## 3 Methodology
### iForest Outlier Detection
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* (18) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] State Estimation Scheme for Multiple RF Tags with an Angled Single Antenna. In Proceedings of the 2022 IEEE International Conference on RFID (RFID), Las Vegas, NV, USA, 17 May 2022; IEEE: Piscataway, NJ, USA, 2022; pp. 64-69. * (19) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Type 2 Diabetes Risk Forecasting from EMR Data Using Machine Learning. _AMIA Annu. Symp. Proc. AMIA Symp._**2012**, _2012_, 606-615. * (20) [PERSON]; [PERSON]; [PERSON]; [PERSON] Single Nucleotide Polymorphism Relevance Learning with Random Forests for Type 2 Diabetes Risk Prediction. _Artif. Intell. Med._**2018**, _85_, 43-49. [CrossRef]
* (21) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Predicting Changes in Hypertension Control Using Electronic Health Records from a Chronic Disease Management Program. _J. Am. Med. Inform. Assoc._**2014**, _21_, 337-344. [CrossRef]
* (22) [PERSON]; [PERSON]; [PERSON] A Random Forest Based Predictor for Medical Data Classification Using Feature Ranking. _Inform. Med. Unlocked_**2019**, _15_, 100180. [CrossRef]
* (23) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Application of Machine Learning Techniques to Predict a Patient's No-Show in the Healthcare Sector. _Future Internet_**2021**, _14_, 3. [CrossRef]
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