output
20172023
most citedA signature-based machine learning model for bipolar disorder and borderline personality disorder

77 citations

5 papers

physics.flu-dyn2023★ 5 cited

A new flow-based design for double-lumen needles

Radu Cimpeanu, Alfonso A. Castrejon-Pita, Lee Nai Lim +2

Oocyte retrieval forms a crucial part of in vitro fertilisation treatment and its ultimate outcome. Standard double-lumen needles, which include a sequence of aspiration and flushi…

stat.ME2022★ 27 cited

Synthesizing cross-design evidence and cross-format data using network meta-regression

Tasnim Hamza, Konstantina Chalkou, Fabio Pellegrini +9

In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized controlled trials (RCT) o…

q-bio.QM2020★ 2 cited

Lamotrigine Therapy for Bipolar Depression: Analysis of Self-Reported Patient Data

Antoine Nzeyimana, Kate EA Saunders, John R Geddes +1

Background: Depression in people with bipolar disorder is a major cause of long-term disability, possibly leading to early mortality and currently, limited safe and effective thera…

cs.IR2020★ 64 cited

The side effect profile of Clozapine in real world data of three large mental hospitals

Ehtesham Iqbal, Risha Govind, Alvin Romero +8

Objective: Mining the data contained within Electronic Health Records (EHRs) can potentially generate a greater understanding of medication effects in the real world, complementing…

stat.ML2017★ 77 cited

A signature-based machine learning model for bipolar disorder and borderline personality disorder

Imanol Perez Arribas, Kate Saunders, Guy Goodwin +1

Mobile technologies offer opportunities for higher resolution monitoring of health conditions. This opportunity seems of particular promise in psychiatry where diagnoses often rely…