Jonas Hügel
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View article: Developing a Spatiotemporal Repository of Extreme Heat and Cold Exposure in the United States for Precision Public Health Research
Developing a Spatiotemporal Repository of Extreme Heat and Cold Exposure in the United States for Precision Public Health Research Open
Accurate attribution of the areas and populations impacted by climate-related events often relies on linear distance-based methods, where the study unit is assigned temperature data to the closest weather station. We developed a novel meth…
View article: Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data
Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data Open
Background: Artificial intelligence (AI) models in healthcare depend on the fidelity of diagnostic data, yet the quality of such data is often compromised by variability in clinical documentation practices. In dementia, a condition already…
View article: Temporal Learning with Dynamic Range (TLDR) for Modeling Recurrent Exposure and Treatment Outcomes
Temporal Learning with Dynamic Range (TLDR) for Modeling Recurrent Exposure and Treatment Outcomes Open
Background The temporal sequence of clinical events is crucial in outcomes research, yet standard machine learning (ML) approaches often overlook this aspect in electronic health records (EHRs), limiting predictive accuracy. Methods We int…
View article: Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19
Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19 Open
This research was funded by the US National Institute of Allergy and Infectious Diseases (NIAID).
View article: <scp>KRAS<sup>G</sup></scp><sup>12<scp>C</scp></sup>‐inhibitor‐based combination therapies for pancreatic cancer: insights from drug screening
<span>KRAS<sup>G</sup></span><sup>12<span>C</span></sup>‐inhibitor‐based combination therapies for pancreatic cancer: insights from drug screening Open
Pancreatic ductal adenocarcinoma (PDAC) has limited treatment options, emphasizing the urgent need for effective therapies. The predominant driver in PDAC is mutated KRAS proto‐oncogene, KRA , present in 90% of patients. The emergence of d…
View article: A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys
A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys Open
Pancreatic cancer, renowned for its aggressive nature and poor prognosis, necessitates the optimization of treatment strategies. The sequence of procedures in clinical trials is critical, such as evaluating the potential benefits of preope…
View article: Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients
Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients Open
This paper presents a comprehensive workflow for integrating revolving events into the transitive sequential pattern mining (tSPM+) algorithm and Machine Learning for Health Outcomes (MLHO) framework, emphasizing best practices and pitfall…
View article: Precision Phenotyping for Curating Research Cohorts of Patients with Post-Acute Sequelae of COVID-19 (PASC) as a Diagnosis of Exclusion
Precision Phenotyping for Curating Research Cohorts of Patients with Post-Acute Sequelae of COVID-19 (PASC) as a Diagnosis of Exclusion Open
Scalable identification of patients with the post-acute sequelae of COVID-19 (PASC) is challenging due to a lack of reproducible precision phenotyping algorithms and the suboptimal accuracy, demographic biases, and underestimation of the P…
View article: Aspects of Temporal Patient Similarity in Complex Diseases
Aspects of Temporal Patient Similarity in Complex Diseases Open
When comparing patients with complex chronic diseases, such as cancer or Post COVID-19, in Real-World Data (RWD) it is crucial to consider not only their condition at the time point of analysis but also their disease trajectories over time…
View article: tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data Open
The increasing availability of large clinical datasets collected from patients can enable new avenues for computational characterization of complex diseases using different analytic algorithms. One of the promising new methods for extracti…
View article: Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity
Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity Open
Finding similar patients is a common objective in precision medicine, facilitating treatment outcome assessment and clinical decision support. Choosing widely-available patient features and appropriate mathematical methods for similarity c…
View article: Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline
Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline Open
Precision oncology utilizing molecular biomarkers for targeted therapies is one of the hopes to treat cancer. The availability of patient specific molecular profiling through next-generation sequencing, though, increases the amount of avai…
View article: Knowledge bases and software support for variant interpretation in precision oncology
Knowledge bases and software support for variant interpretation in precision oncology Open
View article: Knowledge bases and software support for variant interpretation in precision oncology
Knowledge bases and software support for variant interpretation in precision oncology Open
Precision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer panels are becoming increasingly available at pathology departments worldwide, creating the urgent need for scalable cancer variant annotati…