Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
Topical treatment for plantar warts: A systematic review
S García‐Oreja, FJ Álvaro‐Afonso… - Dermatologic …, 2021 - Wiley Online Library
There are a wide variety of treatments for plantar warts, but none has been shown to be
effective in all patients. We aimed to perform a systematic review of the efficacy of different …
effective in all patients. We aimed to perform a systematic review of the efficacy of different …
Komparasi Metode K-Nearest Neighbor dan Random Forest Dalam Prediksi Akurasi Klasifikasi Pengobatan Penyakit Kutil
U Erdiansyah, AI Lubis… - Jurnal Media …, 2022 - ejurnal.stmik-budidarma.ac.id
Warts are a skin health problem, usually characterized by small, rough bumps on the surface
of the skin caused by a virus, known as the human papillomavirus (HPV). The common way …
of the skin caused by a virus, known as the human papillomavirus (HPV). The common way …
[HTML][HTML] Risk prediction of cardiovascular disease using machine learning classifiers
Cardiovascular disease (CVD) makes our heart and blood vessels dysfunctional and often
leads to death or physical paralysis. Therefore, early and automatic detection of CVD can …
leads to death or physical paralysis. Therefore, early and automatic detection of CVD can …
Komparasi Algoritma Random Forest dan Decision Tree untuk Memprediksi Keberhasilan Immunotheraphy
FY Pamuji, VP Ramadhan - Jurnal Teknologi dan Manajemen …, 2021 - jurnal.unmer.ac.id
Menjaga kesehatan merupakan tugas pada diri kita sendiri sebagai manusia, dengan tubuh
yang sehat kita dapat melakukan aktifitas dan produktifitas kita sehari-hari. Kesehatan …
yang sehat kita dapat melakukan aktifitas dan produktifitas kita sehari-hari. Kesehatan …
A Path to Simpler Models Starts With Noise
L Semenova, H Chen, R Parr… - Advances in Neural …, 2024 - proceedings.neurips.cc
The Rashomon set is the set of models that perform approximately equally well on a given
dataset, and the Rashomon ratio is the fraction of all models in a given hypothesis space …
dataset, and the Rashomon ratio is the fraction of all models in a given hypothesis space …
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment
Wart disease (WD) is a skin illness on the human body which is caused by the human
papillomavirus (HPV). This study mainly concentrates on common and plantar warts. There …
papillomavirus (HPV). This study mainly concentrates on common and plantar warts. There …
[HTML][HTML] Fractional norms and quasinorms do not help to overcome the curse of dimensionality
The curse of dimensionality causes the well-known and widely discussed problems for
machine learning methods. There is a hypothesis that using the Manhattan distance and …
machine learning methods. There is a hypothesis that using the Manhattan distance and …
Intralesional immunotherapy for the treatment of warts: A network meta-analysis
S Salman, MS Ahmed, AM Ibrahim, OM Mattar… - Journal of the American …, 2019 - Elsevier
Background Without clear evidence, selecting among the existing immunotherapeutic
options for warts remains challenging. Objective Through network meta-analyses, we aimed …
options for warts remains challenging. Objective Through network meta-analyses, we aimed …
[HTML][HTML] Missing values imputation using fuzzy k-top matching value
Missing data occurs when variables or observations are missing. Researchers exclude or
impute influenced variables and data. This study proposes Fuzzy K-Top Matching Value …
impute influenced variables and data. This study proposes Fuzzy K-Top Matching Value …