Results 151 to 160 of about 13,208 (247)

Artificial Intelligence for Hypertension Risk Prediction and Management: A Systematic Review

Engineering Reports, Volume 8, Issue 8, August 2026.
AI‐based hypertension systems integrate wearable monitoring, clinical records, explainable prediction, lifestyle guidance, medication follow‐up, and early‐warning alerts to support earlier risk detection and personalized management. This systematic review of 40 studies highlights strong predictive potential while emphasizing the need for real‐world ...
Farzana Khanum Oyshi, Nadia Mahzabin, Nanzeeba Ayman, Umme Hafsa Mazumder, Md. Ataur Rahman, Mahady Hasan   +5 more
wiley   +1 more source

Predictive control of earth pressure balance in shield tunneling using a hybrid learning approach. [PDF]

Sci Rep
Wang Q, Zhang Y, Wei D, Meng J.
europepmc   +1 more source

Identifying the Most Important Influencing Factors Based on Demographic Information, Nutrition, Physical Activity, Leisure Time, and Underlying Diseases in the Severity of Disease in COVID‐19 Patients Using Data Mining Techniques

Health Science Reports, Volume 9, Issue 8, August 2026.
ABSTRACT Background and Aims The COVID‐19 pandemic has affected millions of individuals worldwide and resulted in substantial mortality. Data mining and machine learning techniques enable the analysis of comprehensive patient data, facilitating the identification of key patterns and determinants that support clinical and preventive decision‐making ...
Noushin Mohammadifard, Nizal Sarafzadegan, Fahimeh Haghighat Doost, Jamshid Najafian, Mohammad Hossein Rouhani, Gholamreza Askari, Mohammad Sattari   +6 more
wiley   +1 more source

What gets Redditors talking? Predicting discussion initiation and size on Reddit. [PDF]

PLoS One
Lynch C, Livan G.
europepmc   +1 more source

Advanced Machine Learning Techniques for Corporate Bankruptcy Prediction: A Gradient Boosting TreeNet Approach

Intelligent Systems in Accounting, Finance and Management, Volume 33, Issue 3, September 2026.
ABSTRACT This study aims to enhance bankruptcy prediction models by employing the gradient‐boosting TreeNet algorithm. This research assesses the predictive accuracy of TreeNet in bankruptcy classification using a high‐dimensional approach. Specifically, it categorizes bankruptcy as nonbankrupt, Chapter 7, or Chapter 11 categories.
Ali Saeedi
wiley   +1 more source

Using Machine Learning to Analyze the Predictors of Life Satisfaction: Focus on Lifestyle Attitudes and Psychological Factors. [PDF]

Int J Methods Psychiatr Res
Alptekin FB, Torlak E, Asik Ö, Karaaslan B, Turgal E, Burhan HS, Aytac HM, Guclu O.   +7 more
europepmc   +1 more source

SSEL‐CPP: A SHAP‐based feature‐selection ensemble learning framework identifies molecular properties of cell‐penetrating peptides

Protein Science, Volume 35, Issue 8, August 2026.
Abstract Cell‐penetrating peptides (CPPs) facilitate the intracellular delivery of therapeutic molecules. However, their accurate identification and design remain challenging because of the complexity of their structural and physicochemical characteristics.
Chan Woo Kwon, Minjun Kwon, Shaherin Basith, Sampa Misra, Yong Eun Jang, Gwang Lee   +5 more
wiley   +1 more source

Strategic Risk Based Forecasting of Brent Crude Oil Prices: A Comparative Analysis of Econometric and Machine Learning Models. [PDF]

Entropy (Basel)
Yılmaz TE, Zehir C.
europepmc   +1 more source

Integrative Identification of Anti‐Photoaging Peptides From Stress‐Tolerant Microorganisms via Machine Learning and KEAP1–NRF2 Docking

Journal of Peptide Science, Volume 32, Issue 8, August 2026.
Novel short‐chain peptides targeting the KEAP1‐NRF2 axis were identified through a multimodal discovery platform combining a stress‐tolerant microbial library with machine learning and molecular docking. These peptides regulate collagen synthesis and reduce MMP1/9 levels in human fibroblasts, providing significant protection against photoaging ...
Hanui Lee, Gyeong Han Jeong, Ji Wan Choi, Taehwan Kim, Younhee Shin, Jaewon Lim, Kwang‐Woo Jung, Byung Yeoup Chung, Seung Sik Lee   +8 more
wiley   +1 more source

Calibrated and Explainable CIN2+ Risk Stratification Using Routine Clinical Data: Development and External Validation. [PDF]

Int J Womens Health
Wu Y, Wang A.
europepmc   +1 more source