S
Sansanee Auephanwiriyakul
Researcher at Chiang Mai University
Publications - 122
Citations - 1480
Sansanee Auephanwiriyakul is an academic researcher from Chiang Mai University. The author has contributed to research in topics: Fuzzy logic & Fuzzy set. The author has an hindex of 17, co-authored 115 publications receiving 1283 citations. Previous affiliations of Sansanee Auephanwiriyakul include Naresuan University & University of Missouri.
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Collaborative residual learners for automatic icd10 prediction using prescribed medications.
Yassien Shaalan,Alexander Dokumentov,Piyapong Khumrin,Krit Khwanngern,Anawat Wisetborisu,Thanakom Hatsadeang,Nattapat Karaket,Witthawin Achariyaviriya,Sansanee Auephanwiriyakul,Nipon Theera-Umpon,Terence Siganakis +10 more
TL;DR: In this article, a collaborative residual learning based model was proposed to automatically predict ICD10 codes employing only prescriptions data, which achieved a multi-label classification accuracy of 0.71 and 0.57 of average precision, 0.38 of F1-score and 1.44 of accuracy in predicting principal diagnosis for inpatient and outpatient datasets respectively.
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Ensemble model for pre-discharge icd10 coding prediction.
Yassien Shaalan,Alexander Dokumentov,Piyapong Khumrin,Krit Khwanngern,Anawat Wisetborisu,Thanakom Hatsadeang,Nattapat Karaket,Witthawin Achariyaviriya,Sansanee Auephanwiriyakul,Nipon Theera-Umpon,Terence Siganakis +10 more
TL;DR: In this article, an ensemble model incorporating multiple clinical data sources for accurate code predictions is proposed, and an assessment mechanism is proposed to provide confidence rates in predicted outcomes in order to translate medical diagnosis to clinical coding.
Proceedings ArticleDOI
A linguistic K-nearest prototype with an application to management surveys
TL;DR: This paper developed a linguistic K-nearest prototype algorithm with vectors of fuzzy numbers as inputs based on the extension principle and the decomposition theorem and applies this algorithm to linguistic vectors derived from a set of thirty-nine subjects answering questions about students' satisfaction with communication to their university.
Proceedings Article
3D missing point estimation using fuzzy support vector regression
TL;DR: An automatic method to estimate missing points in a Cartesian coordinate system using fuzzy support vector regression (FSVR) is introduced and the results show that the FSVR is a suitable method in missing 3D coordinates estimation.
Proceedings ArticleDOI
Controlling Membership Spread in Type-2 Fuzzy Clustering
TL;DR: This paper devise three dampening approaches to mitigate the problem of membership spread in the iterative type-2 fuzzy clustering algorithm and control the uncertainty not to grow rapidly, and in fact, aid in convergence.