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Machine learning to predict occult metastatic lymph nodes along the recurrent laryngeal nerves in thoracic esophageal squamous cell carcinoma.
In BMC cancer
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Zhang Yiliang, Zhang Longfu, Li Bin, Ye Ting, Zhang Yang, Yu Yongfu, Ma Yuan, Sun Yihua, Xiang Jiaqing, Li Yike, Chen Haiquan
2023-Mar-02
Esophageal squamous cell carcinoma, Lymph node metastasis, Machine learning, Recurrent laryngeal nerve

Prediction and early warning model of mixed exposure to air pollution and meteorological factors on death of respiratory diseases based on machine learning.
In Environmental science and pollution research international
Sun HongYing, Chen SiYi, Li XinYi, Cheng LiPing, Luo YiPei, Xie LingLi
2023-Mar-03
DLNM, Forecast and early warning model, Machine learning methods, Respiratory diseases, SVM, XGBoost

Integrated machine learning-based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches.
In Environmental science and pollution research international
Abu El-Magd Sherif Ahmed, Ismael Ismael S, El-Sabri Mohamed A Sh, Abdo Mohamed Sayed, Farhat Hassan I
2023-Mar-03
Egypt, Machine learning model (ML), SVM, SVM-WQI, WQI
Developing and validating a machine learning ensemble model to predict postoperative delirium in a cohort of high-risk surgical patients: A secondary cohort analysis.
In European journal of anaesthesiology
BACKGROUND :
OBJECTIVE :
DESIGN :
SETTING :
PATIENTS :
MAIN OUTCOME MEASURE :
RESULTS :
CONCLUSION :
TRIAL REGISTRATION :
Neto Paulo C S, Rodrigues Attila L, Stahlschmidt Adriene, Helal Lucas, Stefani Luciana C
2023-Mar-02

Evaluation of Endoscopic Response Using Deep Neural Network in Esophageal Cancer Patients Who Received Neoadjuvant Chemotherapy.
In Annals of surgical oncology ; h5-index 71.0
BACKGROUND :
METHOD :
RESULTS :
CONCLUSION :
Matsuda Satoru, Irino Tomoyuki, Kawakubo Hirofumi, Takeuchi Masashi, Nishimura Erika, Hisaoka Kazuhiko, Sano Junichi, Kobayashi Ryota, Fukuda Kazumasa, Nakamura Rieko, Takeuchi Hiroya, Kitagawa Yuko
2023-Mar-02

Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends.
In Analytical and bioanalytical chemistry
Dos Santos Diego P, Sena Marcelo M, Almeida Mariana R, Mazali Italo O, Olivieri Alejandro C, Villa Javier E L
2023-Mar-03
Data analysis, Nanomaterials, PCA, Plasmonics, Supervised methods, Vibrational spectroscopy
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