - A drug prescription recommendation system based on novel DIAKID ontology and 
      extensive semantic rules.
PG  - 27
LID - 10.1007/s13755-024-00286-7 [doi]
LID - 27
AB  - According to the World Health Organization (WHO) data from 2000 to 2019, the 
      number of people living with Diabetes Mellitus and Chronic Kidney Disease (CKD) 
      is increasing rapidly. It is observed that Diabetes Mellitus increased by 70% and 
      ranked in the top 10 among all causes of death, while the rate of those who died 
      from CKD increased by 63% and rose from the 13th place to the 10th place. In this 
      work, we combined the drug dose prediction model, drug-drug interaction warnings 
      and drugs that potassium raising (K-raising) warnings to create a novel and 
      effective ontology-based assistive prescription recommendation system for 
      patients having both Type-2 Diabetes Mellitus (T2DM) and CKD. Although there are 
      several computational solutions that use ontology-based systems for treatment 
      plans for these type of diseases, none of them combine information analysis and 
      treatment plans prediction for T2DM and CKD. The proposed method is novel: (1) We 
      develop a new drug-drug interaction model and drug dose ontology called DIAKID 
      (for drugs of T2DM and CKD). (2) Using comprehensive Semantic Web Rule Language 
      (SWRL) rules, we automatically extract the correct drug dose, K-raising drugs, 
      and drug-drug interaction warnings based on the Glomerular Filtration Rate (GFR) 
      value of T2DM and CKD patients. The proposed work achieves very competitive 
      results, and this is the first time such a study conducted on both diseases. The 
      proposed system will guide clinicians in preparing prescriptions by giving 
      necessary warnings about drug-drug interactions and doses.
CI  - (c) The Author(s) 2024.
FAU - Gogebakan, Kadime
AU  - Gogebakan K
AUID- ORCID: 0000-0002-2584-9647
AD  - Directorate of Information Technologies, Istanbul Technical University, North 
      Cyprus via Mersin 10, Famagusta, Turkey. ROR: https://ror.org/059636586. GRID: 
      grid.10516.33. ISNI: 0000 0001 2174 543X
FAU - Ulu, Ramazan
AU  - Ulu R
AUID- ORCID: 0000-0003-1461-2764
AD  - Department of Nephrology, School of Medicine, Adiyaman University, Adiyaman, 
      Turkey. ROR: https://ror.org/02s4gkg68. GRID: grid.411126.1. ISNI: 0000 0004 0369 
      5557
FAU - Abiyev, Rahib
AU  - Abiyev R
AUID- ORCID: 0000-0002-3085-6219
AD  - Computer Engineering Department, Near East University, North Cyprus via Mersin 
      10, Nicosia, Turkey. GRID: grid.412132.7. ISNI: 0000 0004 0596 0713
FAU - Sah, Melike
AU  - Sah M
AUID- ORCID: 0000-0003-3869-7205
AD  - Computer Engineering Department, Cyprus International University, North Cyprus 
      via Mersin 10, Nicosia, Turkey. ROR: https://ror.org/04mk5mk38. GRID: 
      grid.440833.8. ISNI: 0000 0004 0642 9705
LA  - eng
SI  - Dryad/10.5061/dryad.br52k
PT  - Journal Article
DEP - 20240323
PL  - England
TA  - Health Inf Sci Syst
JT  - Health information science and systems
JID - 101638060
PMC - PMC10960787
OTO - NOTNLM
OT  - Chronic kidney disease
OT  - DDIs
OT  - Drug doses
OT  - Electronic health records
OT  - K-raising
OT  - Medicine
OT  - Ontology
OT  - SWRL
OT  - Type 2 Diabetes Mellitus
OT  - eGFR
COIS- Competing interestsThe authors have no relevant financial or non-financial 
      interests to disclose.
EDAT- 2024/03/25 06:42
MHDA- 2024/03/25 06:43
PMCR- 2024/03/23
CRDT- 2024/03/25 04:32
PHST- 2023/04/10 00:00 [received]
PHST- 2024/02/28 00:00 [accepted]
PHST- 2024/03/25 06:43 [medline]
PHST- 2024/03/25 06:42 [pubmed]
PHST- 2024/03/25 04:32 [entrez]
PHST- 2024/03/23 00:00 [pmc-release]
AID - 286 [pii]
AID - 10.1007/s13755-024-00286-7 [doi]
PST - epublish
SO  - Health Inf Sci Syst. 2024 Mar 23;12(1):27. doi: 10.1007/s13755-024-00286-7. 
      eCollection 2024 Dec.