Differentiating between obstructive and non‐obstructive azoospermia: A machine learning‐based approach by Abdolreza Haghpanah, Nazanin Ayareh, Ashkan Akbarzadeh, Dariush Irani, Fatemeh Hosseini, Farid Sabahi Moghadam, Mohammad Ali Sadighi Gilani, Iman Shamohammadi

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Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

“…The review presents an analysis of publications on use of machine learning (ML) to assess the pretest probability of obstructive and non-obstructive coronary artery disease (CAD). …”
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Intercostal Nerve Block in Patient with Chronic Obstructive Pulmonary Disease: Lessons Learned by Rhythm Mathur, Bharat Paliwal, Manoj Kamal, Pradeep Kumar Bhatia

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Performance of machine learning-based models to screen obstructive sleep apnea in pregnancy by Jingyu Wang, Wenhan Xiao, Haoyang Hong, Chi Zhang, Min Yu, Liyue Xu, Jun Wei, Jingjing Yang, Yanan Liu, Huijie Yi, Linyan Zhang, Rui Bai, Bing Zhou, Long Zhao, Xueli Zhang, Xiaozhi Wang, Xiaosong Dong, Guoli Liu, Shenda Hong

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Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea by Daniele Padovano, Arturo Martinez-Rodrigo, José M. Pastor, José J. Rieta, Raul Alcaraz

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Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review by Matheus Lima Diniz Araujo, Trevor Winger, Samer Ghosn, Carl Saab, Jaideep Srivastava, Louis Kazaglis, Piyush Mathur, Reena Mehra

“…Background: Obstructive sleep apnea (OSA) is a prevalent and potentially severe sleep disorder characterized by repeated interruptions in breathing during sleep. …”
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Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques by Hong Xiao, Yi-lang Ding, Chao Wang, Peng Yang, Qiang Chen, Hao-nan He, Ruijie Yao, Hai-lin Huang, Xi Chen, Mao-yuan Wang, Song-xi Tang, Hui-liang Zhou

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Attention-Based Transfer Learning for Efficient Obstructive Sleep Apnea (OSA) Classification on Snore Sound by Apichada Sillaparaya, Yuttapong Jiraraksopakun, Kosin Chamnongthai, Apichai Bhatranand

Subjects: “…Obstructive sleep apnea (OSA)…”
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NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING by Reehana SHAIK, Ibrahim SIDDIQUE

“…The authors propose a Novel architecture in the basis of Encoder Decoder structure named as Obstructive Encoder Decoder module. This module extracts the specific features and the proposed novel Obstructive Erasing Module remove the remaining artifacts and then the extracted features are fed into the Multi-Uni-Net for the fusion of the two modalities and the fused image is classified using EXplainable Machine Learning (EX-ML). …”
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Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review by Sara Haghighat, Muhammed Joghatayi, Julien Issa, Sarina Azimian, Janet Brinz, Ali Ashkan, Akhilanand Chaurasia, Zahra Rahimian, Linda Sangalli

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AI-Driven Detection of Obstructive Sleep Apnea Using Dual-Branch CNN and Machine Learning Models by Manjur Kolhar, Manahil Muhammad Alfridan, Rayan A. Siraj

Subjects: “…obstructive sleep apnea (OSA)…”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

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Machine Learning–Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study by Pinjie Huang, Jirong Yang, Dizhou Zhao, Taojia Ran, Yuheng Luo, Dong Yang, Xueqin Zheng, Shaoli Zhou, Chaojin Chen

“…ObjectiveThis study aimed to construct an online risk calculator for early postoperative complications in patients after intestinal obstruction surgery based on machine learning algorithms. …”
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A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data by Zhou Hao Leong, Shaun Ray Han Loh, Leong Chai Leow, Thun How Ong, Song Tar Toh

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Developing an interpretable machine learning predictive model of chronic obstructive pulmonary disease by serum PFAS concentration by Xiaomei Shao, Ling Zhang, Yuting Wang, Youmei Ying, Xueqin Chen

Subjects: “…chronic obstructive pulmonary disease…”
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Machine learning model based on survey assessment of sleep quality in chronic obstructive pulmonary disease patients. by Miraç Öz, Banu Eriş Gülbay, Barış Bulut, Elif Akıncı Aydınlı, Aslıhan Gürün Kaya, Öznur Yıldız, Turan Acıcan, Sevgi Saryal

“…<h4>Purpose</h4>The aim is to develop a learning model based on clinical and survey data to assess sleep quality and identify determining factors affecting sleep quality in chronic obstructive pulmonary disease (COPD) patients.…”
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Low-carbohydrate diet score and chronic obstructive pulmonary disease: a machine learning analysis of NHANES data by Xin Zhang, Jipeng Mo, Kaiyu Yang, Tiewu Tan, Cuiping Zhao, Hui Qin

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Identification of telomere maintenance related biomarkers and regulatory mechanisms in chronic obstructive pulmonary disease by machine learning algorithm by Haiyan Cao, Xiangjian Chu

Subjects: “…Chronic obstructive pulmonary disease…”
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Postoperative Apnea‐Hypopnea Index Prediction of Velopharyngeal Surgery Based on Machine Learning by Jingyuan You, Juan Li, Yingqian Zhou, Xin Cao, Chunmei Zhao, Yuhuan Zhang, Jingying Ye

Subjects: “…machine learning…”
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Lightweight and Low-Parametric Network for Hardware Inference of Obstructive Sleep Apnea by Tanmoy Paul, Omiya Hassan, Christina S. McCrae, Syed Kamrul Islam, Abu Saleh Mohammad Mosa

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