Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer by Hirotaka Matsumoto, Hiroaki Akamatsu, Nobuyuki Yamamoto, Yuki Sato, Daichi Fujimoto, Yoshihiko Taniguchi, Motohiro Tamiya, Yasuhiro Koh, Junya Fukuoka, Hisashi Tanaka, Naoki Furuya, Ryota Shibaki, Tsukasa Nozawa, Akira Sano, Yuka Kitamura, Takashi Kijima, Toshihide Yokoyama, Satoru Miura, Akito Hata, Jun Sugisaka

“…The primary outcome was the mean area under the curve (AUC) of machine learning models in predicting the 1-year PFS.Results We analyzed 100,544 patches of pathological images from 78 patients. …”
Get full text

Gallbladder Wall Thickness as a Non-Invasive Tool for Prediction of Esophageal Varices in Patients with Hepatitis C Related Chronic Liver Disease by Munir Ahmed, Maliha Aziz, Shahzad Riyaz, Mohammad Salih, Rashed Nazir, Muslim Atiq

“…GBWT at 3.7mm predicted advanced/high-risk varices with a sensitivity of 80.65%, specificity of 75.76%, PPV of 90.36%, NPV of 58.15%, and diagnostic accuracy of 79.37% with AUC of 0.813. …”
Get full text

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

“…This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing from midwife-led continuity care (MLCC). …”
Get full text

GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

Subjects: “…Stock market price prediction…”
Get full text

Optimizing Pile Bearing Capacity Prediction Using Specific Random Forest Models Optimized by Meta-Heuristic Algorithms for Enhanced Geomechanically Applications by Nengyuan Chen

“…To achieve highly accurate predictions of Pile Bearing Capacity (PBC), the study employs a cutting-edge approach featuring Specific Random Forest (RF) prediction models, strategically enhanced with two potent meta-heuristic algorithms: the Snake Optimizer (SO) and the Equilibrium Optimizer (EO). …”
Get full text

Prediction method of S-wave velocities in tight sandstone reservoirs – a case study of CO2 geological storage area in Ordos Basin by Li Lin, Wang Haofan, Ma Jinfeng

“…The shear wave velocity prediction model for this area was then optimized. Moreover, by analyzing actual well logging data, the methodology is validated and it shows high accuracy when using the dominant pore shapes to predict the S-wave velocity. …”
Get full text

Evaluating the predictive potential of RSM and ANN models in treatment of greywater-syrup mixture using Ekowe clay-PEM microbial fuel cell by Livinus A. Obasi, Cornelius O. Nevo

“…A 24 central composite design and a three-layered (4:n:1) feedforward ANN architecture trained by a backpropagation algorithm were used to study and predict the MFC process performance criteria. The ANN gave the best prediction with n = 10 neurons. …”
Get full text

Risk factors analysis and prediction model establishment of acute kidney injury after heart valve replacement in patients with normal renal function by Xiaofan Huang, Xiaofan Huang, Xiangyu Sun, Jiangang Song, Yongqiang Wang, Jindong Liu, Jindong Liu, Yu Zhang, Yu Zhang

Subjects: Get full text

Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models by RN Singh, P. Krishnan, C. Bharadwaj, Sonam Sah, B. Das

“…Abstract Crop health assessment and early yield predictions are highly crucial under biotic stress conditions for crop management and market planning by farmers and policy planners. …”
Get full text

Ability of pulse oximetry-derived indices to predict hypotension after spinal anesthesia for cesarean delivery: A systematic review and meta-analysis. by Yuriko Kondo, Eishin Nakamura, Hisashi Noma, Sayuri Shimizu, Takahisa Goto, Takahiro Mihara

“…Indices, such as the perfusion index (PI) and pleth variability index (PVI), which are derived from pulse oximetry have been used in numerous studies to predict hypotension after spinal anesthesia. However, their predictive abilities remain controversial. …”
Get full text

Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational study. by Guiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne J Gordijn, Kimberley Kavanagh, Paul Murray, Laura A Magee, Henk Groen, Peter von Dadelszen

“…We recommend using the models for consecutive prediction with greater caution and interpreting predictions with increasing uncertainty as the pregnancy progresses. …”
Get full text

System Dynamics Modeling Can be Leveraged to Predict Critical Care Pathways and Costs for End Stage Renal Disease: US Population to 2020 by Luca Fernandez, Christopher Koliba, Asim Zia, Katharine Cheung, Richard Solomon, Christopher Jones

“…Our model predicts that the ESRD patient population will continue to rise, with total prevalence increasing to 829,000 by 2020. …”
Get full text

Role of cognitive impairment in predicting the long-term risk of all-cause mortality: a 20-year prospective cohort study in China by Shuang Zhao, Han Yang, Haijuan Zhao, Miao Miao, Qingqing Wang, Yaru Wang, Yuying Yin, Xin Wang

Get full text

Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

“…Results: Notable regional disparities in under-five mortality were observed across Uttar Pradesh. Predictive accuracies ranged from 76 % to 79.4 %, with the logistic regression model achieving the highest accuracy (79.4 %). …”
Get full text

Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation by Alexander R. Anim-Mensah, Alexander R. Anim-Mensah

“…It also considers membrane swelling (Ls) and compaction (Lc) with the associated Poisson ratio (γ), providing a comprehensive framework for predicting membrane performance. A key feature is the dimensionless parameter β, defined as ln (Ls/Lc), which describes different operational regimes (β < 1, β = 1, β > 1). …”
Get full text

Predictive abilities of acculturation for differences in self-rated health among international medical students from Medical University – Sofia by Joana Simeonova, Angelika Velkova, Lidia Georgieva, Peshka Pesheva, Kristina Popova, Nikolai Hristov, Elia Georgieva, Maria Pravchanska

Get full text

Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

Subjects: “…prediction…”
Get full text

Genomic characterization and molecular predictive biomarkers for chemotherapy in patients with metastatic triple-negative breast cancer treated in a real-world setting by Erik Olsson, Henrik Lindman, Evangelos Digkas, Viktoria Thurfjell, Haidar Mir Ali, Ute Krüger, Anna-Karin Wennstig, Marie Sundqvist, Antonios Valachis

“…Purpose: We aimed to characterize genomic alterations with potential prognostic or predictive significance in patients with metastatic triple-negative breast cancer (mTNBC) treated with chemotherapy in a real-world setting. …”
Get full text

miR-182 promoter hypermethylation predicts the better outcome of AML patients treated with AZA + VEN in a real-world setting by Yilan Xu, Danyang Li, Na Wang, Bei Ge, Chen Meng, Min Zhao, Zihan Lin, Min Li, Yigang Yuan, Yue Cai, Liuzhi Shi, Shenmeng Gao, Haige Ye

“…However, an effective and rapid predictive biomarker to predict treatment outcome remains elusive. …”
Get full text

Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

Subjects: Get full text