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Category: HPF-P Framework

Holistic Prediction Framework for Pharmaceutical Portfolios

HPF-P Platform Technical Overview: From Specification to Deployment

Posted on March 3, 2026March 4, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845469  25stabilfr·wdophcgmx
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Score = Ref Trust (18 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

HPF-P is the reference implementation of the Holistic Portfolio Framework (HPF), providing a web-based platform for pharmaceutical portfolio decision support through DRI computation, DRL assignment, and strategy-appropriate optimization. This paper provides a technical overview of HPF-P: its architecture, API design, core algorithms, and deployment configuration. We describe the spec-driven dev...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845469 25stabilfr·wdophcgmx
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[h]Freshness [REQ]13%✗≥60% of references from 2025–2026. Current: 13%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (18 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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Environmental Entropy and Pharma Portfolio Stability: Ukraine Market Analysis

Posted on March 3, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845461  31stabilfr·wdophcgmx
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[a]DOI33%○≥80% have a Digital Object Identifier
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Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)

Portfolio decision quality degrades when environmental entropy — the degree of unpredictability in the market system — exceeds the capacity of available information to characterize it. This paper formalizes the concept of environmental entropy in the context of pharmaceutical portfolio management and demonstrates its impact on Decision Readiness Index (DRI) dimension R5 (temporal stability). We...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845461 31stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted33%○≥80% from verified, high-quality sources
[a]DOI33%○≥80% have a Digital Object Identifier
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[l]Academic33%○≥80% from journals/conferences/preprints
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[w]Words [REQ]1,599✗Minimum 2,000 words for a full research article. Current: 1,599
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18845461
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[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)
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Five-Level Portfolio Optimization: From Abstention to Multi-Objective AI

Posted on March 3, 2026March 5, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845442  34stabilfr·wdophcgmx
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[w]Words [REQ]1,756✗Minimum 2,000 words for a full research article. Current: 1,756
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[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

The Decision Readiness Levels (DRL) framework prescribes one of five optimization strategies for each pharmaceutical portfolio segment, conditioned on that segment's Decision Readiness Index (DRI) score. This paper provides a complete specification of DRL-1 through DRL-5: the conditions under which each level is appropriate, the optimization methods employed at each level, the mathematical form...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845442 34stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted33%○≥80% from verified, high-quality sources
[a]DOI33%○≥80% have a Digital Object Identifier
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[w]Words [REQ]1,756✗Minimum 2,000 words for a full research article. Current: 1,756
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[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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Decision Readiness Index (DRI): Measuring Information Sufficiency for Portfolio Decisions

Posted on March 3, 2026March 11, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845429  34stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
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[w]Words [REQ]1,752✗Minimum 2,000 words for a full research article. Current: 1,752
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18845429
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

Effective pharmaceutical portfolio optimization requires not only capable algorithms but also information of sufficient quality to support those algorithms. This paper provides a formal specification of the Decision Readiness Index (DRI), the core diagnostic component of the Holistic Portfolio Framework (HPF). DRI quantifies information sufficiency across five dimensions — data completeness (R1...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845429 34stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted33%○≥80% from verified, high-quality sources
[a]DOI33%○≥80% have a Digital Object Identifier
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[w]Words [REQ]1,752✗Minimum 2,000 words for a full research article. Current: 1,752
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18845429
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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HPF: A Holistic Framework for Decision-Readiness in Pharmaceutical Portfolio Management

Posted on March 3, 2026 by
Framework Research
Framework Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18845421  31stabilfr·wdophcgmx
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[t]Trusted33%○≥80% from verified, high-quality sources
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[w]Words [REQ]1,493✗Minimum 2,000 words for a full research article. Current: 1,493
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18845421
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)

Pharmaceutical portfolio management operates at the intersection of scientific uncertainty, regulatory complexity, and market volatility. Traditional optimization approaches assume a stable, well-characterized information environment — an assumption that routinely fails in practice, particularly in emerging markets subject to geopolitical disruption. This paper introduces the Holistic Portfolio...

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Framework Research by Oleh Ivchenko DOI: 10.5281/zenodo.18845421 31stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted33%○≥80% from verified, high-quality sources
[a]DOI33%○≥80% have a Digital Object Identifier
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[l]Academic33%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References3 refs○Minimum 10 references required
[w]Words [REQ]1,493✗Minimum 2,000 words for a full research article. Current: 1,493
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18845421
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)
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