MACHINE LEARNING FOR HEALTHCARE (EIN 815305636) - Form 990 Financial Analysis & Trantor Score

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Financial Vulnerability Assessment (Tuckman-Chang)

4 risk indicators measuring financial stability and operational resilience

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Financial Trends

Organization Details

Formation Year

2017

Legal Domicile

Tax Period

2020-01-01 to 2020-12-31

MACHINE LEARNING FOR HEALTHCARE, founded in 2017, is a micro nonprofit in the Health Care sector that reported $39K in total revenue in fiscal year 2020. Revenue fell 71% from the prior year — a significant decline worth monitoring. The organization ran a surplus of $14K, a strong 36% operating margin.

Mission

MACHINE LEARNING FOR HEALTHCARE (MLHC) IS AN ANNUAL RESEARCH MEETING THAT BRINGS TOGETHER COMPUTATIONAL AND CLINICAL SCIENTISTS TO TURN COMPLEX MEDICAL DATA INTO ACTIONABLE KNOWLEDGE THAT ULTIMATELY IMPROVES PATIENT CARE IN HEALTHCARE. MLHC HAS HELD SUCCESSFUL MEETINGS IN 2017, 2

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Trantor Score

Financial Health Score (300–850) · Liquidity · Solvency · Sustainability · Efficiency

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Liquidity (40%) • Solvency (30%) • Sustainability (20%) • Efficiency (10%)

Financial Overview (2020)

Revenue Breakdown

Contributions & Grants $0

Program Service Revenue $38,625

Investment Income $0

Other Revenue $0

TOTAL REVENUE $38,625

Expense Breakdown

Grants Paid $0

Salaries & Benefits $0

Fundraising Expenses $0

Program Expenses $12,983

Other Expenses $24,833

TOTAL EXPENSES $24,833

Year-over-Year Comparison

	2020	2019	Change
Revenue	$38,625	$134,915	-0.7%
Expenses	$24,833	$89,551	-0.7%
Net Income	$13,792	$45,364	-0.7%

Key Indicators

✗ Grants to Organizations ✗ Grants to Individuals ✗ Lobbying ✗ Political Activity ✗ Foreign Activities ✗ Donor Advised Fund ✗ Schedule B Required

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Financial Health Indicators

Comprehensive financial analysis: Altman Z-Score, liquidity, solvency, sustainability, efficiency, and growth metrics

Financial Distress Indicator

Liquidity & Cash Position

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Altman Z-Score • Liquidity Ratios • Solvency Analysis • Growth Indicators • Efficiency Metrics

Governance

Voting Members

Independent Members

Employees

N/A

Volunteers

Governance Policies

✗ Conflict of Interest Policy

✗ Whistleblower Policy

✗ Document Retention Policy

Special Practices & Reported Activities

✗ Operated a School

✗ Operated a Hospital

✗ Provided First Class Travel

✗ Reported Conflict of Interest

✗ Reported Asset Diversion

✗ Excess Benefit Transaction

✗ Made Political Expenditures

✗ Engaged in Lobbying

✗ Operated Donor Advised Fund

✗ Maintained Art Collections

✗ Filed Form 720

Compensation of Officers, Directors & Key Employees

Total Officers

Total Directors

Key Employees

Highest Compensated

reported

Name	Title	Hours/Week	Role	Reportable Comp	Other Comp	Total
DAVID KALE	OFFICER	4.00	Officer	$0	$0	$0
RAJESH RANGANATH	OFFICER	4.00	Officer	$0	$0	$0
KEN JUNG	OFFICER	4.00	Officer	$0	$0	$0
JENNA WIENS	SECRETARY	4.00	Officer	$0	$0	$0
FINALE DOSHI-VELEZ	PRESIDENT	4.00	Officer	$0	$0	$0
BYRON WALLACE	VICE PRESIDENT	4.00	Officer	$0	$0	$0
JAMES FACKLER	TREASURER	4.00	Officer	$0	$0	$0

Note: Compensation data is self-reported by the organization on their Form 990. "Reportable Comp" includes salary, bonuses, and other reportable compensation from the organization and related organizations. "Other Comp" includes benefits, deferred compensation, and non-taxable benefits.

Historical Data

Year	Revenue	Expenses	Assets	Net Income
2020	$38,625	$24,833	$118,350	$13,792

MACHINE LEARNING FOR HEALTHCARE