Analysis of Determinant Factors of Carbon Efficiency in Indonesia Based on Domestic Waste Management using Causal Machine Learning by Abdul Hakim Zakkiy Fasya, Mursyidul Ibad, Kuuni Ulfah Naila El Muna

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Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges by Christian M. Mulomba, Vogel M. Kiketa, David M. Kutangila, Pescie H. K. Mampuya, Junior N. Mukenze, Landry M. Kasunzi, Kyandoghere Kyamakya, Tasho Tashev, Selain K. Kasereka

Subjects: “…Causal machine learning…”
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Understanding the causal effects and heterogeneity between metabolic syndrome and lung function: a nationwide prospective cohort study in China by Jun Wang, Hai-bin Yu, Si-yuan Lei, Huan-rong Ruan, Xiao-chuan Guo, Jian-sheng Li

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CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction by Linna Wang, Xinyu Guo, Haoyue Shi, Yuehang Ma, Han Bao, Lihua Jiang, Li Zhao, Ziliang Feng, Tao Zhu, Li Lu

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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia by Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel

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Leveraging causality and explainability in digital agriculture by Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos Athanassiou, Gustau Camps-Valls, Charalampos Kontoes, Ioannis N. Athanasiadis

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Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy’s impact on ART adherence by Abraham Keffale Mengistu, Kelemua Aschale Yeneakale, Nebebe Demis Baykemagn, Zelalem Yitayal Melese, Andualem Enyew Gedefaw

Subjects: “…Causal machine learning…”
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Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models by Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh

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Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study by Eleanor Van Vogt, Anthony C. Gordon, Karla Diaz-Ordaz, Suzie Cro

Subjects: “…Causal machine learning…”
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Hybrid forecasting of demand flexibility: A top-down approach for thermostatically controlled loads by Luca Massidda, Marino Marrocu

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A comparative assessment of causal machine learning and traditional methods for enhancing supply chain resiliency and efficiency in the automotive industry by Ishansh Gupta, Adriana Martinez, Sergio Correa, Hendro Wicaksono

Subjects: “…Causal machine learning…”
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