Results 41 to 50 of about 12,774 (258)

Sentiment Analysis Mobile JKN Reviews Using SMOTE Based LSTM

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
The JKN Mobile application plays an important role in providing easy and fast access to health services for JKN-KIS users. However, user reviews indicate dissatisfaction with several aspects of the application, such as login issues and OTP codes, which ...
Ghufron Tamami, Wiwit Agus Triyanto, Syafiul Muzid   +2 more
doaj   +1 more source

Comparison of Sampling Techniques for Imbalanced Data Classification

วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2018
Imbalanced data is a problem in the machine learning process for data classification, which results in low classification efficiency. It has also been found that random sampling techniques are used in several ways for solving low performance problems due
Karn Nasritha, Kittisak Kerdprasop, Nittaya Kerdprasop   +2 more
doaj   +1 more source

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

Annals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono, Hiroaki Sekiya, Alexia R. Maier, Neill R. Graff‐Radford, Zbigniew K. Wszolek, Dennis W. Dickson   +5 more
wiley   +1 more source

Evaluating the performance of different machine learning algorithms based on SMOTE in predicting musculoskeletal disorders in elementary school students

BMC Medical Research Methodology
Background Musculoskeletal disorders (MSDs) are a major health concern for children. Traditional assessment methods, which are based on subjective assessments, may be inaccurate.
Sara Manoochehri, Maryam Zamani, Maryam Afshari, Ali Reza Soltanian, Zohreh Manoochehri   +4 more
doaj   +1 more source

SMOTE-SVM for Handling Imbalanced Data in Obesity Classification

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Obesity is a significant health issue associated with various chronic diseases, making its early classification critical for effective interventions.
Muhammad Kunta Biddinika, Herman Yuliansyah, Dewi Soyusiawaty, Farhan Radhiansyah Razak   +3 more
doaj   +1 more source

Skeletal pathologies in extant crocodilians as a window into the paleopathology of fossil archosaurs

The Anatomical Record, EarlyView.
Abstract Crocodilians, together with birds, are the only extant relatives to many extinct archosaur groups, making them highly important for interpreting paleopathological conditions in a phylogenetic disease bracketing model. Despite this, comprehensive data on osteopathologies in crocodilians remain scarce.
Alexis Cornille, Kyla Beguesse, Ewan Wolff, Clemens Zinner, Patrick Asbach, François Clarac, Florian Witzmann   +6 more
wiley   +1 more source

Penerapan: Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian

Computer Science
Ujaran kebencian adalah penyebaran kebencian terhadap individu atau kelompok atas dasar suku, agama, ras, dan karakteristik lain yang dapat menimbulkan diskriminasi, kekerasan, dan konflik sosial.
Ridwan Ridwan, Eni Heni Hermaliani, Muji Ernawati   +2 more
doaj   +1 more source

Characterization of the extracellular matrix from human and dog umbilical cords

The Anatomical Record, EarlyView.
Abstract The extracellular matrix is important for maintaining tissue morphogenesis and homeostasis; it can also be used as a biomaterial for the production of biological scaffolds. Particularly, the umbilical cord has shown potential in the production of scaffolds for small‐diameter vessels.
Ana Carla Mendonça, Roberta Losi Guembarovski, Carlos Alberto Miqueloto, Alda Fiorina Maria Losi Guembarovski, Caio Garcia Barbosa da Silva, Laís Capelasso Lucas Pinheiro, Phelipe Oliveira Favaron   +6 more
wiley   +1 more source

Explainable Ensemble Learning Framework with SMOTE, SHAP and LIME for Predicting 30-Day Readmission in Diabetic Patients

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Hospital readmission among diabetic patients poses a significant burden on healthcare systems due to its frequency and associated costs. This study presents a machine learning framework for predicting 30-day readmission in diabetic patients using the ...
Joshua Pinem, Widi Astuti, Adiwijaya
doaj   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source